A New AncestryDNA Match with McMaster and Frazer Ancestry and My Sister Lori’s Shared Clusters

I was checking my new matches at AncestryDNA and came upon a match named Rebecca who has a Frazer ancestor from Sligo. This got me interested.

Rebecca’s Frazer Genealogy

Rebecca has a small tree. Here is Rebecca’s maternal side:

I sent a message off to Rebecca, but I’ll also try to build out her tree. It seems like this James may be the James Robert Frazer I have in my tree:

The death date is close.

My guess is that here is how I am related to Rebecca:

That makes us third cousins. She is also the first DNA match that I know of from the William Frazer Line. I did hear back from Rebecca who confirmed that James Robert Frazer was her grandfather.

My DNA Match with Rebecca

Rebecca and I match at 64 cM over 6 segments. Rebecca shows on my list as a 4th cousin, however, the AncestryDNA table for a match of 64 cM shows this:

We have a 37% chance of being third cousins and a 4% chance of being fourth cousins. Rebecca and I don’t share Whitney as a DNA match. Whitney also tested at AncestryDNA:

It gets complicated because Rebecca’s grandmother was also a McMaster. Here is Rebecca’s grandmother’s McMaster side:

I also descend from James and Fanny McMaster. Here is another way to show this:

 

This shows that Rebecca is Keith’s 1st cousin once removed. Also Rebecca is both my third cousin as well as my fourth cousin. This shows how Rebecca would be related to me on my McMaster side. Rebecca descends from Margaret and Hubert McMaster who were the children of Fanny and James McMaster. The people in green have uploaded their DNA results to Gedmatch.com. If Rebecca did this, I should be able to tease out the Frazer DNA from the McMaster DNA. A further complication is that Fanny McMaster who is at the top of the tree is the daughter of Margaret Frazer. However, this Margaret Frazer is from a different Frazer line than George Frazer who is in the tree.

Shared Matches With Rebecca

Here are my shared DNA matches with Rebecca in addition to the shared matches of my siblings and Rebecca at AncestryDNA:

I have information on how I match BV:

BV is a third cousin, twice removed to me, my siblings and Rebecca. This seems to indicate that the DNA connection is on the McMaster side.

Lori and Marshall

In doing the shared matches, with Rebecca, Lori and Rebecca have a shared match with Marshall:

Here is what Marshall has about George McMaster – his 2nd great-grandfather:

It would be nice if I could fit George into the William McMaster/Margaret Frazer Tree above. Margaret Frazer moved to Ontario with most of her children. The best way I know to review Marshall’s tree is to create my own Marshall Tree.

Here is Frederick McMaster with his family in 1911:

Father George was a farmer and Frederick Herbert appeared to be a young twin.

1871 Census

Here is Abraham McMaster and probably his father George in the 1871 Census:

1861 Census

I am finding the 1861 Census difficult to interpret:

There is a note by Abraham which appears to say married. These appear to be the same people as in the 1871 Census. However, the last name is spelled McMastrin. Also Jane shows an “m” for married but also appears to be only 10 years old! I assume that this is the same Jane who shows as 27 in the 1871 Census. A little squiggle in the 10 could be interpreted above as an 18. Here, at least George and Catherine are the same age.

1851 Census

The 1851 Census is stranger still:

Here are 5 McMasters and the oldest is 12. Did the family leave them temporarily? I assume that this is the same family, but I am not sure. If this is correct, and two year old James McMaster was born in Ireland, then that means that they must have moved to Canada around 1850.

The assumption is that Abraham was born about 1837. This seem born out by this grave marker from St. Mary’s Anglican Cemetery in Osprey, Ontario:

Getting from Abraham Back to George McMaster

If Abraham was born in Kilmactranny Parish, that would have been during the time when records were missing. Here is one George shown in the Kilmactranny records:

William son of George and Jane McMaster

Born                                      Bapt. Aug 18, 1843

However, the timeframe is off for the William above unless he was born a while before he was baptized.

Here is where Osprey or Ospry is:

Another George McMaster?

I mentioned another George McMaster in this Blog. This George was married to a Jane and had a son named George Arthur McMaster:

This George was in Vaughan as early as 1847 when his son George Arthur was born:

Vaughan is in York County a little above Toronto.

The question is, was this George, the same as the father of Abraham above? Or put another way, did this George and Jane McMaster have a son named Abraham? The George from my previous Blog married Jane McMaster. The Jane above is believed to be Jane McMaster who is a sister of my ancestor.

Just to confuse things further, Ancestry gives this hint for the George in my Tree:

That hint was based on this tree:

I put a box around my ancestors.

Any Conclusions?

From the above, I would say that the George McMaster who married Jane McMaster is most likely not the same as the George McMaster listed above in the 1861 Census along-side of Abraham McMaster. Two trees at Ancestry have the George who married Jane McMaster dying in 1847. This is likely right as Jane marries William Thompson in 1851.

The fact that Abraham was living in the same or next house as George McMaster in 1861, implies but does not prove that George was the father of Abraham:

My further guess based on the genealogy and DNA is that the shared match between Lori, Rebecca and Marshall goes back further into McMaster history. I have been unable to connect all the McMasters, but the DNA seems to be pointing in the direction of that connection.

More DNA

It seems I have made this simple match with Rebecca into a complicated Blog. That is because Rebecca’s DNA match with my family seems to point to the McMaster side of my genealogy which is a bit convoluted – not unlike the Frazer side.

Here is some more detail on Rebecca’s shared DNA matches with my family:

 

Here I have added my match numbers with Rebecca as well as my siblings’ match numbers. I have also add match numbers where they appear with shared matches. In scanning from left to right, it appears that Lori has the most shared matches. After that, I added whether the match had an Ancestry Tree. CA means that they have a tree and Ancestry indicates that we share a common ancestor. I share common ancestors with Rebecca, but either Ancestry hasn’t picked up on that yet or Rebecca’s tree is not detailed enough. There are few directions I could take at this point. I could look at more trees or at more DNA. I’ll try the DNA route.

My Sister Lori’s Shared Clusters

Jonathan Brecher has a utility called Shared Clustering. I’ll run Lori through that program as she has the most shared DNA matches with Rebecca. Here is how the Lori’s shared clusters look at a limit of 40 cM:

At that level, Lori has 4 clusters. Cluster 1 represents her paternal grandfather side. Cluster 2 represents Lori’s maternal side and Clusters 3 and 4 on Lori’s paternal grandmother’s side. Rebecca’s match is right in the middle of Cluster 3. Right above Cluster 3 is a match with Michael. He and Lori have a Frazer common ancestor, but because Cluster 3 appears to be a McMaster Cluster, Michael is not in Cluster 3.

I have circled the different Clusters in green.

Whitney also shows up in Lori’s Cluster 3:

Melanie, Emily and Paul don’t show up because they had their DNA tested at different companies. Melanie doesn’t show up on Lori’s shared match list with Rebecca. However, because both Rebecca and Melanie match other who are in the Cluster, they are included in Cluster 3.

Bringing Lori’s Shared Clusters Down to 30 cM

I’ll try Lori at 30 cM to see who we pick up along the way. At this point, I’m just interested in the Cluster Rebecca ends up in:

Now Rebecca is in Cluster 1. A new Cluster for Frazers has appeared in Cluster 2. A few matches who were previously in Rebecca’s cluster jumped ship to the new Cluster 2 at this level. The last two members of Cluster 1 appear to be fairly closely related to Cluster 2.

Here is a summary of Lori’s clusters so far:

Bringing Lori’s Shared Clusters Down to 25 cM

At this point, Lori has gone from 9 clusters to 19:

Rebecca is now in Cluster 9 with a Frazer Cluster 10 right below.

Bringing Lori’s Shared Clusters Down to 20 cM

At this level, I should see Marshall. I had looked at his Irish/Canadian McMaster ancestry earlier.

Believe it or not, I find this cluster detail very interesting.

Clusters 27 – 33

Here is my markup:

There is a connection between the two pink squares. These represent Lori’s Frazer ancestry.

It appears that Violet Frazer and James Frazer were first cousins. The second pink chart above Represents Richard Frazer and his daughter Violet. That leaves the first pink box in the Shared Cluster Chart which should represent the James Frazer side.

However, notice that the second pink square is split into two. A possible explanation is that one of the two clusters could represent the unknown spouse of Richard Frazer born about 1777. I would assume that Cluster 30 could represent Richard’s unknown spouse. Whitney is in this cluster, so I am proposing that Whitney may have gotten more of the DNA from Richard Frazer’s wife:

It’s a theory.

A Clue to Marshall’s Ancestry?

Marshall is in Cluster 29 which subtly separated from Cluster 28. However, notice that Cluster 28 has more matches with other clusters. Cluster 29 has fewer matches. That leads me to believe that Marshall’s genealogy goes back on the James McMaster Line.

This leads me to another observation. That is that Cluster 29 appears to match up better with Cluster 33:

I had that Clusters 32 and 33 probably represent William McMaster and Margaret Frazer. So that tells me that William McMaster could be represented by Cluster 33.

Lori’s Final Shared Clustering

Lori’s final shared clustering should look the same as the 20 cM clusters. The difference is that small matches are added in down to 6 cM. My understanding is that these matches will generally be outside the clusters but associated with the clusters. Let’s take a look:

Here is the detail for Rebecca and Marshall. They are now in Cluster 40 and 41. In the past two runs Lori had 46 clusters. However, in this final run, the clusters got shuffled around – I suppose due to the smaller matches being added in.

Well, I could keep on going, but I’ve gone on too long already.

Summary and Conclusions

  • I was happy to find a DNA match with Rebecca. We are third cousins through our common ancestors of George William Frazer and Margaret McMaster.
  • Based on the DNA, Rebecca and I are more related on the McMaster side. That is not a surprise as our common ancestor Margaret McMaster had two McMaster parents and Rebecca’s grandmother is also a McMaster.
  • I also looked at some more distant DNA matches going back William McMaster born about 1790 and his wife Margaret Frazer. They left for Ontario in the 1800’s with their children but left one daughter Fanny stayed behind in Kilmactranny Parish, County Sligo, Ireland.
  • I then did a somewhat complicated cluster analysis focusing in on my sister Lori, her match with Rebecca and their common matches.

 

 

 

Shared Clustering for My Father’s First Cousin Joyce

Shared Clustering is a program that was brought to my attention by Jim Bartlett. As Joyce is my father’s first cousin, I share common ancestors with two out of four of her grandparents:

However, once I go down this route, I need to know something about Joyce’s Gurney and Rounseville sides to make sure I’m not going down the wrong path.

Jumping Into Joyce’s Shared Clustering

I had thought that I had downloaded Joyce’s matches from Ancestry already, but I guess it didn’t save the results. I’ll need to try again:

Joyce has quite a few matches – over 84,000. This could take a while to download. The advantage of using Joyce’s matches is that she is one generation closer than me to get matches from my great-grandparents. Stated another way, her Hartley and Snell matches should be about twice as strong as mine.

Now that Joyce’s matches are downloaded, I can begin to cluster. I’ll choose a lower limit of 50 cM:

 

I’ll put the results in a chart:

The good news is that all four of Joyce’s grandparents are represented in the chart above. There were six clusters. There were two more on the Gurney side that I didn’t enter.

Joyce’s 40 cM Clusters

Going from 50 to 40 cM adds two clusters:

The split is pretty even between Gurney in the upper left and Hartley in the lower right. Joyce’s Hartley mother was one of 13 children, so she has a lot of close relatives.

When I compare the clusters at two levels in MS Access, I get this:

Hartley was Clusters 5 and 6 previously. This shows that old Cluster 5 mapped to Cluster 6 and Cluster 6 mapped to new Clusters 6 and 7. That shows that the clusters are reorganizing.

Victoria in Cluster 6 with Howorth Ancestry

One person in Cluster 6 has Howorth ancestry. It would be worth looking into Victoria’s tree:

This is Victoria’s paternal side. I’ll try to recreate Victoria’s tree.  I want to focus on Margaret Howorth. According to the 1910 Census, James’ mother was Margaret and Margaret’s father was from England:

The 1910 Census has her born in Iowa in about 1878. Here is some information about Margaret from her marriage record:

Edmund Howorth from England

In 1880, Edmund was living on a Farm in Iowa with his family:

This appears to be Edmund living with his parents in Ohio in 1850:

The next record which is a hint at Ancestry seems to be a leap of faith except that one of my ancestors attended this same Baptist Church:

The record makes it clear that Edmund’s mother’s maiden name was also Howorth:

That means that Joyce could be related on either side of the family or both.

Edmund the father was a weaver in 1823. I’m not sure where Long Bridge is or was. I assume in Bacup. This also matches Edmund’s birth on the 1900 Census:

By 1856 the elder Edmund had made his way to Crawford, Iowa:

Howorths in England

It appears that the Howorth’s should have been in England in 1841 for the Census. This could be the younger Edmund:

He was living at Waterside which I assume is in Bacup with perhaps his grandmother and Uncles?

Back to Iowa for Edmunds 1861 Will

Edmund mentions first his daughter Sarah, then his wife Mary:

Next. he mentions his four children and finally his brother Daniel and his son Daniel executor:

The son Edmund is not mentioned. However Edmund is referred to as Senr. which I take to be Senior and thus the son Edmund is implied in the will.

Liverpool to New York in 1842

This appears to be the Howorth family traveling to New York in 1842:

However, some of the family appears to be missing. I assume that the elder James was a brother of Edmund.

Connecting the Howorths

I would like to connect this family to my line:

Perhaps more DNA review will help clear this up. These two lines are from Australia on the left and the US on the right and are connected by genealogy and DNA.

On To Joyce’s 30 cM Clusters

At 30 cM, Joyce has 21 clusters. Using Access, I get the new cross-cluster comparison:

I’ll try this for now:

However, there were two Cluster 6’s last time, so I’ll have to check. Also, I’ll want to see if there are any new Hartley side clusters.

Gurney Clusters 7 and 11

I have a note that one of the people has many of my ancestor names, but the DNA match is in a Gurney Cluster. That tells me that I should not pursue the ancestry of this one match. That is, unless this match has other DNA matches on my Hartley side.

There is a similar situation at Gurney Cluster 11. However, this Cluster has common ancestors from Joyce’s maternal and paternal sides.

First, if there is more than one common ancestor, I tend to go with the closest common ancestors.

Hartley Cluster 13

This is the big Cluster this time:

It also has a funny bump at the bottom. The top left of the Cluster is a part I’m interested in.

I already looked at Victoria’s tree above. That is the tree with two Howorth Lines. Above are my Greenwood Hartley matches. Here is Greenwood and his wife Ann Emmet:

It was Ann’s mother who was a Howorth.

Of the 7 I show in the first part of Cluster 13, I have already been tracking the last 5. I have Kristen and Emily in a tree already:

I have been unable to figure out where saudet fits in. Jennifer doesn’t have a tree and I haven’t been able to get in touch with her. Perhaps the first two matches, Janet and Stephen, will help place saudet.

From comparing trees, it is clear that saudet is related to Stephen. So I will look at Janet’s tree:

It appears that both sides of Janet’s tree are from Lancashire. I see that James Stott was born in Cloughfold, to the West of Bacup:

Janet had this marriage for James:

I’ll assume that Janet knows her genealogy.

Here Janet has James mother as Malley Stott. The 1881 Census mentions a Sarah Stott. So there is some confusion. Was Malley a nickname? So I didn’t make the genealogical connection but now Janet is on my radar. I did make a geographical connection.

The Other Side of Cluster 13

In the middle of Cluster 13 are a lot of close relatives. It comes out of that on someone named Bessey. I’ll take a look at her tree:

It’s a bit skimpy, but I get some hints:

Althea was married to a Fearing. I thought that I was related tot he Fearings through the Snells and this shows how. We both descend from Bradford and Snell.

It looks like I was already tracking a Katherine. This person must be the same person or a sister:

The part of the Cluster in green is Snell:

Moving on to Joyce’s 25 cM Clusters

This gets Joyce up to 43 clusters.

Cluster 2

Cluster 2 is broken into two major parts and a small part at the end. The first part is probably Snell/Bradford. The second part is probably Hathaway/Clifton. The third small part seems to merge back into Gurney (not related to me).

Running the 25 cM Clusters Through Access

Access makes reviewing the clusters easier:

This is only part of the answer. Looking at the last two columns, this tells us that the previous Cluster 1 mapped to Cluster 2 at the 25 cM limit. However, that is not the whole story:

When I sort by new Cluster 2, I see that it comes from other places. Usually the clustering is going from few to many. In this case, it went from many to one. From the chart above, at 50 cM, Clusters 3 and 4 are Gurney Clusters. This may be a result of the way I did my Access query or have to do with relatives of relatives.

Here is my Access query:

It starts with the 25 cM Clusters. There is a right handed arrow which means to include all the 25 cM Clusters plus the clusters where the 25 cM clusters are the same as the 30 cM clusters. I do that the same way down the line. I tried to query a slightly different way and got the same results.

Here are Clusters 3, 4 and 5 from 50 cM:

Clusters 3 and 4 are Gurney matches and Cluster 5 shows Hartley matches.

I can simplify my Access Query by only including those Hartley Clusters I considered at 30 cM:

Interestingly when I restrict the 30 cM Cluster, I no longer show Gurney Clusters 3 and 4 at the 50 cM level. This shows that previous Cluster 13 may now be 2, 4, 5, 6, 7, or 9. Cluster 2 is interesting in that it also came from Cluster 1.

Here is another way to slice and dice it:

Cluster 5 at 50 cM was my Snell side. Cluster 6 was my Hartley side. That means that Clusters 6, 7, 9, and 25 should be on the Hartley side. This is generally true except for Cluster 25:

There is someone there who is related to Joyce on her Gurney side. However, he also has a Howorth ancestor which would be on Joyce’s and my Hartley side. I had discussed this some above.

Restricting Members

In my previous Blog I restricted my wife’s large French Canadian clusters to 40. I wonder what would happen if I restricted Joyce’s clusters? One of the great things about the Shared Clustering Program is that it only takes a minute to see what happens. I tried it and it didn’t help. I only lost one cluster and I lost the English Hartley Clusters that I am interested in. So where it helped in one case, it didn’t help here.

Looking At Clusters 2, 6, 7, 9, 25

Actually, I already mentioned that Cluster 25 is a Gurney Cluster, so that is confusing. I already looked at Cluster 2.

Plus, Victoria’s tree with the Howorth families is now in Cluster 6. After shuffling things around a bit, I get this:

This also has Cluster 5 which I missed above. It takes a little bit to sort these out.

Cluster 4

I haven’t mentioned Cluster 4. This also came from busy previous Cluster 13. Cluster 4 is hanging off of the top left of Cluster 5:

There are only 6 matches in Cluster 6, but two are associated with Cluster 5 and one with Cluster 9. As Cluster 5 and 9 both have Snell’s in them, that tells me something about Cluster 4. Here is one tree in Cluster 4:

I’ll fill out this tree to see if I find any common ancestors:

Now if Ancestry could have figured this out, it would have saved me some time. Here is my tree:

Our common ancestors are Snell and Head. However, my guess is that there are other connections. I see also Palmer in LPs tree. I had to extend my existing chart from Isaiah Snell:

This is how LP matches Joyce:

More Snells in Cluster 5

Joyce’s first match in Cluster 5 has a very large tree. Joyce and John’s ancestors go two steps beyond the tree above to Thomas Snell. I might as well add in John. However, it will make the names tiny. That makes John and Joyce 8th cousins:

The other Snell match who I know of is OT:

Here is OT added in:

Cluster 7 From Lancashire

Cluster 7 has an interesting shape:

New in this Cluster is Ruth. Joyce and Ruth’s common ancestry go back to Pilling.

Ruth is in yellow as are the other 2 in this Cluster. One theory is that the overlapping clusters in Cluster 7 are for Hartley and Emmet. As Ruth has no known Emmet DNA, that could mean that Kristen is related to Joyce more on the Hartley side and Emily is related to Joyce more on the Emmet side.

Cluster 8

This Cluster is situated between my Hartley and Snell Clusters. There are only three in this Cluster. One match, LD, has a tree:

Here is my buildout on LD’s maternal side:

I’m curious about this part of the tree:

I did a genealogy on the Snell’s years ago and didn’t have that Samuel had a son named Peter. This Peter was from Freetown and Samuel was from Tiverton. So there must be a Snell connection, but perhaps not through Samuel. Also looking at Cluster 8, there are some matches to Cluster 9 which is a Snell Cluster.

Taking Joyce’s Clusters Down to the Minimum at 20 cM

This involves correlated matches that are down to 6 cM. This gets me 104 clusters. At the 6th cousin level, Joyce has 128 5th great-grandparents. However, I have already mapped out a match for Joyce at the 8th cousin level. At this level, Joyce has 512 7th great-grandparents. That is far back and old.

Comparison in Access

I brought part of the cluster spreadsheet into Access and compared it to the two previous cluster runs. I set the previous run to only include non-null values. Then I sorted by new cluster number:

So that tells me that the new Cluster 1 and 4 came from the old Cluster 6. Cluster 6 is the one I had as Howorth previously.

Here the new Cluster 1 has many notes on Howorth. However, I have no notes on Clusters 2, 3, and 4. Cluster 4 extends down quite far with a lot of small matches.

Starting at the Top – Joan’s Tree

There are some names above Cluster 1:

  • Sammy doesn’t have a usable tree
  • Ann has a common ancestor with Joyce of James and Mary Howorth
  • Joan has a tree with three people

Here is Joan’s tree:

Here is Mary Jane in 1940:

I think I already tracked this family. Here is Victoria’s tree:

Joan’s tree matches up with Edmund and Sabrina:

Actually, I have a guess for Edmund at the top:

This is from the Ebebezer Baptist Church in Bacup where my Howorth were baptized. Edmund mentions his brother Daniel in his will. That must be his brother Daniel above.

Here are the dates of the births:

The Tong Connection

Edmund and Ann’s children were born in Tong. I mentioned Tong in a previous Blog. Here are the children of my ancestor James Howorth:

This timeline is confusing becuase there are two Betty’s. Also Abram is another name for Abraham, so there appear to be two of those. Esther is my ancestor. I have that her youngest two siblings were born in Tong. Tong is to the East or SouthEast of Bacup:

Cluster 1

Cluster 1 adds Sara:

Sara’s tree already made the connection with Edmund Howorth of 1823.

Gretchen has an unlinked tree:

Now that I’ve gone down this route, I feel obliged to check for a Howorth connection:

I have a feeling the connection is through Hetty Nuttall, but I had trouble figuring out where in England she was born.

From Bacup to Trawden: Cluster 1 to Cluster 54

Cluster 53 has a Snell/Bradford common ancestor. Then there are some closer cousins. Then there are two with Hartley/Emmet ancestors. So Cluster 53 is a compound Cluster. Cluster 54 has some Hartley/Emmet common ancestors. Below that, there is a Sarah Pilling ancestor that I would like to look at. The first person in Cluster 55 has a Hartley ancestor from the area where my Hartley’s lived. The first person in Cluster 56 has Hartley also but no tree.

Sarah Pilling Common Ancestor

A match associated with Cluster 54 shows Charles and Joyce as having a common ancestor with Sarah Pilling:

I would like to take a look at this connection. In my tree, I have that Sarah Pilling was a single mother:

Charles’ tree stops short of the older Sarah Pilling:

Apparently, Ancestry made the connection based on my tree:

This is the record I had for John:

I don’t know if Charles got his/her information from my tree or if it was gotten independently. apparently, there was a record that John was the illegitimate son of Sarah. I had assumed that Greenwood Pilling was also an illegitimate son of Sarah who was not baptized (or at least I found no record).

Also, I note that if I have my tree right, there would be Stansfield in this line:

I have come up with Stansfield connections in other DNA matches, so that is something to consider.

Cluster 55

Here is how these Clusters compare in Access with Clusters from earlier runs:

That check that by walking it forward. By forward, I mean from the 20 cM run to the 25 cM run to the 30 cM run. 55 goes to Cluster 1 then Cluster 14. The problem is, I haven’t been tracking these Clusters.

The previous Cluster 1 was under the radar with only three matches:

This further mapped back to Cluster 14 at the 30 cM cutoff. That was also under the radar:

However, since Cluster 55 below has a Shackleton, perhaps it would be be worthwhile to look at Claire’s tree. Claire is also in Clusters 55 and 1.

Claire’s Cluster 55 Tree

This tree has dates but no places. I’ll be making my own tree. My tree shows that this family was from Wharfesdale which is between Ilkley and Otley:

I brought Claire’s tree back to 1823 int Otley. There I found an Elizabeth Hartley:

The clues for Elizabeth’s parents lead me to John Hartley of Colne and Sarah West of Otley. Here is Elizabeth’s birth and baptismal record:

The 1851 Census says that John Hartley was from Colne:

Here is Elizabeth in 1841:

Elizabether’s father, John, is listed on the previous page as an agricultural laborer. He apparently became a paper maker because of his father in laws. Also there is a George Hartley living next door – perhaps a brother of John who was born in Yorkshire.

Here is George’s birth in 1815 to Samuel Hartley:

It looks like I am stuck on John Hartley.

Lee’s Cluster 55 Tree

Lee also has a Hartley in his tree:

Confusingly, Margaret’s father is given as Lawrence Halstead:

 

Rebecca’s Tree

Rebecca in Cluster 55 has a tree with Shackleton:

Ancestry has shared surnames in green. Here some more of Rebecca’s tree:

The tree I built out for Rebecca also has a John Shackleton:

I’ll look into Rebecca’s tree. In 1871, Thomas Shackleton with his father Henry and family were living in Harden, Yorkshire, but were born in Heptonstall:

Here is Henry’s marriage record:

Beyond that, I cannot be sure.

Summary and Conclusions

  • In this survey on Joyce’s clustered, I focused mostly on the Hartley side. However, I looked at a few Snell matches
  • I used the clusters to identify new people in them with new trees that I could build out. It helps to know that you are looking for a certain branch of the family that lived in or probably near a certain location.
  • I didn’t have any major breakthroughs but attempted more contacts and got closer to finding out more about my ancestry.

Shared Clustering for My Wife’s Aunt Suzy

My wife’s brother recently took a YDNA test. I can’t do an AncestryDNA Shared Clustering for my wife’s father because he didn’t test at AncestryDNA, but I can look at Aunt Suzy’s Shared Clustering

What Is Shared Clustering?

Shared Clustering is looking at shared DNA matches. The theory if you have a bunch of shared matches that also match each other they are likely from a common ancestor. Jim Bartlett got the idea of walking back your shared clusters. That means starting with your more recent clusters and going back through the years to check on and verify your older clusters which represent more distant ancestors. Jim used Jonathan Brecher’s Shared Clustering Program.

Let’s Download Aunt Suzy

I used Jonathan Brecher’s program to download Aunt Suzy’s AncestryDNA results:

Aunt Suzy also goes by Virginia which is probably a more official name. Suzy has over 68,000 total DNA matches. That should take a couple of hours to download. Once the download is down I’ll be able to look at Suzy’s clusters.

What I Expect Based on Suzy’s Ancestry

I already know what to expect in general from this excercise. Half of Suzy’s ancesty is French Canadian. They will result in many matches. The other half is Irish and they will result in fewer matches and shared ancestors.

Suzy’s dad was from an Irish background. Suzy’s mom was more recently from French Canada.

A Test Run of Shared Clustering

Suzy has 82 third cousins. Where do I set my first cluster level? Ancestry says that Suzy should start getting third cousins at 199 cM. However, I clicked through a lot of Suzy’s actual cousins and the third cousins didn’t show up until somewhere bettween 128 and 118 cM. So I’ll set the first cutoff at 123 cM. Odd number:

This was good enough to give me a paternal and maternal view of Suzy’s ancestry:

Cluster 1 is paternal and Cluster 2 is maternal. The thing that looks like a Red Cross plus sign in the middle would be Suzy’s closer relates. They match on her father’s and mother’s sides.

I’m going to put Suzy’s cluster results in a chart sorting her clusters by grandparent:

Spoiler alert is that Suzy should have a lot of LeFevre matches. I could put in Suzy’s paternal and maternal single clusters in the chart, but that would be a waste of space. Instead, I’ll bring Suzy’s cluster level down to a maximum of 50 cM from 123 cM:

Still there are only three numbered clusters, though, as above, I can see clusters within the clusters. I’ll go lower still.

At a 40 cM Limit, Suzy Has 8 Clusters

I’ll be happy to start here:

Things get a bit blurry at this level. There are 216 matches on this chart. They are not all in clusters, but most of them are.

Cluster 1

This should be easy:

Here as a Common Ancestor, Joseph Pouliot is listed as well as Pepin. However, this relationship goes back several generations:

Maybe not so easy. The Pouliot that I was thinking of is in Cluster 5:

Three of the matches have the common ancestor of Joseph Pouliot and Josephine Fortin:

I’ve been in touch with Fred. Because there are two common ancestors, I don’t know which one the DNA goes with, so for now I choose the daughter in Virginia’s line who is Emma Pouliot:

On to Cluster 2

I put Cluster 1 on hold. Cluster 2 is quite large:

In order to tame it, I retrieved all the common ancestors from Cluster 2 and put them in alphabetical order:

This name comes up quite often:

However, this goes quite a ways back. I think I need a new set of clusters. I’ll go back up to 45 cM to see if this makes things simpler:

5 Clusters for Suzy at 45 cM

The thought is, that if these clusters are obvious, they should map to the 40 cM clusters.

Cluster 1 Is Large

By the common ancestor names, this must be a LeFevre cluster. Here is a popular common ancestor:

One step backward, two steps forward?

Cluster 2

This should be the same Cluster that Fred was in above:

Cluster 3 Goes To Old Common Ancestors

This was the problem I was having with Cluster 1 at 40 cM. In fact, I’ll go to Access to compare the 40 cM clusters with the 45 cM Clusters:

I start with the 40 cM clusters as there are more with them. I join them to the 45 cM clusters by the Test ID. Then for the join I choose option 2. That says include all the records from Virginia’s 40 cM cluster and only those records from Virginia’s 45 cM Clusters where the joined fields are equal. Then on the part below in the query screen, I reverse the order with the 45 cM results first, so it will look more like my summary table.

It is possible to do this without Access but it would take quite a bit of time. I also group my query results. This takes out the duplicates:

This shows that the Cluster 3 I was looking at with the 45 cM cutoff, maps to Cluster 2 at 40 cM. Cluster 2 at 40 was the same one I looked at above and was having trouble with because the common ancestors were so ancient. I then took the clusters up to 47 cM:

This shows Clusters 4 and 5 at 47 cM. Cluster 4 is the more recent Pouliot Cluster. That tells me that there are a lot of connections between the two Clusters and that the bigger cluster must be an ancestor of Pouliot (or Fortin).

Here are the same two corresponding clusters at th 45 cM cutoff:

Now they are Clusters 2 and 3. As the larger cluster is an ancestor of Pouliot, I’ll extend Emma Pouliot’s tree:

This brings Suzy out to her 5th cousin level. However, some of the common ancestors were out at the 6th cousin level. The confusion could be that there are two Trembely or Tremblay lines. However, both Tremblay lines go through Josephine Fortin. Here is her line with the Cluster 3 common ancestors highlighted. Actually, these are the Cluster 2 Common ancestors from the 40 cM run:

All these common ancestors funnel down through Emma Fortin. Imagine that you are John Brecher’s computer program and you had all of these ancestors. What would you do? You would probably come up with something like Cluster 3.

Bottom line:

Here I mapped Cluster3 at 45 cM to Cluster 2 at 40 cM. It’s a lot of work to map one Cluster, but I feel as though I got it right.

Cluster 4 at the 45 cM Cutoff

Cluster 4 is off to the bottom left of Cluster 3. Cluster 4 has some affinity with Cluster 3 as can be seen by some of the matches to the left of Cluster 4 and underneath Cluster 3. Cluster 4 at 45 cM maps to Cluster 1 at 40 cM. This is one that I got stuck on above.

I’ll take what I learned with Cluster 3 and apply it to Cluster 4. I’ll just say that this Cluster goes to Joseph Pouliot born 1848:

Above I highlighted the AncestryDNA suggested Common Ancestors for Cluster 4.

Cluster 5 – The First Irish Cluster

So far, I have been dealing with French Canadian clusters. This is the first Irish one.

This Cluster has both of Suzy’s Irish grandparents, so I’d rather not put it in my spreadsheet just now. In general Butler is at the top left and Kerivan is the rest of the Cluster. I note that, based on my previous Access query, this will be mapping to two Clusters at 40 cM.

Back to the 40 cM Clusters

Irish Cluster 5 at 45 cM mapped to Clusters 6 and 7 at 40 cM. I’ll start with those.

In addition, there are now Clusters 8 and 9. Due to close relatives, Cluster 6 has Butler and Kerivan still. Here is the area with just Butler:

I’ll call that 6a.

Clusters 6b and 7

Here are Clusters 6b and 7:

However, both Clusters have the same two common ancestors. It could be that one Cluster favors Kerivan and the other Rooney. I would rather assign them both to the daughter at this point.

Clusters 8 and 9

Clusters 8 and 9 are small. They seem to favor the Kerivan side. One person in Cluster 8 has a tree with 247 people:

I notice he has a Bridget Rooney in his tree. At this point, I could try to build out his tree or wait to see what happens with further clustering. I’ll create a tree as I’m curious. I’m having trouble getting back to Bridget from Alice McCusker. Here is a transcription of her baptismal record:

One of the witnesses was a Patrick Rooney.

It looks like the family was enumerated as McCarty in 1870:

In 1880, Bridget was a widow:

This record pulls things together:

From that record, I get this:

Lawrence and Suzy are third cousins.

I don’t like the look of Cluster 9, so I’ll ignore it for now:

When I say I don’t like the look of it that is because it appears that this could be two small clusters.

Clusters 3 and 4

In my mapping, the previous Cluster 1 went to Cluster 4, so that is LeFevre. Here are the listed Common Ancestors for Cluster 4:

The Butler entries are too close for clustering. Most of the Common ancestors seem to go back to Lazare Lefevre and Adelaide Boure:

However, one went back to Methot and Anger:

Ancestry would like me to evaluate this tree. I’ll bite.

I am questioning why Armand Petrelli is the son of Alphonse Moreau. The 1930 Southbridge Census has Armand as the son of Joseph Petrelli:

Actually, I see what happened.

Robert got his tree backwards:

His mother is Moreau. His maternal grandfather should be Alphonse Moreau – ot Joseph Petrelli.

Here is Jeanette in 1920:

The other problem is the Athanase I have in my tree is a man and Robert’s connection to me is shown through a female Athanase.

I think I’ll just assume that this is an earlier LeFevre Cluster rather than Methot:

That leaves the new Cluster 3:

Cluster 3 has four connections to Cluster 2 (Fortin) and two to 4 (LeFevre). I don’t have a lot of information, so I’ll just add Cluster 3 near Fortin:

This could be a long Blog, but I like that the clusters seem to be falling into place – even with the French Canadian families.

Suzy’s 18 Clusters at 35 cM

This looks like the 1,000 foot view:

In Access here is how the previous clusters map to this set of clusters:

This is interesting because the Cluster 3 I was looking at above, maps to 7 and 8 but Cluster 2 also maps to Cluster 7.

Cluster6 mapped to 9, but I had a 6a and 6b. It turns out that the Cluster 9 has not separated out yet due to Suzy’s close relatives being in that cluster. From above, it looks like a lot of the action is in the French Canadian quarters.

Looking At the Irish Side – Down to 30 cM

I’ve decided to take a new easier approach. I am more interested in the Irish side at this point. The French Canadian side is interesting, but much of the genealogy is seemingly well-defined. At least the answers seem to be there if you dig deep enough. Describing the French Canadian clusters may be interesting, but it is a lot of work. I had some luck above with Rooney, so I’ll stick with the Irish and go down another level to 30 cM.

I ran the Shared Clustering program and came up with some more large French Canadian Clusters. I notice there is a button where you can filter out the larger clusters.

I thought I wanted to use the first box, but that is for the entire file. I want the second box to get rid of the large French Canadian clusters. Without this filter I get:

  • Cluster 2 goes from row 15-266
  • 21 goes from 441 to 485
  • 22 which I want goes from 487 to 509 or about 23 rows

I’ll try setting the cutoff at 40 members. I like this because I can now see what is going on:

This reduces the number of clusters and changes the cluster numbers, but that is OK. I’ll just put another heading on my Summary Chart:

I brought these new restricted clusters into Access and compared them:

Here I have only 5 clusters. That made a huge difference. Without the 40 member cutoff, I get 31 clusters. Life just got simpler.

Above Cluster 9 goes to Clusters 1 and 2. Cluster 9 was the one that I had split previously. Here are the new Clusters 1 and 2:

Cluster 1 is the Kerivan side and Cluster 2 is the Butler side.

This is interesting because former Clusters 10 and 11 reclustered into the new Cluster 1. Now I’m curious to see how the unfiltered Clusters would have mapped:

This goes off the page above. One unexpected result is that under this configuration the previous Cluster 9 now only maps to one Cluster 4. However, now the old Clusters 10 and 11 map to their own clusters. With the restriction of the large clusters, I was expecting no effect on the Irish clusters, only on the large French Canadian clusters. However, the restriction also had an effect on the Irish Clusters.

The bottom line is that I could work with either the restricted or non-restricted clusters, however, for the purpose of looking at the Irish clusters, I would rather deal with the restricted clusters.

Irish Cluster 1

At 30 cM with a restiction 40 per cluster, I get two Irish Clusters. The first one is the Kerivan side. The first person on the list is not in the cluster but has matches to Cluster 1. He has a small tree with a Hanrahan in it. The fourth on the list shows a correclation to Cluster 1 and has a public tree. I don’t see any obvious match and would prefer not to build out this tree.

The last person before the Kerivan Cluster 1 has a curious common ancestor named Mary:

This looks worth pursuing. The relationship is shown as half first cousin, but it is likely a full cousin relationship unless Mary married two different Rooney’s. Here is Suzy’s tree starting with her Kerivan grandfather:

The Ancestry shared ancestry tree looks suspicious also because it appears to show that there were two brothers named Timothy Rooney. I’ll try to recreate Daniel’s tree to see what is going on. I was having trouble with the tree, then I found a chart I had made a while ago:

This shows John Henry descending from a first wife of Timothy Rooney. I’ll put that on my new Rooney Tree:

I’ve ended up with a half relationship after all. However, it now appears that Daniel and Suzy are 1/2 third cousins once removed. I tried to distinguish the two branches with different colors.

The next person in Cluster 1 who I haven’t looked at yet is FG:

FG has an unlinked tree:

I noticed the name McCusker:

I like the easy ones. See, I’m a Rooney specialist.

Andrew from Cluster 1

The next person in Cluster 1 with a usable tree is Andrew:

After a little snooping around Ancestry, I came up with this:

Andrew goes on my Rooney Tree:

That brings up a point. The first three matches are not Kerivan matches. Technically, that makes Cluster 1 a Rooney Cluster.

Russell and Sandra

Russell and Sandra should be easy as they show Common Ancestors at Ancestry:

Bob’s Tree Looks Hopeful

Bob, who is in Cluster 1, has this tree:

Here is a quick tree to get him on my Chart:

Donna and John

I have a note that Donna is the mother of John and that I wrote a Blog about John. Here is John at Ancestry:

It looks like a good time to start a separate Kerivan Tree:

I found Donna’s sister in the mix also.

H6 and a More Challenging Tree?

H6 is in Cluster 1 with a match of 141 cM:

These families lived in New Jersey and some came from Sweden or Italy, so I had trouble getting this back to Kerivan easily.

On To Butler Cluster 2

The first two with small unlinked trees are Kerry and Janice.

Kerry’s tree:

Janice’s tree:

 

I’m thinking it would be a lot of work to track these trees down. Here is some more on Mary Ann:

I decided to look into this tree based on the fact that I also found a Rooney in the ancestry. Mary Ann’s mother was Rose Rooney.

That could explain the link of Cluster 2 to the Rooney Cluster 1:

Butler’s I’m Already Tracking

 

I already had Donna, Janice and Barbara. I added Harry also from Cluster 1.

Suzy’s Clusters of 40 Members or Less at 25 cM

I checked Suzy’s clusters at 25 cM without the 40 member limit and she had 69 clusters. With all those clusters, I couldn’t see all the clusters on the chart even at the minimum 10%. With the 40 member limit, Suzy had 12 clusters:

 

 

I’m curious what these clusters will show.

Running the 25 cM Clusters by Access

I’ll compare these clusters to the 30 cM clusters in Access.

This says that Clusters 1 and 2 both split three ways. That means that there were also 6 new clusters. I expect the new clusters were a mix of Irish and French Canadian. It seems odd that only the two Irish Clusters that I was working on at the 30 cM limit mapped as I had 5 clusters previously. I’m guessing that the other three clusters mapped clusters of over 40 members, so were screened out.

Cluster 1

I don’t like how Cluster 1 doesn’t cluster well, but I’ll take a look anyway:

In looking over these 4 mathces, I don’t see an obvious connection. Something more may show up at the 20 cM Cluster run.

Cluster 2

This Cluster seems to have an affinity with part of Cluster 7, which looks like a Kerivan Cluster.

Cluster 3

This mapped from previous Cluster 1. I see one person who has a Rooney in their ancestry. This is a person I looked at in the previous Cluster 1:

I’ll put Cluster 3 here:

However, I’ll have to go back and check in Access to see if that looks right:

It is right as it mapped back to Cluster 11 at the 35 cM limit. Also I see that the Cluster 1 at 35 cM that I had looked at above came from the previous Cluster 2 at 30 cM which was a Butler Cluster.

Cluster 4

Cluster 4 is new. Here is the tree for Suzy’s first match in Cluster 4:

Ancestry has Rooney in green as it notices that name in Suzy’s tree. Thomas Rooney above was said to be from County Roscommon. Here is the largest tree from Jean of Cluster 4:

 

Timothy Rooney from Suzy’s tree is supposed to be from Leitrim. Daddy Mick Roone is supposed to be from Galoway (Galway?). Thomas above shows from Roscommon. They could all be right and all be related.

Cluster 5

The person above Cluster 5 seems associated with Cluster 5 and has a tree. However, that person also has connection with Rooney Cluster 3. Here is some Rooney information from the tree:

Here is more of the tree:

Suzy has both Rooney and Sullivan ancestry:

The question is whether Cluster 5 is a Sullivan or Rooney Cluster.

I’ll build out the other unlinked tree from Kerry in Cluster 5:

I’m guessing the connection is on the Gilmartin side as that name sounds familiar. However, I couldn’t get the tree to match with a familar surnam, so I gave up for now.

Anyway, based on the Clusters, I should be looking on the Bulter side for these Cluster 5 matches:

It is easy to get thrown off my conmon surnames. That is why we have to pay attention to the shared clusters. However, having said that Cluster 5 did seem to match both Clusters 4 and 6. So for now, I’ll put Cluster 5 on the Butler side:

Cluster 6 – A Butler Cluster

This is an interesting Cluster because it includes a Cincinnati branch of Butlers who are related to Suzy’s Butlers, but we don’t know how yet. Here is my guess how they could match:

The George Butler Branch from Cincinnati is on the left. The Edward Butler branch who lived for a while in Cincinnati ended up in the Boston area.

Within Cluster 6 is the Boston group and the Cincinnati group:

The last two matches that I don’t have a green box around are closer Butler relatives.

Cluster 7 – Back to the Kerivan Side

I don’t see any new matches in this group, so no new news.

Clusters 8-12

These are all new clusters:

I don’t know if these are Irish or French Canadian Clusters.

On to the Final Clustering at 20 cM

In this run, I’ll choose 6 cM and have a maximum cluster size of 40 keeping in mind that Ancestry’s shared matches are generally at the 20 cM size or larger. This gives me 20 Clusters and some greater detail on what I had already.

First I’ll pull this new information into Access to see how the Clusters map:

This cut off a few clusters at the top. First I see in the 7th row from the bottom, Cluster 2 that went to 1 has no cluster in the last row. That was the cluster that I was wary of.

Here is a sort by the previous run of Clusters:

This tells me the new Cluster 1 is from the previous Cluster 2. The new Cluster 2 had no precedent. One large tree in Cluster 2 had a Crowley ancestor from Cork, but that may be a coincidence.

Cluster Three maps to previous Cluster 9 which I haven’t looked at. I see another Gilmarting in Cluster 3. His ancestry goes back to Leitrim, Ireland. After clicking through a lot of connections, I would guess that the connection is through Ireland. Also a lot of the connections are in Leitrim and I found one tree with a Rooney in it from Leitrim:

Here is an interesting match between Clusters 3 and 4:

This wants to tie together the Jeremiah and John Rooney Lines.

ThruLines suggests another Rooney Line:

Skipping Down to the Butler Clusters

The new Cluster 11 mapped to the previous Cluster 6:

There is nothing new in Cluster 11 itself, but the interesting part is outside Cluster 11 proper:

However, there are four matches above Cluster 11 that show association with Cluster 11. The first person is managed by Patty who I already know about:

Patty is on the George Butler Line. George Butler came to live in Cincinnati.

The third person in the group of matches that are correlated to Cluster 11 is Regina. Here is her tree:

I recognize the Branch name above.  Here is the marriage record for Alma from 1925:

Another person in the group that is correlated with Cluster 11 is Ryan. Here is his tree:

Both of Ryan’s parents were born in Cincinnati. I need to build yet another tree to see if I can find a match:

With a little snooping around, I was able to get back to Alma Branch:

Christy is on the other side of the Cluster 11:

She fits in on the Boston George side:

Emily married an unrelated Butler.

Next under Christy is Larry:

Larry matches clusters on either side. Here is here small tree:

The tree is interesting as both parents are from Wexford. Some of the Butler ancestors were also from Wexford. Unfortunately, the tree is a bit confusing to follow. Was Bridget’s maiden name Browne or Hesse?

Larry has shared matches with Suzy, Brian, Barbara and Janice:

That seems to make Larry a sort of missing link.

Summary and Conclusions

  • I did a first shot at looking at Suzy’s Shared Clusters
  • Not too far into looking at Suzy’s clusters, her French Canadian Clusters got very large.
  • I restricted the size of Suzy’s clusters so I could look more at her smaller clusters on her Irish side.
  • This lead me to some interesting finds on her Kerivan and Butler side.
  • One Butler match was very interesting as it was shared with two Butler branches that I have been trying to connect.

 

 

 

 

 

 

 

An Analysis of My Mom’s Shared Clusters

I’ve been playing around lately with John Brecher’s Shared Cluster Program. I wrote a series of three Blogs looking at my owned Shared Clusters. The last Blog is here.

Downloading My Mom’s AncestryDNA Matches

First I signed into my account using the Shared Clustering program. I chose my mom’s kit and downloaded it.

I used the middle button which says ‘Slow and complete’. It was supposed to take several hours but only took 32 minutes. My mom has 26947 total matches and 438 fourth cousins. That is about half the matches that I have.

First Try: 50 cM Gets Two Clusters

My first try was conservative at 50 cM. I only got two clusters. I was sure to name the output file indicating that it was for 50 cM:

This gave me two named clusters. I say named, because I see that there are probably actually four clusters altogether. My guess is that these represent her four grandparents. The top cluster represents my mom’s mom who was a Lentz.

By the way, my analysis looked like this:

I have a green box around my mom’s side. I will be expanding that like this:

For now, I’ll keep it simple with a paternal and maternal side for my Mom:

3 Clusters at 40 cM

These clusters are in no hurry to separate. That is partly due to my mother, her niece and two grand-nieces being in Cluster 3:

One person I know in Cluster 2, Otis, descends from a Schwechheimer:

Also Gangnus, but more distantly.

At 35 cM, Mom Has 6 Clusters

Now my mother’s maternal grandparents, Lentz and Nicholson are starting to separate. Nicholson is Cluster 2 and Lentz is Cluster 4:

Here is a simple comparison of Clusters between the 40 cM and 35 cM cutoffs:

This shows that the Lentz 1900 went to Lentz and Nicholson as I have them. That means I need to figure out where Clusters 1 and 6 go. These are new clusters with no precedent. All three in Cluster 1 match my mother’s Rathfelder cousin, so Cluster 1 could be Rathfelder or Gangnus:

Cluster 6 also appears to be on my mother’s father’s side which could be Rathfelder or Gangnus. I’ll put them under Gangnus as I have nothing else there so far.

My Mom’s 10 Clusters Down at the 30 cM Match Level

My MS Access query gives me this:

At the 30 cM level, this shows that Clusters 3, 6 and 10 are new. The previously new Clusters 1 and 6 at the 35 cM level map to new Clusters 9 and 1. Cluster 7 is interesting it has no precedent at the 35 cM level but one of those non-precedents was previously a Cluster 2 (Scwhechheimer) at the 40 cM level. So that may be a clue. Here is how these 35 cM clusters map at the 30 cM level:

Three maps to 8 and 7. 5 maps to 2. Technically 5 did not map to 7 but someone who was in the precursor to 5 mapped to 7. This probably gets into intermarriage in the German colony of Hirschenhof, Latvia where some of my ancestors lived. I suppose I could have omitted the second 7. Here is Cluster 7:

It looks to have two parts to it.

That leaves Clusters 3, 6 and 10 to map. Because I compared the clusters above in Access, I didn’t have to know anything about who was in the clusters when I mapped Clusters 1, 2, 4, 5, 7 and 8. However, for Clusters 3, 6 and 10, I have to know something about these people to put them in the right places.

Finding a Home for Cluster 3

Cluster 3  at the top left is part of a larger Cluster 3-4-5 complex:

The is a large area below the second green box which can be ignored as that would be my mother’s close relatives. The second green box is Lentz. Below the close relative area is Nicholson. One person in Cluster 3 matches 2 people in the Lentz Cluster. However, 3 people in Cluster 3 match people in the lower right Nicholson Cluster. So I’ll say this is a Nicholson Cluster. The Nicolson’s came from Sheffield, England. One person in Cluster 3 has a tree. This tree shows both of his parents being from England.

Cluster 5 – Consider the Source

Here I have both Lentz and Nicholson mapping to Cluster 5. How does this make sense? The ones that map from Lentz (4) to 5 are my mom’s close relatives, so naturally, they would match both sides. I’ll take the Cluster 5 that comes from Cluster 4 out. That is one of the disadvantages of mapping the numbers without considering the source.

Cluster 6 – Rathfelder Side

Here are my notes on this small Cluster:

My Rathfelder grandfather was a German from Latvia. So by geographical phasing, that puts Cluster 6 somewhere on his side.

Cluster 10 – Mystery Cluster

Cluster 10 has strong internal matches indicated by the dark color of the Cluster. However, I don’t see any other matches with other groups or clusters:

Two of the matches have large trees of over 25,000 people. Comparing my mom’s tree and this large tree brings up the name Clayton:

However, JK also shares these areas of ancestry with my mom:

Here I have banished Cluster 10 to the Unknown Realm:

So now I am ready to dive into new depths of my mother’s clustering ancestry.

Mom Is Up To 18 Numbered Clusters at 25 cM

25 cM is the next to the last stop for our analysis. This is an important level, because at this vantage we can look toward the more recent 30 cM clusters and will be able to look next at the further in the past 20 cM clusters. The progression for the numbers of clusters has gone 2, 3, 6, 10, and now 18.

This is the overall shape of the 18 clusters

My mom’s close relatives have split into two clusters. The previous Cluster 10 of unknown origin is getting bigger.

Putting Access to Work Again on the 25 cM Clusters

I imported Columns A-L to Access and added it to my ongoing query:

When I view this query, I get this:

 

I’ll sort by new clusters to see which ones are new:

Next, I’ll map the non-highlighted new clusters. Here is what I get with my blind comparison:

Clusters 7 and 8 are on my mom’s maternal and paternal side. I suspect that is a result of her close relatives matching both sides. I’ll search Access for Clusters 7 and 8 and add names:

Here I see Cluster 5 going to Cluster 8 only with two close relatives, so I’ll remove that from my analysis.

However, we are still left with two Clusters 7. One is on my mother’s maternal side and one on her paternal side. That means that Cluster 7 is a compound cluster due to close relatives being there and matching both sides:

That means my mom actually has at least 19 Clusters at this level:

Ancestry uses 20 cM for a fourth cousin cutoff. The fourth cousin level represents 32 ancestors – in theory.

Next, I just need to go down the Clusters and fill in the blanks:

Clusters 1 and 2 – Sheffield Area

One person in Cluster 7a matches all four people in Cluster 1. Cluster 2 goes back to a known Nicholson ancestor born in 1765. That would bring Nicholson down to 1798 on my mother’s line in the next generation. Due to the fact that we know that ancestors, it is possible that Cluster 1 could be on Nicholson’s wife’s Clayton line:

 Cluster 3 Affinity to Cluster 7b

Cluster 3 also has an affinity to Clusters 4 and 14. That brings up an error in my Chart:

At 35 cM, I had both Clusters 3 and 5 mapping to Cluster 4 at 30 cM. A review of my Access query shows one to be wrong:

Cluster 3 only mapped to Clusters 7 and 8. Here is the corrected version:

This is bound to be a little messed up because my mother’s father had Gangnus and Schwechheimer on his paternal and maternal sides:

 Cluster 5

Fortunately, I have already done some work with Robert in this Cluster:

Here is a confusing tree. The confusing part is that the common ancestor is with Gangnus. Gangnus is also the wife of my mother’s Rathfelder grandfather. That means that this Gangnus goes in on my mother’s non-Gangnus side!

Actually, it appears that Robert is equally related on both sides:

In fact, as Otis is not in Robert’s shared group, I need to put Robert back on the Gangnus side. Good thing I’m flexible. Patrick doesn’t figure in as his results are on MyHeritage.

I needed someone on the Gangnus side that I could identify.

Summary of the 25 cM Clusters

Here I dumped more new clusters into the Unknown bucket. I don’t have much under Lentz, so some may belong there.

The Final Run of 20 cM for 36 Clusters

I run this at 6 cM which is the minimum, but the minimum shared matching at AncestryDNA is set at 20 cM. Some of the extra matches between 6 and 20 cM could give hints from the Correlated Cluster Column.

Probably the easiest part of the comparison is using Access. Here is what I can fit out of the 83 rows of results:

Here is what the mapping looks like except for Clusters 7a and 7b:

Both Clusters 10 and 5 mapped to Cluster 24. That probably has to do with the interweaving of Schwechheimer and Gangnus in my mom’s Colony of HIrschenhof ancestry. In order to map Clusters 7a and 7b, I bring in the 30 cM clusters to see which 7 I am looking at:

Here, Cluster 2 maps to 7b and Cluster 5 to 7a. This still gives some confusing results:

However, when I filter out my Mom’s close relatives of over 900 cM, I get this:

Here is how that looks in my summary chart:

I couldn’t decide whether to put Cluster 12 in under previous Cluster 7b, so I put it in parentheses. It looks like I mapped 19 clusters not counting those mapped more than once. That should leave about 17 more to map – or drop into the unknown bin.

Mapping the New 20 cM Clusters

Here are some new clusters:

All I have to do is to look at each of these clusters. My best hope is if they match another cluster or have a common ancestor or if I have some notes on them in Ancestry. Occasionally, looking at a tree or building out a tree will help, but I rarely have luck that way. One thing I find difficult is that my mom had German ancestry on both sides. One side came to the US before the American Revolution. Another side went to a German Colony in Latvia and then came to the US in the 1900’s. However, both sides were originally in Germany.

Clusters 28 and 29

Someone in Cluster 29 had a Nicholson ancestor, but it may be coincidence:

Sarah was from Bolton in the above tree. My mom’s Nicholson’s were from Sheffield, but perhaps not always from there:

The Large Cluster 30

It looks like one of mom’s unknown ancestors had a lot of descendants.

And the Answer Is…

It seems like I’ve increased my knowledge of the unknown (poor pun intended). I still have a shortage on the Lentz side. I’m not sure if there were just not many offspring or what happened. I have at least one early common ancestor at Ancestry, but that match is not in a cluster. Another question would be to identify Cluster 10 at 30 cM. I feel like I have a better idea of the weaving of DNA and families between Gangnus and Schwechheimer in my mother’s ancestry.

Summary and Conclusions

  • The combination of the Shared Clustering program and MS Access help to make a fairly quick analysis of AncestryDNA shared matches
  • My mom’s genealogy is a bit tough. I know she has some more Latvian matches out there but tracing their trees back is difficult in the period when Latvia’s records were in Russian.
  • I don’t have an explanation why my mother’s common ancestors of Lentz and Baker in Philadelphia were not part of clusters.

 

 

 

 

Walking My Clusters Backward and Forward Using MS Access

In my previous Blog, I came up with a way to show my Clusters and how they changed (or didn’t change) between Shared Cluster runs at different DNA match levels. The Shared Cluster Program is from Jonathan Brecher and the encouragement to walk my cluster back was from Jim Bartlett. As a result of my previous Blog, I thought that it might be easier to walk my clusters forward instead of back. Usually in genealogy work proceeds from the recent to the more distant path and from the known to the unknown. However, after looking at the clusters, it seems that in some ways the older clusters are more specific.

Using MS Access to Walk My Clusters Forward

I used to have some knowledge of MS Access. I wonder if I can resurrect that. I want to take my 6 cM run from my previous Blog and compare it to my 25 cM run. I hope to map 50 clusters down to 27. So I am reducing the clusters by about two to one.

I’ll start with  a new Access database:

This database had a blank table in it for me to add data to. I didn’t want that, so I got rid of it. I’ll go to External Data and import my 6 cM Shared Cluster Run. I feel like I should close out my open copy first.

I chose New Data Source and found my file. When I sorted by Date modified, my file rose to the top.

This leads me to an import wizard:

I probably won’t import all the information. I clicked the box saying I wanted my first row to be the Column Headings.

Actually, I see a better way to do this. I went back to my original file and copied columns A-L:

I put these into a new file, saved it and imported that into Access. I don’t need any of the 2500 or so columns after L. This brought me to the import wizard again. I pressed next:

Access want to add a primary key or to choose a primary key. The test ID is an ID, so I’ll use that. Otherwise, Access will assign the numbers of 1 to about 2500 to identify my new database.

Next, I give my table a name:

This now shows up in my Access Database:

Next, I do the same for my 25 cM run as I want to compare the 6 cM run to the 25 cM run.

Querying Access

The next step is to use these two tables to see how the 6 cM Clusters look like at the 25 cM level.

I’ll choose Create > Query Design:

I’ll choose these two tables. That will put them onto the blue area, then I’ll connect them by the key ID:

I wasn’t sure what to choose from the tables above to put into the query below. I put in the name. This has to be the same in each table because the Test ID in each table corresponds to the same name. Most important is to map the 6 cM Cluster Number to the 25 cM Cluster Number. I have those columns plus the 6 cM Correlated Cluster Number, the 6 cM Common Ancestors and 6 cM notes. The notes should be the same for each table. I didn’t add the 25 cM Correlated Cluster Numbers. I can add those later if I find I need them.

Next, I choose view to get the results of the query:

I get 378 results. This makes sense as there were 378 results in the 25 cM Shared Cluster Table. For some reason, Access ordered the results by the number of the 25 cM Cluster Number. This isn’t so bad.

Easy Results

Next, I’ll move the 25 cM Column in closer so I can compare the two sets of cluster numbers:

Let’s look at the 25 cM Clusters 1-3. Walking back, Cluster 1 went to mostly to 23, but one went to 24. Cluster 2 went to 24 twice and 32 once. Cluster 3

only went to Cluster 16. My guess is that the mixup between Clusters 1 and 2 have to do with the fact that these Protestant Irish families intermarried.

A Flaw in My Logic?

I’m just thinking that I need to do this exercise at least one step further back as I haven’t yet finished filling in my 25 cM Clusters. I’ll see what I can do with just the information I have sorted out from Access so far.

Without any sorting of my query, it appears that Cluster 40 comes out of nowhere. However, when I sort by the 6 cM clusters:

Here is a situation where Cluster 40 must be a compound cluster. Here is what I see:

 

The smaller square at the top left may be Lentz. The single dark red square in the bottom right is Nigel. I mentioned him in my last Blog. He represents an old  Nicholson DNA match.

Nigel would not match the Lentz side which appears to be the top left side of the Cluster. There appears to be other sub-clusters within the Nicholson Cluster which may represent Ellis or Clayton highlighted above.

Because, I’m in the area of my 25 cM Clusters that I didn’t finish last time, I want to do a new Access Query

Comparing My 30 cM Clusters to My 25 cM Clusters in Access

Here is what my new query looks like:

I’ve connected the two tables by the Test ID. Then I compared the 25 cM Cluster Number to the 30 cM Cluster Number. Plus I added some more information that I though to be helpful. Actually I had the Name column twice which was not needed.

This is my Nicholson section. This shows that the 30 cM Cluster 14 mapped to two clusters at 25 cM. I’m glad I did this, because Cluster 25 splits between Lentz and Rathfelder due to my mother being in that Cluster:

This brings up another issue. At 20 cM, my Rathfelder 2nd cousin match aligned with my maternal 1st cousin and her two daughters. This caused them to form a single Cluster that mapped from a previous two Clusters (25b and 11). It’s not a big deal, but I had to just enter 38 twice to account for it. To be consistent, I’ll call them 38a and 38b:

 

Here the green square represents 38a with my first and second Rathfelder cousins:

The matches to the lower right of the green box would be my more distant relatives with ancestry in Hirschenhof, Latvia.

Finding Cluster 22 at 25 cM

When I compare my 25 cM Cluster to my 30 cM clusters:

Cluster 22 at 25 cM has no precedent at the 30 cM level. That has to do with the match level of Cluster 22. Here is a comparison with it’s corresponding 6 cM Cluster:

All these matches to me were under 30 cM. So basically, Access makes it so you don’t have to keep switching back and forth between the different results.

Solving the Puzzle: Filling in the 20 cM Clusters

The 20 cM and the 6 cM Clusters are the same. The Shared Cluster can look at how the matches between 6 and 20 cM are associated with Clusters but Ancestry doesn’t make shared clusters at less than 20 cM.

I have some filled in already, but need to get up to 50 clusters:

The first Cluster 19 mapping is an issue:

25 cM Cluster 19 maps to Clusters 6, 7, and 15 at the lower cutoff. Further, I can see at least three clusters within the new Cluster 7:

The two green squares represent points of interest for me. They appear to represent my Hartley English genealogy.

Backing Up a Step: 30 to 35 cM Clusters Compared with Access

Another way to use access is by using an unequal join:

The unequal join is represented by the left to right arrow above. That says, show me all the cases where there is a value in the 30 cM cluster table that is equal to a value in the 35 cM cluster table. And it adds in all the remaining 30 cM clusters that aren’t included in the 35 Cluster Table. I think that that is what I want. I could have had the arrow go the other way, but would have gotten different results.

Just for fun, I’ll do it both ways. This is the way from above:

This shows that Cluster 2 at the 30 cM level had no corresponding cluster(s) at that 35 cM level. Cluster 4 only had one corresponding Cluster. And in that corresponding cluster, Cluster 4 had a correlated Cluster 7.

Here are the results with the arrow going the other way. Think of the previous results as walking the clusters back and this new one as walking the clusters forward:

Here Cluster 2 doesn’t even show up at the 30 cM level. They both give about the same information, but the walking forward comparison should provide more detailed information.

Cluster 7 at 35 cM

I’d like to take another look at this as I had ignored this Cluster previously. Based on the above query, it turns out Cluster 7 is quite important. This is Cluster 7 at 35 cM:

The first two people I have as coming from Nantucket (my paternal grandfather’s side). The second two I had guessed as being from Ireland (my paternal grandmother’s side). I don’t think that they belong in the same Cluster, so I’ll tree this as two clusters.

Putting It All Together with Access

Here is a more complicated Access Query:

 

Above, I’m comparing the 6 cM table to the 25, 30 and 35 tables. I have the link between the 6 cM Table and the 25 cM Table a right handed link, so I’ll see all the 6 cM (or 20 cM) Clusters. I then put the 35 cM Clusters first so they will be in the order of my Summary Chart:

At 35 cM I have 10 Clusters. Cluster 1 maps to Cluster 14 at 30 cM. 14 Maps to Cluster 26 at 25 cM. Cluster 26 maps to Clusters 40 and 42 at 6 cM. However, note that other clusters are mapping to Cluster 40. That is because we have Lentz and Nicholson in Cluster 40 as well as those who only descend from  Nicholson, if I understand it correctly.

Cluster 2 at 35 cM includes my mother. Her clusters go from 2 to 14 to 25 to 21. The correlation is one to one until we get down to the 20 cM level. At that point the cluster splits into three where Cluster 40 is a child of Cluster 1. That makes me think that Cluster 40 will be a compound Cluster.

I see at least three clusters for Cluster 40 at the 20 cM cutoff:

Another Query

This one is more like the manual comparison that I did previously:

This query says take everything in the 6 cM Table plus those things that match inthe 25 cM. Then do that for each Table. That query appears to give me everything as it includes 2,452 rows:

Here is a stripped down version of this query:

Here I only include the Cluster Number columns:

This gives me 135 rows. This also points out that Cluster 6 and 10 at the 35 cM level both map to Cluster 7 at the 30 cM level. This makes sense when you look at Cluster 7:

This is a distinction that I had missed in my original mapping chart:

This corrected chart better reflects what Access is showing me:

Access then shows this:

The part of Cluster 7 that was from 10 goes to 18 and then to Cluster 5. This was not reflected in my previous summary chart:

Here is the correction:

I’ll also add in my Cluster 7 at the 35 cM level. I didn’t add it in previously as it had 2 people with Nantucket shared ancestors and 2 people with suspected Irish shared ancestors.

Mapping Cluster 4 at 30 cM

Here I have another situation like my Cluster 7 above:

This is another 4 person Cluster. And, like Cluster 7, the first two people seem to match on my Hartley side and the second two seem to match on my Frazer or Irish side. This is reflected in my Access query:

The split goes to Cluster 8 (Irish) and 14 (Hartley ancestors).

Mapping Cluster 14 at 30 cM

Here is the work I did previously in my Cluster Summary Chart:

I had split Cluster 14 in three. These are my major maternal lines. Because my mother was in this Cluster, she was related to both these sides. Lentz and Nicholson are well-tested, so I have some good separation there. This confusion is reflected in my Access query:

The Common Ancestor Column above shows three different sets of Common Ancestors. They represent the needed splits for Cluster 14. This is where the Access results come in handy. In Access, I have a 14 Cluster going to Cluster 26 which goes to 27. I had missed that in my previous analysis and only had 27 going to Cluster 40.

My Irish Cluster 15 at 30 cM

Here is what I had:

The Access query shows some additional subtleties:

This shows Cluster 2 at 25 cM going to Cluster 24 at 20 cM. However, that doesn’t mean my other Cluster 2 to 32 is wrong:

Two other people in Cluster 2 probably would have mapped back to Cluster 15 but the DNA match was not high enough to be in Cluster 15. Also note that Cluster 24 and 32 both have Common Ancestors:

The question is, if these three have the same common ancestors, then why are they in different clusters? The answer appears to be that one Cluster (24 or 32) would represent McMaster and the other Frazer due to the two common ancestors.

As a result, I split out these two clusters like this:

McMaster 1829 is Fanny in Cluster 2 above. I now have Clusters 24 and 32 as her parents. Consider it a theory.

The Good Enough Product

I have slimmed down my chart to show between 40 cM and 20 cM. I started with 5 clusters in the 40 cM Column which is enough to describe my four grandparents. In the 20 cM column, I didn’t feel a need to describe each of the 50 clusters. However, I was interested in describing each cluster in the 25 cM column and it’s corresponding cluster at 30 cM and 20 cM. The 25 cM clusters were at a good vantage point where I could check the clusters on either side using Access. The place where I may be more interested in detailed 20 cM clusters would be for my English Hartley side.

Summary and Conclusions

  • Jonathan Brecher’s Shared Cluster Program is good for sorting out your clusters
  • The use of MS Access makes it easier to see the nuances of how the clusters merge or separate between the different lower match thresholds
  • There is a question of my mind concerning the level of accuracy needed in this analysis. It’s good not to be so detailed-oriented that you miss the big picture. The big picture for me is whether the cluster is in the right grandparent group for me.
  • This was my first shot at using Shared Clusters to sort out my Ancestry Clusters. I’d like to try using the Shared Cluster program on other DNA kits that I administer. Perhaps my mother’s results would be the next logical step.

 

 

Walking Back My Clusters: Part 2

Part 1 of Walking Back My Clusters was long and rambling. I learned a few things, looked at a few family trees and reached out to a few DNA matches at AncestryDNA.  While writing my previous Blog, I came up with a better way of presenting the results of walking back my clusters. I realize that this may sound obscure if you are not already into genetic genealogy and clusters, but hopefully the readers understand the basics of DNA and clustering.

The New Cluster Results Format

Here it is:

I have my four grandparents in four colors. The thought is that even if I am lost as to what a cluster represents, I should know under which grandparent the cluster belongs. At the top, I show the cM cutoff for the clusters. I have a small column for the cluster number that the program produces. This is a relative number and changes for each analysis. To the right of the cluster number, I have the name of the closest surname that cluster represents and the date that ancestor was born. If I don’t know this, I may give a geographical hint. As far as which ancestor to use, it is somewhat subjective. On the top row I have Hartley going to Pilling 1802 and Snell 1866. It may have made more sense to use an earlier Hartley instead of Pilling, but I suspected that one of the people in that particular cluster went back to Pilling. Under Lentz 1900, that went to the two parents who were Lentz 1866 and Nicholson 1865. This new representation, so far, keeps everything close together where I can keep track of where the clusters are going.

Cluster 13 on the 30 cM Limit

This is where I left off on the chart above. There are only three in this Cluster. I have a note on one of the match’s that they have a Northern Ireland background. I’m going to peek forward to 25 cM to see if I get any more hints. This adds one more match and tree. This tree in addition to the match with the largest tree has Canadian ancestors. I’ll take a look at the largest tree in Cluster 13:

This particular match had Ontario ancestors. The parents had connections to Owen Sound, Ontario. That sounds familiar from one of my distant Frazer relatives. My hunch is that the connection is not on the McRae side as they are listed as being originally from Scotland and Presbyterian. I’m not aware of Presbyterian ancestry on my Frazer side.

Here is my best guess:

Jane or Jennie in the bottom right of the tree is from Inniskillen. I assume this to be a variant of Enniskillen, where a lot of my DNA match leads take me:

All that to make a guess at Cluster 13.

Cluster 16 on the 30 cM Limit

I’m a bit stuck on this one. I think it is on my maternal grandfather’s side. Here is what I have so far:

I know that at 20 cM, I have 50 Clusters, so I have a way to go.

25 cM Clusters

Here I have 27 clusters, but some may be compound clusters.

Clusters 1 and 2

These split out the previous Cluster 15 which I had assigned to Fanny McMaster born 1829. Let’s take a second look:

Whitney in Cluster 1 matches everyone in Cluster 2. That is because he is a closer relative to me than I am to others in that Cluster:

What is also confusing is that Margaret McMaster had two McMaster parents.  I had the previous Cluster 15 correct on Fanny McMaster. However, it would be easier for me to think of this now as having the old Cluster 15 on Margaret McMaster 1846. Then I could assign Fanny to BV and mt and James McMaster to Whitney. Here is how I’m related to Whitney:

I am Whitney’s third cousin once removed. Here is one case where I changed an earlier analysis based on a later one:

After going through some more clusters, I came up with this:

I mentioned that I Had 27 clusters at 25 cM and 50 clusters at 20 cM, so I gave up doing this for now. I think I have an easier way to go about this which I will explore in my next Blog.

One interesting thing above is that the orange Rathfelder line jumps from 1921 to 1819 in the above cluster summary. My explanation is that there were not many DNA matches for that line at Ancestry. That line represents my mother’s father who was from Latvia. He jumped ship and came to the US in 1916. I have has one Rathfelder 2nd cousin once removed who tested at Ancestry, but one person is not enough to form a cluster at that level.

Going All the Way to 6 cM with Shared Clusters

The creator of the Shared Cluster Program commented on my previous Blog and recommended I take the clusters down to 6 cM. John Brecher tells me I won’t get any more clusters but more matches associated with those clusters. At first I thought that I had to leave the “Lowest centimorgans in shared matches” as 20, but that gave me the same results as my last run using 20 for both values in that row. So now I have both values set to 6 cM:

This kicked up my spreadsheet from 912 rows to 2453 rows. I suspect that this is where the Shared Cluster Program really shines.

Filtering the 6 cM Results

Excel has a filter button. I would like to filter my results on Common Ancestors:

When I choose Filter, an arrow appears in each column’s heading. I click on the arrow under “Common Ancestors” and unclick the ‘Blanks’ option which is at the bottom of the list:

That will give me each row that has a common ancestor:

I couldn’t get all my results in one screen shot, so the top is cut off.  Cluster 7 appears to have many of my 2nd cousins, so it shows other more distant clusters that they are related to. The 13 is highlighted in the Correlated Clusters column because it gives a clue to Cluster 13 with common ancestors Snell and Luther that I didn’t have before for Cluster 13. The same is true for associated Cluster 19 with common ancestors of James McMaster and Fanny McMaster. If I add up all the clusters plus associated clusters that have Common Ancestors, that adds up to about 20. Those will be a good clues to identifying my 50 clusters.

I highlighted Nigel because he is an interesting case. He has a fairly high DNA match with me. He’s my 5th cousin, once removed:

I don’t recall Nigel being in a cluster before due to the distant of his relationship to me. So it is good to see him in Cluster 40 now.

On to the Next Blog

Part of the difficult part of comparing these Clusters is cross checking between say, a 25 cM analysis and a 20 cM analysis. For example, Charlie was in Cluster 35 at 20 cM. What Cluster was he in at 25 cM? I hope to figure out a way to make that a little easier in my next Blog using MS Access. There may be other ways. It makes sense to me also to walk the Clusters Forward instead of back. That is because the older clusters have more people in them. As noted above they also have about 20 identified Common Ancestors.

 

 

Walking My Clusters Back – Jim Bartlett Method

I recently read two interesting articles by Jim Bartlett on the use of Shared Clustering. Jim’s most recent article discussed walking the clusters back. Shared Clustering is a free program developed by Jonathan Brecher.

Shared Clustering

Last Night while the New England Patriots were playing football, I downloaded Jonathan’s program and used that program to download my AncestryDNA matches and Shared Matches.

 

I used the first two radio buttons above. The first button downloads your matches up to the fourth cousin level. That is a match of 20 cM or more. As I recall, this was about 978 matches. I may be off, because I just checked AncestryDNA and I have 908 matches of 4th cousin or closer. The second button gets your matches and Shared Matches down to a level of 6 cM. It took overnight to gets all these downloaded. However, once I have those, I don’t have to connect ot AncestryDNA again – unless I need an update. The download is in the form of a text file and not overly useful in that form. It is sort of a dump of my AncestryDNA match data.

Clustering

Next, I chose the recommended button for clustering under the cluster tab:

This outputs to an Excel spreadsheet file. If I shrink my spreadsheet to the minimum 10%, I can see half of the clusters:

This gets me to about Cluster 18 out of 50 clusters. So, though this is theoretically, my 4th cousins, it must go out further than that. 4th cousins would represent my 3rd great-grandparents. I have 32 great-grandparents and 50 clusters. 18 or more of those clusters must go beyond the level of the 3rd great-grandparents.

Here is the bottom half of most of my clusters down to Cluster 50 in the lower right of the screen:

Walking My Clusters Back

Jim Bartlett recommends walking back your clusters from your 4 grandparents further back a generation at a time. My first Blog on clustering was about a year ago using the Auto Cluster program. Here was my first Auto Cluster:

In this simple analysis, I had 5 clusters. However, as far as I could tell, none of these represented my maternal grandfather:

  1. Paternal grandfather – orange
  2. Paternal grandmother – green, purple and brown
  3. Maternal grandmother – red

My paternal grandfather was a German from Latvia who came to this country in the early 20th Century. So, not many relatives had tested. Not really a problem, but something to be aware of.

Shared Clustering 90 cM or Greater

Next, I tried the Shared Cluster 90 cM or Greater. It looks like this should give me 3rd cousins or greater. Somewhat surprisingly, this only gave me two clusters:

A few notes:

  • The Shared Cluster program does not appear to have an upper limit for matching. Because of that my immediate family is included. They show up as a a horizontal bar in the middle of the image.
  • The first two people are in a cluster of sorts, but Shared Cluster only includes clusters of three or more by default. They fit in on my paternal grandmother’s side.
  • The third person (the first person in Cluster 1) is actually on my maternal grandfather’s side. This was a new person who tested since last year. She is in Cluster 1 because she matches with my mother, my maternal first cousin and her two daughters.
  • Cluster 2 is all my paternal side. The matches go back further than that but the Cluster is holding together due to my close family being included in the Cluster.

Tweaking the Shared Cluster Program

Under advanced options on the Cluster Tab, I don’t see any option for screening out close relatives:

So I’ll try to ratchet down the lowest centimorgans to cluster to try to break open these clusters. I’ll try 50 cM for the lowest:

Above, I picked up one more Cluster. Cluster 1 is now my paternal grandmother’s cluster. This was the one that wasn’t a cluster previously, but I picked up one more person to make it a cluster:

  1. Paternal grandmother
  2. Maternal
  3. Paternal grandfather

The first person in the previous Cluster 1, Donna, is now the last person in the new equivalent Cluster 2. So far, I have not split a cluster but added to a previous non-cluster. This is fun to play with.

I Need to Get to About 8 Clusters Next

Trying 40 cM still resulted in 3 Clusters, so I’ll try 30 cM. I know that the three represent four grandparents as they are, but I only have one tested person for my maternal grandfather’s side tested at Ancestry. I know that at 20 cM, I have 50 clusters, so I need a match number that will get me about eight clusters. I think I see an issue. On the advanced tab, there is a maximum shared match number. When I ran 50 cM, I had a maximum shared match of 90 cM. I need to change that to 50 cM:

This flipped the clusters around:

  1. Paternal grandfather
  2. Maternal
  3. Paternal grandmother – now up to a cluster of 6 people who match me and each other by DNA

I think I’m getting the hang of this.

A 40 cM Cluster Gives Me 6 Clusters

This may be about what I want. Again, I set my shared match limit to 40 cM:

There are two-person clusters where I have the arrows. There is also a one-person cluster at the lower right of the image above. The Clusters are:

  1. Lentz
  2. Nicholson – the first two clusters look like one. I believe that that is because Cluster 1 is Lentz/Nicholson and Cluster 2 is Nicholson without the Lentz.
  3. McMaster/Frazer (Ireland) – These families intermarried more than once in my ancestry
  4. Unidentified, but believed to be Spratt (Ireland)
  5. Most likely Clarke (Ireland)
  6. Hartley – Paternal grandfather, but not further split out

Here are those Clusters on my family tree:

  • I know least about the Clarke line, yet this seems split out to the two parents of Clarke and Spratt
  • Cluster 6 is stuck probably because Hartley and Snell had 13 children and I have a lot of 2nd cousin matches at AncestryDNA
  • Cluster 2 appears to be split between three great-grandparents on my maternal side. I’m not sure why. I have some other Rathfelder cousins, but they tested at MyHeritage and FTDNA.

Some Walk Back Analysis

This shows what happened between matches of 50 to 40 cM when my clusters went from three to six.

  • My mother’s Rathfelder Cluster split into her maternal grandparents of Lentz and Nicholson
  • My paternal grandfather’s Cluster got stuck and was not further divided
  • My paternal grandmother’s Cluster seemed to skip a generation and form two clusters further out.

As my Clarke and Spratt Lines are brick walls, I would like to look at them. I am quite sure of Cluster 5. My common ancestors with two of the people in this Cluster are Thomas Clarke and Jane Spratt. That being the case, I could have put the Cluster 5 up a generation at Ancestor #11.

The four matches in Cluster 4 are all just above 40 cM, so they didn’t appear in the 50 cM analysis.

Here are Clusters 4 and 5. There are a few connections between these two Clusters. I interpreted that to mean that Cluster 4 is the ancestor of Cluster 5. Here is my modified summary:

A 35 cM Threshold Results in 10 Clusters

It’s a free program, so I can play around with it:

10 is still pretty close to 8, so let’s see what we have for Clusters:

  1. Nicholson
  2. Lentz
  3. Frazer
  4. Clarke/Spratt
  5. Snell or Colonial MA?
  6. Snell/Bradford – this was a larger cluster in my previous run
  7. Parker Nantucket?
  8. McMaster Ireland?
  9. Hartley English?
  10. Snell or Colonial MA?

I’m not sure that this is any clearer than the previous Cluster of 6. Some of my matches that were previously in clusters fell out in this analysis.

35 cM Cluster Analysis

For the 10 35 cM Clusters, it would be nice if I were able to trace where they came from. I had a question on Cluster 5. However, it is still as good as it can be right now. There are only three in this cluster. They have no usable trees and they are shown matching Hartley’s in my 2nd cousin large Cluster.

On Cluster #7, I don’t agree with the way the program drew up the Cluster, so I would rather ignore that Cluster. Half of the Cluster seems to match Cluster 6 (Massachusetts Colonial) and half seems to match Cluster 8 (Irish ancestors). Cluster 9 is difficult as there are only three in the Cluster. One tree has English ancestors, but not all are English.

A 30 cM Match LImit Gives Me 16 Clusters

So by accident, I have come upon 16 clusters. In a perfect World, this would represent my 16 2nd great-grandparents. I have already shown that theoretical perfect numbers are not showing up in my case, so I don’t see a lot of purpose in getting a perfect 4, 8 and 16 clusters.

Here I have pointed out my maternal side. They only match with the first two Clusters. That means that the following 14 Clusters appear to be paternal.  The largest Cluster is #6. That is the one with a lot of my second cousins.

Here are my guesses for these 16 Clusters:

Had this previously as possibly Hartley English due to someone with a Heaton in their ancestry. Heaton is a name that was in the area where my Hartley ancestors came from. I had that one of my Hartley ancestors possibly married a Heaton. However, I had this wife of dying before they had children. Based on others in the group I would go back to saying that this is probably a Colonial Massachusetts Cluster

Cluster 2

I would interesting in knowing about Cluster 2. One of the matches in this Cluster was part of a New Ancestor Discovery at Ancestry that I never figured out. One match has a tree, so I could try building that out. My guess is that this Cluster is along the lines of my Irish ancestors.

I don’t have a lot of hope in figuring out this line, but I’ll give it a shot:

John McLean goes back to Ireland, so that is where I was trying to get. Going out further, I get this:

The trees are going back to Scotland on many lines. I tend to put some of these lines on the Clarke/Spratt as I don’t know much about those lines except that they were from Ireland.

Back to the guesses:

  1. Snell and before Massachusetts Colonial
  2. Clarke or Spratt Ireland
  3. English Hartley ancestors?
  4. One match correlates to Cluster 7 (Hartley 2nd cousins) but one match maps to Frazer by Visual Phasing, so say Frazer side
  5. Possibly Spratt
  6. Hartley side by shared matches
  7. Snell/Bradford based on one match with common ancestor
  8. Isaac Parker/Prudence Hatch (1778)
  9. Correlated with Cluster 11;

A Cluster 9 Tree

One of the Cluster 9 matches has a tree:

I have come up with many of these names before, but the name of Reed sounds familiar. Here is the detail on Alexander Reed:

Here is Hastings:

Here is the Reid I have:

Apparently William Wynn Fraser marries a Rachel Reid. My guess was that Reid was her married name. However, this family lived in Kenilsworth, Ontario:

I’m not sure if the Reid and Reed families are the same or whether there is any connection with my family. A search for Alexander Reid/Reed shows that there were many by that name living in Ontario.

Cluster 14

I joined the Shared Cluster Facebook Group. It looks like this Cluster is actually more than one Cluster.

Because my Mom, her niece and two grand-nieces are in this Cluster, it formed a super Cluster. I’ll call them 14a, 14b and 14c.

  • 14a Nicholson
  • 14b Rathfelder
  • 14c Lentz

Rather than look at each Cluster in detail, here is a summary:

I skipped a few Clusters. This exercise reinforces my thought that getting the exact 16 clusters for 16 2nd great-grandparents is not important. I had 16 Clusters but only 2 were maternal. That means that 14 were paternal and far in excess of the 8 paternal great-grandparents expected. Cluster 16 was maternal and most likely my maternal grandfather’s side. I haven’t placed this group yet. They seem to go back to a German Colony in Russia which was a long way from my grandfather’s family’s German Colony in Latvia. There was some connection to the two colonies, but I haven’t made the connection genealogically with my family.

25 cM Cutoff – 27 Clusters

This is 5 cM above the cutoff that Ancestry uses for 4th cousin. This is equivalent to a 4th great-grandparent common ancestor. I expect that a 25 cM cutoff should be equivalent to 4th cousin.

Here is the general look of the clusters:

I am in a vertical and horizontal group that splits the chart about equally in two. My mother and her close relatives form a lop-sided plus sign in the lower right side of the chart.

Clusters 1 and 2

These two clusters hold a lot of potential. These were previously Cluster 15 and I had assigned them to my ancestor Fanny McMaster. Now that Cluster 15 has broken into two, it appears that each cluster could represent one of Fanny’s Parents who were William McMaster and Margaret Frazer. I have recently learned a lot about this family through researching their move to Ontario from Ireland. Two of the people in the new Cluster 2 share my common ancestors William McMaster and Margaret Frazer. If I could identify Cluster 1, it should help to identify Cluster 2. I know that on of the matches in Cluster 1 has an unidentified Jane Frazer or Frazier in her tree. That means that Cluster 1 could be Frazer and Cluster 2 McMaster. This is important as I have at least three Frazers in my ancestry and at least two McMasters.

To accommodate this, I have lengthened my ancestor chart down to the 4th great-grandparent level:

This would be a theory to follow up on based on the fact that a match in Cluster 1 has a Frazer ancestor but no known McMaster ancestry.

Cluster 3

There are only three people in Cluster 3. Based on correspondence from someone with a private tree, our common ancestors are Simon Hathaway born 1711 and Hannah Clifton. That is two generations back from the extension I made on my cluster summary chart, so I’ll just add Cluster three to my Hathaway 4th great-grandparent.

Cluster 4

Cluster 4 brings into question my previous Parker Cluster. I had a match with at least one person in this cluster with a common ancestor going back our shared Parker ancestor in Nantucket. However, now there are two others in this clusters. One has an ancestor in County Roscommon where I had ancestors. Another person is from Australia. Now my match with the Parker ancestor also has an Irish ancestor. Perhaps this is the real match I should be looking at?

Cluster 5 – Spratt

In my 30 cM analysis Cluster 5 was also Spratt coincidentally. However, this new Cluster 5 goes back another generation and has split off the Clarke from the Spratt:

The new cluster 5 at the 25 cM threshold has moved from my 2nd great-grandparent level (Jane Spratt born  to my 3rd great-grandparent level. This is important as Spratt is my most severe brick wall.

Triangulating Spratt Trees in Cluster 5

My thought is that if I can find common ancestors in some of the trees represented by Cluster 5, I may find my common ancestors. First in order to not duplicate effort, I checked to see if I had an existing Spratt Tree. I did:

Unfortunately, I don’t remember who Ed, Deb and Helena are. I do note with interest a George Spratt who married a Jane McGuire. Could they be the parents of my Jane Spratt thought to be born about 1830? William and Christopher are also potential candidates.

My first match in Cluster 5 is Craig. I’ll add him to the tree:

Craig matches me with a healthy 33.9 cM of DNA. One question would be whether Christopher was married previous to marrying Margaret McKay.

Next in Cluster 5 is Deb. She is already on my chart and matches me with 34.1 cM of DNA. The last person in my Cluster 5 with a tree is Helena who again is already on my tree. She matches me at 25.2 cM.

This leads me to two theories:

  • I descend from Christopher Spratt and a first wife, or:
  • I descend from William Spratt born 1775 and then from one of his sons

In now see Ed and match him by 44.8 cM.

Here is another Cluster 5 Tree:

I’ll call this person Shar. She must be on the Margery Spratt Line:

The tree is now shaping up with DNA matches. Shar’s tree ended with Jane, but I assumed it was the same Jane Hayes that was in Helena’s tree. The good news is that I have the start of a good Spratt DNA project. The bad news is, I’m not much closer to knowing where Jane came from. It’s interesting how clearly this Cluster points to this genealogy, yet I don’t have the specifics. I’m slowly getting closer to the answer.

Clusters 6-9 – Irish, But Which Families?

I’ll start with Cluster 9 as Gladys is in that Cluster. I manage her DNA:

From what I can tell, James at the top married his cousin Violet Frazer. I could safely assign this Cluster to George W Frazer as Gladys has no known McMaster ancestry. I would like to go back at least another generation, but at this time, I can’t match up the genealogy of my other matches in this Cluster.

I don’t have a good guess for the other clusters other than possibly on the Clarke side.

Cluster 11 – Schwechheimer

Through hard work and diligence, I came up with a common ancestor for one of my three matches in Cluster 11:

However, this gets confusing. Rosine Schwechheim, my ancestor married a Gangnus. Also Rosine’s mother was a Gangnus. Technically, the common ancestor would be further out, but it is safe to say that the line on my side went through Rosine Schwechheimer.

Cluster 13 – Clarke

I know that I have a Clarke/Spratt common ancestor with two matches in this Cluster. I see another match with a person in this cluster but Patricia has a private tree. She has uploaded to Gedmatch:

Cluster 14 – Snell?

There are only three in this Cluster. One match has a tree that goes to Hannah Snell. She is probably the granddaughter of my ancestor Samuel Snell born 1708. I’ll stick this Cluster with a later Snell ancestor because I don’t want to extend my list too far:

This Anthony is Samuel’s grandson, so technically, I should have gone back another generation.

Cluster 15 Hartley English Side

This is a side I am interested in if it is Hartley English. There are three in the Cluster. I have looked at one tree with no luck. Perhaps looking at a second tree will help. The matchup seemed like it should be on Mark’s maternal side:

Here is the tree from the other person in Cluster 15:

Cluster 16 has only three also. The one person in Cluster 15 without a tree had a connection to Cluster 16.

Clusters 17 and 18

Cluster 17 is picking up in size which may mean my Snell side which has the Massachusetts background. I can’t find many good trees in this Cluster. Cluster 18 is large. Despite the size, I couldn’t find common ancestors and Ancestry didn’t suggest any.

Cluster 19

This is the Cluster I am in as well as my siblings, close relatives and second cousins. Two matches in the group have the common ancestors Snell and Bradford. One match has Greenwood Hartley and Ann Emmet. That means that this Cluster should be two Clusters.

These show in the same Cluster due to all my close relatives in this Cluster. I would split Cluster 19 like this:

The grey horizontally highlighted row is the Greenwood Hartley match. This is an important distinction for me as one side represents my English Hartley side and the other side represents my Colonial Massachusetts Snell side.

Clusters 20-27

  • 20 – probably MA Colonial
  • 21 – probably Irish
  • 22 – probably maternal grandfather
  • 23 – maternal grandfather. Some match my maternal cousin but not my mother, so that seems odd.
  • 24 – more maternal grandfather
  • 25 – The is a compound cluster. 25a is Lentz. 25b is Rathfelder. This was previously 14a, b, and c so the Nicholson cluster broke off this below
  • 26 – Nicholson
  • 27 – probably Irish

Summary of the 25 cM Clusters

Some splitting out of known clusters are interesting as they suggest descent from a specific older ancestor. This was the case with my ancestor Fanny McMaster where I was able to split out matches between her parents William McMaster and Margaret Frazer. Where I didn’t know the previous cluster, when these were split out it just split out to other clusters that I didn’t know.

The Parker Cluster was confusing. I had a common ancestor for two of the matches, but two other matches seemed to indicate that they didn’t have the same common matches. This could be the case where they match each other on a different line.

When I put the clusters into my summary chart, I am putting them in vertically. However, it is important to check vertically also to make sure the clusters are being picked up. I also looked into some genealogy. I filled out a share DNA Spratt tree. I don’t know where I fit in this tree, but I am all the more certain that I do fit into this particular tree, so that narrows down where I should be looking for genealogical clues.

It seems I need a better way of presenting the results of the clusters. Right now the results are very spread out do to the increasing numbers of ancestors. It would be possible to collapse these results to include only the ancestors with clusters, but that would omit all the ancestors that I don’t have clusters for.

20 cM – 50 Clusters

At the risk of making this a marathon Blog, I’ll look at my 50 Clusters down to 20 cM. This is the matching limit for AncestryDNA. Apparently this program can take the level lower, but the shared matching limit will still be at 20 cM. I expect some more of the same of what I found out above.

I see a problem already with Cluster 1. All the levels are below 25 cM. That makes it difficult to place this Cluster. One person in the Cluster has a tree of 5:

It may be possible to build this out, but it would be a low priority for me to do this right now. I don’t see this person on my mother’s match list, so I suspect this is a paternal match.

Cluster 2 has only four in it. Two are between 25 and 30 cM, but they did not form a Cluster under my 25 cM analysis.

Cluster 3 matches are all under 25 cM, but match my mother.

Clusters 6 and 7

The program split 6 and 7 strangely. Two of my sisters are in #6 and one in #7. My son is in Cluster 6 and my daughter in Cluster 7. What is more important is the splitting of Cluster 7:

This splitting is important to me as I am trying to find English Hartley ancestors who don’t have Snell ancestry. The larger part of Cluster 7 has Snell ancestry (outlined in green).

More Detail on Cluster 7b

There are 8 people in Cluster 7b. It also looks like 7b forms two clusters. My guess is that this represents Hartley and Emmet:

The first match in the Cluster is Kristen. I think we have been in touch, but I can’t find any Ancestry messages. Here is the connection:

The second on the list is Mark. I’ve been building out the part of his tree where I think there is a possibility we might match up. That is his maternal grandfather’s side:

Lucy Priestly died in Hull, but was born in Halifax which is a bit closer to where my ancestors lived.

Lucy’s mother Sarah Ann Wilson was the one born in the Halifax area. Here is Sarah Ann’s baptismal record from 1825:

My guess is that her mother could have been Susannah? Her father was a bookbinder. I didn’t make a genealogical connection between myself and Mark yet, but I will likely come back to his tree.

The next match is Arlene. She doesn’t have a tree, but I sent her a message.

The next match with Howard appears to be important:

Even though Howard doesn’t have a tree, It appears that he may descend from my Pilling ancestor:

I guess I hadn’t realized that two separate Wilkinson lines descended from Pilling. At any rate, my guess is that Howard descends from one of these two lines. I believe that on the right, next to Richard should be a Paul also. I don’t match Paul but some of my relatives do. As far as I know, the David Watson above isn’t closely related to William Wilkinson.

Another question I have for the above Cluster is whether Bessey should be included in the Cluster. I would guess not, because I have that Bessey’s ancestors are Snell and Bradford. Also Bessey is linked to Clusters 12 and 15.

A further point to consider is that Arlene and Howard appear to be in both sub-clusters above. Assuming that Howard is a Pilling match, that may mean that both sub-clusters are Pilling clusters. That could mean that one sub-cluster is more for Mary Pilling’s mother and the other for Mary’s father. However, that is just a guess. Mary’s parents were Greenwood Pilling and Nancy Shackleton:

Dave, Bruce, Mark and Michael

Dave and Michael have trees. I’ve been working on these trees, but haven’t found the connection yet. However, I see connections in the Greenwood surname. I haven’t found a Greenwood surname in my ancestry, but it may be there. Mary Pilling’s father was Greenwood Pilling. Mary’s son was Greenwood Pilling. Many of these genealogies seem to have West Riding connections but not to bordering Lancashire where my ancestors lived.

Summary and Conclusions

This could be a good place to stop. I want to continue this Blog as I have come up with a better way to present my results.

  • Walking the clusters back is a good way to look at your clusters.
  • This is a way of organizing your cluster, making sure you have contacted the important matches and making sure the clusters are placed in the right area of your genealogy.
  • I started my clusters with a 50 cM limit. From there I went to a 40 cM limit and went down by 5 cM increments until I got to 20 cM.
  • The clusters did a good job at identifying my most recent brick wall, Jane Spratt born about 1830 in Ireland. From there I was able to place Jane in the correct Spratt tree, though I could not tell for sure which branch she was from. This could further direct genealogical research.
  • I tried to connect other genealogies from other clusters with limited success.
  • I came to the realization through this analysis that I have DNA matches with two separate Wilkinson lines descending from my ancestor Mary Pilling.
  • As I walked these clusters back, some split cleanly into two parental clusters, some didn’t. Some unknown clusters split into further unknown cluster as might be expected.

To be continued….

More Sibling Clusters at MyHeritage

So far, I have looked at AutoClusters at MyHeritage (MH) for myself, my mom and two siblings. I have been a bit surprised in how different the clusters look. In addition, Genetic Affairs (GA) has used different parameters and gotten different results. At the end of this Blog, I will have looked at my mother’s results and her six children’s clusters.

My Brother Jon’s Clusters

Jon has 7 clusters. They look a lot like my sister Heidi’s 7 clusters:

Emily In Jon and Heidi’s Clusters

Emily appears in Jon’s Theory of Family Relativity like this:

Here is Emily in Jon’s red Cluster 1:

Note that she also matches Clusters 3 and 7. In fact, Emily matches every person in Cluster 7, including another 2nd cousin once removed who descends from the same common ancestors as shown above (Frazer and McMaster). That raises the question as to why was Emily not in Cluster 7?

Here is Emily in Heidi’s clusters:

Here Emily is on the last row in Cluster 7. She matches many people in what seems to be a red over-match Cluster 1. Emily Matches orange Cluster 21 with people that have McMaster ancestors. Emily also matches Paul who is in yellow Cluster 3. I note the following:

  • Emily matches Heidi by Frazer and McMaster
  • Cluster 2 has people in it that match on the McMaster line but not the Frazer Line.
  • Cluster 3 has Paul, but as he is not in the orange McMaster Cluster 2, that the yellow Cluster 3 may be a Frazer Cluster.

Jon’s Cluster Inputs and Outputs Compared

I gave Heidi and Jon the same highlight color as their results were so similar.

Let’s ID Jon’s Clusters

I have already started to do this thanks to Emily and others. After doing a few of these, I can pretty much look at the people in the clusters and ID them:

For some reason, Jon had a better mix than Heidi. Jon has all four of his grandparents represented, where Heidi only had two grandparents’ DNA represented.

 

I’m not so concerned about Cluster 1. Although it is large in size, in a way it is not as important due to the over-matching. In fact, some of my most important matches are not in clusters at all.

Moving On to My Sister Lori’s Clusters

Lori has a good number of Clusters:

She has what appears to be a Chromosome 20 super-over-match Cluster 1.

Here are some of the AutoCluster input/output numbers for Lori:

Lori’s MH Clusters are similar to Heid’s and Jon’s.

Lori’s Chromosome 20 Super-Cluster

Here is the Chromosome mapping for my family on Chromosome 20:

This shows that Jim and Sharon (who I haven’t looked at yet) don’t have Frazer DNA in the area of the over-matching. Jim doesn’t have a super-cluster and I expect Sharon will not either. However, I also didn’t have an super-cluster. I did have a large Chromosome 20 cluster shown below that seems to be split in two:

Perhaps looking at the different sides of this ‘super-cluster’ will help explain what it is all about. That will be a future project.

Lori’s 11 Clusters Revealed

By looking at Lori’s matches’ names, I can get this far:

After that, I will have to look at cluster matches to see if they match my mother or not. Then I can check Lori’s chromosome mapping to get the right grandparent.

Lori’s Cluster 3 Example

Lori’s Cluster 3 matches have very German-sounding names. That makes me suspicious as I have no German on my paternal side – only on my maternal side. I pick a match with a good-sized largest match of 48.3 cM:

My guess is Rathfelder as that side is all German – though they lived in Latvia.

I was right:

Lori is the most likely of the six siblings to have a good Rathfelder side match in this location of Chromosome 3. Actually, I should have the same match as Lori. So she is most likely after me.

And the Answer Is…

Here is another bit of surprise in that Lori has no clusters with Lentz grandmother DNA. Lori also has more Rathfelder than Frazer clusters which  is unusual.

The Last Sibling, Sharon’s Clusters

First, I’ll look at the input/output for Sharon’s Clusters:

I had mentioned previously the effect that Chromosome 20 had on these matches as that was where the super-clusters were for all but Jim and Sharon. Here, we see that Jim and Sharon should have similar results as predicted above.

ID’s for Sharon’s 22 Clusters

Out of Sharon’s 22 clusters, these are the ones that had match names that I recognized:

Parental Phasing and Chromosome Mapping

For the rest of Sharon’s clusters, I’ll see if the matches are on my mother’s side or not and where the matches show on Sharon’s Chromosome map. I’ll start with Bobbijo who matches Sharon from Cluster 1:

Here is Sharon’s Chromosome 10 Map:

This doesn’t line up perfectly, but it is mostly over Sharon’s Hartley DNA. The match is from position 32 to 61M on Chromosome 10. There are a lot of crossovers in the area between 57 and 61M on Sharon’s Chromosome Map. Bottom line is that Cluster 1 is Hartley.

Sharon’s Cluster 2

Here is a match Sharon has with Anya at Cluster 2 on Chromosome 15:

This appears to be right before a pileup area:

I don’t know if that is significant. That is probably why the area before the match has the hatch marks. Cluster 2 matchAnya is on Sharon’s Frazer side:

Cluster 3

Sharon’s Cluster 3 has matches on different chromosomes. I recognize Patrick as a German cousin. I match Patrick on Chromosomes 6, 12, and 13. Here is Cluster 3:

Sharon’s first match is Ursula. Note that she matches everyone in the Cluster. The other people with yellow squares going right across the Cluster are Silvia and the last match – Patrick. Ursula matches me on Chromosomes 1, 12, and 22. My assumption is that the common matches are on Chromosome 12.

Cluster 7 and Cluster 2 Revisited

Note that Clusters 2 and 7 both match at the beginning of Chromosome 15:

Here is Cluster 7:

Valerie, Sharon’s second match matches everyone else in the Cluster:

  • Sharon matches Valerie on Chromosomes 10 and 15
  • Sharon matches the first person in the Cluster on Chromosomes 10 and 15
  • Sharon’s third match has the same last name as Sharon’s first match – they both match on Chromosomes 10 and 15
  • Sharon’s last match is on Chromosomes 1, 15 and 22

That means the common match must be on Chromosome 15

From what I can tell, Cluster 2 also matches on Chromosome 15. This begs the question as to why they are not all in one group. Is this due to intermarriage? Or is this due to over-matching aka pile-ups?

Sharon’s Cluster 9

Sharon matches Lisa from Cluster 9 mostly on Chromosome 7. That matches up with Sharon’s maternal Lentz side. I haven’t gotten many Lentz matches, so I built out Lisa’s tree. Turns out Lisa has a Lentz ancestor.

However, Conrad is Lisa’s 8th great-grandfather. That is going back far in time. Lisa’s ancestors go from a Linz to a Lintz to a Lentz. Whether this is coincidence or not, I cannot tell. Even Conrad does not link up with my ancestors. You can’t say I didn’t try.

Confusing Clusters 17 and 18

Sharon has two Donna’s and a Justin in Cluster 17. One Donna matches my mom, so would be on the Rathfelder side. The other Donna and Justin don’t match my mother and appear to be on the paternal Hartley side. I have a similar split on Cluster 18.

Sharon’s Cluster 22 and a Lancashire Tree

Cluster 22 had a match from England with no tree and a match from the US with an ancestor from England. As I am interested in my Hartley English roots, I thought I would look at Jill’s Hoyle tree and  build it out a bit.

Jill’s grandfather was John Richard Hoyle. He married Isabella Hargreaves in Accrington:

This shows that Isabella was living in Derby at the time they married.

Here is John Richard Hoyle Sr. in the 1861 Census. He was elderly at the time, but with a young son – also John Hoyle.

Of interest to me is that this family lived at Higher Booths, Goodshaw, Lancashire. I have traced one of my Emmet ancestors to Goodshaw.

Here is Goodshaw in relation to Bacup where many of my Hartley ancestors ended up:

Coincidence? I’ll continue on with the Hoyle tree. Here is the marriage of John Hoyle to Mary Lord:

John Hoyle is a widower. That means he was married before:

I assume that this is the same John Tailor, son of a John Tailor. Now I need to find another marriage for John. Here is another:

However, this marriage is in Bury. Here is another Bury marriage to a John the Tailor:

However, note that this John is son of James, so I will propose a guess that he was the father of the other John the tailor.

Here is Edenfield – not far from Goodshaw:

Shuttleworth is just to the South of Edenfield.

Tracing the Hargreaves Family

We saw above that Isabella Hargreaves’ father John was a tailor. This is likely John Hargreaves in 1851, before Isabella was born:

John and his wife were said to be born in Ropendale – maybe Rossendale makes more sense. The children who are just initials were born in Rochdale.

The family was living on Oldham Road in Castleton. Castleton is to the SW of Rochdale. My guess is that John Hargreaves and Elizabeth married about 1841 based on the age of the eldest daughter of 9.

This is the suggested wife of John Hargreaves from Ancestry:

This John was a sexton who is someone who takes care of a Church. If this is the right person, it means that he must have changed his occupation. This appears to be Isabella’s death certificate giving her parents’ names.

Fortunately, I was able to find John Hargreaves in the 1841 Census. This shows that he was married to an Elizabeth at that time. They were living at the same place they were living in 1851 – Oldham Road, Castleton:

The census was taken on June 6, 1841, so that narrows the birth of Mary.

This tells me that Mary Ellen was about 4 months old when she was baptized. When I put these records together, it appears that John Hargreaves was married to an Elizabeth. The lived at Castleton and had a daughter Mary Ellen there. Elizabeth died and John became a sexton in Burnley where he married Elizabeth Dobson. The family moved back to Castleton and John regained his Tailor business. He had at least three more children there with Elizabeth Dobson.

I may go back to this tree later.

Sharon’s Summary

  • I had problems in Clusters 17 and 18 due to matches on maternal and paternal sides.
  • I didn’t bother with Cluster 21 as the matches were small.
  • I built out a Lentz Cluster match’s tree and found a Lentz but the first name and places didn’t match up.
  • I built out a Cluster 22 match’s tree from England, and found some places where those ancestors lived that were similar to my ancestors, but didn’t match on the names. I got bogged down with the genealogy and may revisit the tree at some poin.

Summary and Conclusions

I have now looked at all of my siblings’ and my own MH AutoClusters. I have also looked at my mother’s results.

  • I was surprised to find that one of my sister’s autoclusters only cover two of her grandparents’ side DNA
  • I should be able to look at the results for my siblings and update the results for my mother and myself
  • In the past, with AutoClusters from other companies’ DNA results, I have used MS Access to compare the results. I did not do that analysis with the MH Cluster results. That would be a good cross-check.
  • These AutoClusters have given me places to look for common ancestors and birth areas, but so far, I have not found any new discoveries.
  • It was interesting to see the clustering effects of Genetic Affairs using different input parameters on my families’ DNA results.

 

 

 

 

AutoClustering My Daughter’s DNA

In my previous post, I took an initial look at Heather’s DNA. In this Blog, I’d like to look at AutoClustering Heather’s DNA. AutoClustering puts Heather’s AncestryDNA matches into groups or clusters. Then those clusters are grouped together. This makes it easy to see which matches go where.

Heather’s AutoCluster

Based on Heather’s number of 4th cousin matches or closer at Ancestry, I chose a lower limit of 20 cM and an upper limit of 600 cM. 20 cM is the limit AncestryDNA uses for 4th cousin matches.  Currently, Heather has 297 in that category.

Here are Heather’s 41 Clusters:

Some of these Clusters will be on her maternal side and some on Heather’s paternal side. The clusters with gray dots between them mean that these groups of matches match each other.

Heather has 283 matches in these clusters minus 22 that didn’t fit into any cluster.

Let’s Identify Some of Heather’s Clusters: Her Highest Matches

AutoCluster puts Heather’s clusters in the order of the match level. So the highest match in a cluster shows first. I’ll creat a spreadsheet for Heather:

This mimics the way AutoCluster lists its clusters with the highest match in the cluster listed first. I can recognize some of these names right away.

D.J. is a close relation to Heather on her mother’s side. I have not yet identified anyone on Heather’s maternal grandmother Cavanaugh side.

Next, I’ll sort by cluster, to get a skeleton for Heather’s clusters:

This brings me down to Cluster 21 or 22. I only identified one Jarek Cluster, but based on the gray dots between clusters, the Jarek or Polish relatives appear to go down as far as Cluster 14. I should have included Wozniak in those clusters.

The Bigger Picture

This shows that we have some gaps to fill in between clusters 23 and 39. I’m looking to locate some Cavanaugh ancestors. Clusters 23-39 would be one place to find them.

Cluster 32 – Cavanaugh Side?

I will be happy to find someone from Heather’s Cavanaugh grandmother side. Glenn from Cluster 32 has a tree:

I’d like to match Glenn’s tree above to Heather’s tree:

Ancestry puts Glenn and Heather at estimated 4th cousins. That means that if Heather and Glenn are in the same generation, then they will need to go back to Heather’s column starting with Jeremiah Warren and one row past where Glenn has gone.

I tried building out Glenn’s tree, but couldn’t find a connection to Heather’s tree. I think that I was on the right track as another person in the Cluster has a common ancestor with Julius Lafantasie and Emma Chamberland. So, no luck right now with Cluster 32.

Cluster 35

As I go down the clusters, I notice some match me or my siblings, so they are likely Hartley Clusters:

Donna has a 10 person tree in Cluster 35. Let’s see if that tree leads anywhere familiar.

Summary and Conclusions

  • Using Clusters, I was able to identify specific regions for three out of four of Heather’s grandparents
  • I had trouble pinning down Heather’s Cavanaugh grandmother side.
  • Once Ancestry has a chance to analyze Heather’s tree, it may make it’s own suggestions as to her Cavanaugh side.
  • One issue with the AutoClustering is that it requires you to build out a lot of trees to try to find connections. Then once the trees are built out it is very rare that a connection is made.

 

 

 

AutoClustering Aunt Esther’s Newfoundland DNA

In previous Blog, I looked at the autoclustering of my mother-in-law Joan’s DNA. Esther is Joan’s half Aunt. That means that Joan and Esther have a connection on only one of Joan’s grandparents. All of Esther’s four grandparents were from Newfoundland. I am hoping that the AutoClustering process will make sense of Esther’s Newfoundland DNA.

Esther’s AutoCluster

This is the overall chart:

The 54 clusters are difficult to see because Esther has 612 matches. I set Esther’s autoclustering limits between 30 and 600 cM and was a little surprised at how many matches Esther had at that level.

Esther’s Family Tree

There are a few holes in Esther’s family tree:

The Peter Upshall born 1800 above is also a guess.  I’m not as familiar with the Shave and Kirby sides as my wife is not related on that side. The Clusters should identify some of them.

Here is a spreadsheet that I will need to fill in.

My wife is at the top of the list with the largest match in Cluster 1. In a way that is not good because my wife will be related to two of Aunt Esther’s grandparents: Henry Upshall and Catherine Dicks. Perhaps that is why the Cluster 1 is so large. I will try another AutoCluster for Esher between 40 cM and 250 cM. That should be clearer. Also Marie’s niece Tina is the top match for Cluster 6. Tina will also share Upshall and Dicks matches. However, lowering the upper match limit to 250 cM will not solve all the problems. Even though Marie and Tina share both Upshall and Dicks, it is possible that many in the clusters will only have either Upshall or Dicks DNA. Or they will have more Upshall than Dicks or the other way around.

Esther’s Shared Ancestor Hints (SAHs)

At AncestryDNA, Esther has some Shared Ancestor HInts. Here is one:

Pat is a 2nd cousin once removed. Esther and Pat share the common ancestors of Shave and Burton. I was looking for easy answers but got thrown for a loop because Pat is in Cluster 1. She is in Cluster 1 with Marie who is not related on the Shave side. Interesting.

Here is some more of Pat’s paternal side lineage:

This tells me that perhaps Pat is in Cluster 1 because of her Upshall match and not her Shave/Burton match. That could mean that Margaret Upshall is a sister to Esther’s grandfather. If that is the case, then Esther and Pat may be 2nd cousins once removed on the Upshall side also. It’s a possibility.

A Kirby/Emberley SAH

Here Esther and M.B. are shown as 3rd cousins. AncestryDNA thinks they share enough DNA to be 2nd cousins, so something is going on. Not only that, M.B. is also in Cluster 1. Martha is the administrator for M.B. Look at Martha’s tree for M.B.

There is Upshall again. I have been in touch with Martha and we both agree that Peter is a pretty good potential ancestor. He was born to Sarah Upshall who was a single mother in Haselbury Bryan, Dorset, England.  So far, I’m thinking that there is more than meets the eye to these SAHs.

This Just In: Another AutoCluster for Esther

While I am thinking about the Upshalls in other SAHs, I’ll look at another AutoCluster for Esther. Things are still a bit muddy. I changed the lower limit to 40 and the upper limit to 250cM and got almost 300 fewer matches for Esther. However the picture is still muddy:

Esther is down to 33 clusters, but the grey dots between clusters represents crossover in ancestral lines. M.B. who was previously in Cluster 1 is now in Cluster 19. Changing the thresholds changes the delicate balance of the clusters and the relationship between the clusters apparently.

Which AutoCluster Version Should I Use?

It seems like Newfoundland genetic genealogy is already complicated enough. There are intermarriages of lines and missing lines. I have just put in for a third AutoCluster for Esther at the default thresholds of 50-250cM. I am hoping that those thresholds will simplify things.

Take 3 with Esther’s AutoCluster

You can’t say I’m not trying.

This looks more manageable with 20 clusters and 220 matches. I’m ready to rock this AutoCluster.

Cluster 1: Dicks?

My notes for many in this Cluster indicate the Dicks family. D.M. in Cluster 1 has a good match and Dicks on her maternal side:

I was able to build out D.M like this:

However, I have been proposing that Elizabeth Collier could be Elizabeth Crann. That is something to keep in mind. It looks like D.M. matches Esther on Kirby, Dicks, Dicks wife Elizabeth, Shave and Burton. That is quite a bit.

Cluster 14 – Kirby/Emberley

My notes for this Cluster say Kirby and Emberley. AutoCluster sorts the clusters by size of match and this cluster has the second largest match.

Cluster 8 – Upshall?

I’d like to make a guess that Cluster 8 could be an Upshall Cluster. There are a lot of high matches but not a lot of answers there:

I’ll make it a working theory. The first person on the list is Jane. I couldn’t see any connection to Esther in her tree. The second person James said that his grandmother was Laura Upshall.

Laura Upshall’s Tree

I found a Laura Upshall from England and a Laura from Newfoundland born in Harbour Buffet. So I chose the Laura from Harbour Buffet and built out a fast tree at Ancestry:

Assuming this tree is right, Esther and James are 2nd cousins twice removed with the common ancestors of Peter Upshall and Margaret Burton. While I’m at it, I’ll add Margaret Burton to Esther’s tree. The good thing about Laura’s tree is that I don’t see any Dicks in it. This could rule out Cluster 8 from being a Dicks Cluster. Here is what I have so far:

I still don’t see any Shave Clusters.

Another Cluster 8 Tree

Next down on the list of Esther’s matches on Cluster 8 is someone I call Hat. Here is what I think is his tree:

I think the person taking the test is the son of Ella Grace Upshall, but I’m not sure. Again, I don’t see Dicks in there which is good. One other thing is that these trees also have Shave. So that is a possibility.

Cluster 8: Shave Or Upshall?

One way to tell might be by comparing Esther to her half Niece Joan, my mother-in-law. Joan is related on Esther’s Upshall side but not her Shave side. The Jane that I couldn’t connect to Esther from Cluster 8 is in Joan’s Cluster 41. I had that listed as an Upshall Cluster for Joan. James is also in Joan’s Cluster 41. Finally Hat is in Joan’s Cluster 41, so that is three for three.

A Tree for Eileen from Esther’s Cluster 8

Christina has a short tree, but her mother’s Reid name looks like a possible Newfoundland name. I assume that Christina’s mother Eileen is the one that took the test. I see from the 1940 Census that Eileen’s father was born in Newfoundland, so I guessed right:

Will Flint, Michigan lead back to Upshall?

The answer is no.

I wouldn’t be surprised if Sarah Ann Dicks was born in Harbour Buffet as I couldn’t find records for her birth and Harbour Buffett records are poor. I have that William Reid was born in Harbour Buffett in 1811.

Here is a tree for Lorna in Cluster 8:

I don’t see Upshall here. But Margaret Burton may have married Peter Upshall and she may be the daughter of Charles Burton. She did name what appears to be her second son Charles. It would have been customary to name the wife’s second son after her father. I know, a lot of if’s.

Christina From Cluster 8 and Her Tree

Christina’s tree looks hopeful.

Here is Madge and family in 1935 St. John’s West:

I can’t tell if Hattie is the same as Ethie. Unfortunately, I wasn’t able to get much further than Christina’s tree.

A Possible Upshall Tree

Now that I’ve reduced the possibility of Cluster 8 being Shave, it is more likely an Upshall Cluster. I’ll build a theoretical tree for Upshall with theoretical but possible common ancestors Peter Upshall and Margaret Burton:

 

I put this out there to see if it makes sense genealogically and with the DNA evidence.

Summary at Mid-Point

Here is my spreadsheet so far:

Subject to change.

An Upshall in Cluster 11

Here is Barbara’s paternal side of her tree:

Peter and Alice Upshall married in 1916:

Here is a marriage for Henry Upshall to an Elizabeth Smith:

Henry was said to be living at Little Harbour at the time of the marriage.

Madonna’s Cluster 11 Tree

Madonna shows her maternal grandparents at Ancestry:

I recognized the Collett name and built out Madonna’s tree with some help from other Ancestry Trees:

It’s not my greatest tree as I didn’t build out Susan Collett. I see a record showing a Peter Collett marrying a Susanna Hann in 1905:

That gives me a new line for my horizontal Upshall Tree:

B,A. On Cluster 11

B.A. appears to have an Upshall on his tree. I say appears because there are many trees posted by B.A.’s administrator. I picked the tree that most looked like B.A.’s initials and it had an Upshall in the line:

Solomon Upshall 1921

In 1921 Solomon was living among many Upshalls in Little Harbour:

I wasn’t able to build out past Henry Upshall. I did note one Ancestry Tree had this:

I suppose that is possible.

Cluster 10 and Phyllis’ Tree

Phyllis is missing her paternal side, but her maternal side has some familiar names:

A lot of these names are beginning to sound familiar after a while.

Building out Phyllis’ tree:

Dicks is a common ancestor, but there are other possibilities. With these clusters, I am looking for trends. The clusters are saying to me, in a particular cluster the DNA says that you are more related within this group than outside of this group. So in a sense, the clusters may be clearer than what the genealogy is showing.

Another Cluster 10 Tree: Not All Trees Are Created Equal

This tree is better, in a way, than Phyllis’. Tha maternal side is England and Toronto. That leaves the paternal side:

I built out this tree and found some common ancestors:

This person goes by ‘it’ for short at Ancestry. It is 2nd cousin once removed to Esther. I prefer it’s tree because it is less ambiguous. It’s one Shave/Burton line is the one that is in Harbour Buffett where Esther’s ancestors lived. Where was Shave on Phyllis’ tree? Shave may have been on her paternal side that Phyllis didn’t show

Richard’s Cluster 10 Tree

I could use another tree to confirm, even though I am pretty sure of Shave/Burton already. Richard has a small, but high-grade tree:

The reason I like his tree is that maternal side and paternal side are shown. Also it narrows down to a name I know instead of expanding out to many ambiguous matches. I sort of cut off Lucy Shave. Sorry, Lucy. Richard’s Tree shows two lines of connections:

However, the closer Shave/Burton connection puts Richard also at 2nd cousin once removed to Esther. Cluster 10 represents Esther’s fourth grandparent Line of Shave:

A Shave/Burton Tree

 

Here is Esther’s Cluster 10 Shave/Burton Tree:

Cluster 4

Cluster 4 is next on the GeneticAffairs Report. Daisy is Esther’s first match with 177 cM. Her tree says that she shares the Dicks ancestral name with Esther.

Daisy has a good tree:

Daisy has Joyce and Dicks at her 2nd great-grandparent level above. Here are two more generations on Daisy’s Tree:

This shows Christopher Dicks and his wife twice. Daisy descends from Rachel and Robert Dicks. I’m sure there is a Crann connection also, but this should be overshadowed by the Dicks connections.

That means that Esther and Daisy are 4th cousins once removed twice on the Dicks Line.

Match #2 on Cluster 4 – Julie

Julie shows her two parents on her Ancestry Tree. My first attempt to build out Julie’s tree was a disaster. I think that Julie attached her DNAresults to her mother’s side. I was able to fix this by going into Julie’s tree and going down one lever from her mother. This worked better and I came up with a Newfoundland Tree for Julie’s paternal side:

None of the names sound familiar, but at least I’m in Newfoundland instead of Ireland. I built out Julie’s tree a bit but didn’t find a connection to Esther.

I was able to build out Julie’s tree a little more:

The tree has William Henry Dicks from England. That means that the match could go back to England or that a descendant of Christopher Dicks moved back to England and then back to Newfoundland.

I’m ready for a new cluster.

Cluster 12 – Bridget and bam

I’ll start with bam because he has Newfoundland ancestors in his tree. Here is my build-out based on some Ancestry suggestions:

 

There are a few interesting things about this tree. First, it is possible  that this Charles Burton could be an Uncle or father of Esther’s ancestor Margaret Burton born 1825. Also The Frances Dicks could be the Frances Dicks I have as daughter of Christopher Dicks. I have this tree, roughly based on DNA testing:

However, I see that the first George in the tree must be wrong. He should be in a later generation. Also there is a discrepancy on the birth date of Frances Dicks. I have her here are born 1811, but 1805 may make sense also.

That still leaves the question as to whether this is a Burton or Dicks Cluster (or something else!). I think I may be able to figure out the answer to that question, but not today.

Cluster 20

This could be the last Cluster for now. The top match with a tree is G,K. Here is a clue from AncestryDNA:

G.K. and Esther both have a Joseph Dicks in their tree. I had added in Joseph on Esther’s maternal line. She had a Jane Dicks there that I couldn’t place. The Dicks on Esther’s paternal side were easier to place.

My Theory on Joseph Dicks

I think that the Joseph Dicks in G.K’s tree and the one in Esther’s tree could be the same person. In G.K.’s tree Joseph is born in 1818 in Oderin and has son Michael in 1869 with Mary Murphy. She could have been a second wife. In Esther’s tree, Joseph is born in 1810 in Famish Gut and has Jane Ann Dicks with Mary Griffith in 1841. If I’m right, that would make Esther and G.K. half third cousins. I had that Esther’s Joseph descended from Christopher Dicks. However, the tree that I made for G.K. has Joseph’s parents as John Dicks and Mary Corbett. That may make more sense.

One point is that the tree I make for G.K. has Joseph Bulley Dicks born in 1818:

However, G.K. has Joseph born in 1849.

Jerome’s Cluster 20 Joseph Dicks Tree

I notice that Jerome follows G.K with a later birth date for Joseph Dicks:

It appears that Jerome is 2nd cousin to G.K and they both descend from different daughters of Michael Dicks.

Beth in Cluster 20

Beth in Cluster 20 also has a Joseph Dicks tree but with the earlier Joseph Dicks birth date:

Esther’s Cluster Summary

This is a start:

I’m sure that the more I work on this, the more it will come together:

In general the matches between clusters seem fewer as you go down and to the right. That would mean that if I am right with Joseph Dicks, then that is one of the more unique lines. Cluster 20 represents a Roman Catholic Line also, and I believe that most or all of the other lines are Church of England. I see that I already had a 14 and 15 Cluster label, so my newer label for Cluster 15 should refer to the lower right of the green box.

Summary and Conclusions

  • Looking at Esther’s 20 Cluster Report was helpful. It was also a lot of work to build out and analyze trees.
  • I forgot to mention the Crann connection in New Zealand. This is the small Cluster 2. I believe that the younger Christopher Dicks married Elizabeth Crann, so it may be fitting that the small Crann Cluster was next to the large Dicks Cluster 1.
  • The clusters help to focus on where to look when comparing trees. The clusters at least suggest that the ancestors should be along the same line as each other.
  • Clusters are a good place to try out theories on ancestors. The theory I had on Joseph Dicks seemed to play out well. From my previous Dicks DNA project, I had tried to connect Esther’s Joseph Dicks line and was unsuccessful. This would explain the fact that the Joseph Line appears to be differenrt than the Chirstopher Dicks Lines.
  • I hope to continue looking at Esther’s DNA clusters at some point and comparing them with her half-niece Joan’s. For example, I would not expect that Joan would be matching Esther’s Cluster 20 as that is Esther’s maternal side and Joan matches Esther on Esther’s paternal side.
  • A lot of the progress is from reviewing the matches’ trees, but the AutoClustering helps focus and direct the analsysis of trees.