I found that I knew the names of only 319 of these (31%) Today, three and a half years later, I can name 358 (35%), only 39 more.
Ten generations takes your to your 7th great grandparents. Most of my children’s 7th great grandparents were born in the 1700s (where I know their date of birth). I know the names of 86 of the 512 forebears of this generation. I don’t know very much more than the names of 62.
For the last year I have been transferring my research to WikiTree, a collaborative project intended to produce a ‘singular worldwide family tree’. (The genealogist Kitty Cooper discusses the scheme in a post of 26 April 2019). By contributing my research to WikiTree it will be there as a resource for my cousins to use now and indefinitely into the future, safe, I hope, from accidental and malicious damage.
There are discrepancies between my personal research tree and WikiTree. For one thing, I have names of forebears on my personal tree about whom I know nothing more than their name. These people cannot be added to WikiTree until I have more information about them. When I add a person to Wikitree, I provide source citations: I state how I know the facts being added and how I know about the relationship of the newly-added profile to the existing people on the tree. Adding my family tree slowly to Wikitree is an excellent way to review my family history research.
When looking at the 1,023 individuals of the previous ten generations of our forebears, I have only 258 recorded on WikiTree, 25% of the possible maximum.
Name only – perhaps the forebear is named in a child’s record but no other details are known
Vital statistics – know the dates but little else
Occupations, residence, children, spouses – know several key points of information; know when and where they were born, married, and died, but also where they lived between those key dates and what they did for a living; know who their children were, and if they married multiple times.
Property ownership, military service, religion, criminal activity – filled in more biographical details about their lives; researched in court, notarial, cadastral, church and military records, where applicable; if they owned property, how they acquired it, how they disposed of it; whether they left a last will or if they had a prenuptial agreement; for men, whether they served in the army; what religion they were and which church they attended; if they were criminals, what they did and what their sentence was.
Genealogical Proof Standard – Yvette categorises this as ancestors for whom she has finished reasonably exhaustive research and has proven who their parents are; finished researching them in a wide range of records, such as newspapers, town records, and tax records; documented them according to current genealogical standards, analyzed everything properly, resolved conflicts, written up her conclusion, and met the Genealogical Proof Standard.
Biography – Yvette categorises this as ancestors for whom she has not only finished the research, but has produced a biography or family story with historical context from it.
I have started a preliminary review of our tree against these criteria. I have been reasonably conservative in assigning levels: for example, I have written more biographies or family stories with historical context in this online research journal than are shown in this chart.
Surname groups from left to right: Young, Cross, Sullivan, Dawson, Champion de Crespigny, Cudmore, Boltz, Manock. Forebears where I only know the names (level 1 shown in blue) are not yet recorded on Wikitree, I need more information to record them there. The chart was generated with DNAPainter.
The chart was generated using DNAPainter and the dimensions facility on the ancestral tree tool. DNA Painter Dimensions are custom categories giving the ability to create and share different views of your direct line. One of the dimensions you can apply to your tree is what stage you have reached for each forebear in the six levels of ancestral profiles of Yvette Hoitink’s level-up challenge. I learned about the addition of this new DNA Painter ‘dimensions’ feature in April. I have been meaning to apply it.
Applying the dimensions to each of the profiles was laborious. I sped it up slightly by applying level 1 (only know names) to all profiles on the tree. I then individually edited each of the other profiles with what I felt to be a fair assessment of the state of my research.
When I finished adding the categories I was able to generate a summary of genealogy facts. For example for the tenth generation (the outermost ring on the fan chart) I could produce the following summary:
I discovered that I knew the names of only 22% of the possible 1,023 on my side of the family. On my husband’s side I knew the names of only 13%. From our children’s perspective the combined figure was 31%.
Two years later, in March 2020, I had made only a little progress. I was then able to name 33.6% of the combined total, about 3% more. A year later, as of today I can name 352, 8 more, 34.4% of the possible 1,023 total.
For the last six months I have been transferring my research to WikiTree, a collaborative project intended to produce a ‘singular worldwide family tree’. (The genealogist Kitty Cooper discusses the scheme in a post of 26 April 2019). By contributing my research to WikiTree it will be there as a resource for my cousins to use now and indefinitely into the future, safe, I hope, from accidental and malicious damage.
In places there are discrepancies between my personal research tree and WikiTree. I still have 15 of my children’s 5th great grandparents to transfer from my tree to WikiTree. Transferring means revisiting my research and making sure I have citations to justify the relationships and the asserted facts. I also have names of forebears on my personal tree about whom I know nothing more than their name. These people cannot be added to WikiTree until I have more information about them.
Using the “Ancestor Explorer” app developed by Chase Ashley (https://apps.wikitree.com/apps/ashley1950/ancestorexplorer/), I can see a sortable list of all the ancestors of my children for up to 20 generations back and I can monitor the progress of identifying their 1,048,576 18th great grandparents and of the pedigree collapse that reduces the number of unique forebears.
As of today, on WikiTree my children have 3211 unique ancestors named and 8914 duplicate ancestors (additional lines of descent from a unique ancestor) within 20 generations. Less than three months ago, on 28 February, my children had 2459 unique ancestors and 7705 duplicate ancestors (additional lines of descent from a unique ancestor) within 20 generations; in particular, as part of my exploration of our Irish ancestry, over the last few months I have added a large number of our Irish forebears.
When looking at the 1,023 individuals of the previous ten generations of our forebears, I have only 245 recorded on WikiTree, 24% of the possible forebears.
The application DNA Painter has useful charts to present tree completeness. I exported GEDCOM files from WikiTree and my personal research tree to compare the results:
Progress on my personal research tree as at 13 May 2021 from the perspective of our children – 352 forebears of a possible 1,023 in ten generations. Surname groups from left to right: Young, Cross, Sullivan, Dawson, Champion de Crespigny, Cudmore, Boltz, Manock
Progress on WikiTree as at 13 May 2021 from the perspective of our children – 245 forebears of a possible 1,023 in ten generations.
Name only – perhaps the forebear is named in a child’s record but no other details are known
Vital statistics – know the dates but little else
Occupations, residence, children, spouses – know several key points of information; know when and where they were born, married, and died, but also where they lived between those key dates and what they did for a living; know who their children were, and if they married multiple times.
Property ownership, military service, religion, criminal activity – filled in more biographical details about their lives; researched in court, notarial, cadastral, church and military records, where applicable; if they owned property, how they acquired it, how they disposed of it; whether they left a last will or if they had a prenuptial agreement; for men, whether they served in the army; what religion they were and which church they attended; if they were criminals, what they did and what their sentence was.
Genealogical Proof Standard – Yvette categorises this as ancestors for whom she has finished reasonably exhaustive research and has proven who their parents are; finished researching them in a wide range of records, such as newspapers, town records, and tax records; documented them according to current genealogical standards, analyzed everything properly, resolved conflicts, written up her conclusion, and met the Genealogical Proof Standard.
Biography – Yvette categorises this as ancestors for whom she has not only finished the research, but has produced a biography or family story with historical context from it.
I think these stages are indeed useful in measuring progress. I have a long way to go in compiling the profiles of our forebears beyond merely recording their names and dates.
Mary Hickey (1819 – 1890), my third great grandmother, came to South Australia in 1840 on the “Birman” with her sister Julia (1817 – 1884) and brother Michael (1812 – 1840) and Michael’s wife and their two young children. Michael died on the voyage; his wife and children returned to Ireland. In 1843 Mary Hickey married Gordon Mainwaring, a farmer.
Although I have found records for Mary Mainwaring nee Hickey in Australia I have not been able to trace her origins in Ireland. It is possible however that DNA may provide clues to more information about Mary Hickey and my Hickey forebears
My father has a DNA match with JW on ancestry.com. They share 21 centimorgans of DNA across 2 segments. JW is my father’s sixth cousin once removed. Their most recent common ancestors are Godfrey Massy (1711 – 1766), a clergyman, and his wife Margaret Baker; Godfrey and Margaret are my father’s sixth great grandparents. The amount of DNA shared is rather a lot for such distant cousins but not impossible. However, there may be a closer connection.
My father and JW uploaded their DNA to GEDMatch, a site that enables users to analyse and compare their DNA results. AncestryDNA uses algorithms to remove components of a match in cases where the company believes that the shared DNA may be due to general population inheritance rather than a genealogical relationship. On GEDMatch my father and JW share three segments of DNA on chromosome 3 totalling 37.6 centimorgans. They also share 49.4 centimorgans across two segments on chromosome 23, the X chromosome.
Shared segments of DNA reported by GEDMatch for my father and JW illustrated using DNAPainter. The purple bars highlight the lengths of the shared segments.
My father inherited his X chromosome from his mother, and a Y chromosome from his father. My father’s mother inherited her two X chromosomes from each of her parents but her father inherited his X chromosome only from his mother. Inheritance on the X chromosome thus has a distinctive pattern.
Godfrey Massy is shown on the fan chart highlighted in purple with an arrow pointing to his position. When the fan chart is overlaid with the X DNA inheritance path it can be seen that Godfrey Massy can not be the source of the DNA shared between JW and my father on chromosome 23.
My father’s X-DNA inheritance path is highlighted. The area with black X’s represent the X DNA inheritance paths for a male being the only possible ancestors who could be sources of X DNA. Charts generated using DNAPainter.
JW’s great great grandmother was Ann Hickey born in County Limerick in about 1823 who married James Massy in about 1841. James Massy was the great grandson of Godfrey Massy. James and Ann had a son Michael (1842 – 1888) and a daughter Margaret born 1844. Ann Massy nee Hickey died about 1845 and James remarried to a woman called Mary. In 1847, by his second wife he had a daughter they called Mary. James Massy, his second wife and his three children emigrated to Queensland on the Florentia, arriving in April 1853. James’s wife Mary died during the voyage. The shipping record states that James Massy was aged 30 (born about 1823), was born in Limerick, was a carpenter, a Roman Catholic, and could read and write.
The X DNA inheritance for JW shows that she could have inherited some of her chromosome 23 from her great great grandmother Ann Massy nee Hickey. My father and JW also both share DNA with matches who have Hickeys from Limerick in their family tree.
Ann Massy nee Hickey, JW’s great great grandmother, is indicated with orange and marked with the black arrow. Godfrey Massy, JW’s fifth great grandfather, indicated with light orange and a green arrow.
JW’s X-DNA inheritance path includes Ann Hickey highlighted with the orange arrow; Anne Hickey is a source of 25% (on average) of JW’s X DNA. Godfrey Massy, shown with the green arrow, is not a source of X DNA for JW. While there are certainly many other possibilities of sources for X DNA for JW, shared DNA matches with my father point to the Hickey line.
While exploring records for Hickeys of County Limerick I came across a series of records for a woman called Bridget Hickey of Sallymount who had applied for a Poverty Relief Loan. One of the guarantors was a James Massy, the other was named William Kennedy. It could be a coincidence, but perhaps Bridget was related to Ann Hickey, the wife of James Massy.
The Irish Reproductive Loan Fund was a micro credit scheme set up in 1824 to provide small loans to the ‘industrious poor.’ In November 1843 Bridget Hickey, shopkeeper of Sallymount, received £4 principal on which 20 shillings interest was payable. Six years later, in 1849, Bridget Hickey, James Massy, and William Kennedy were served with a notice stating that Bridget had neglected to pay most of the amount owing . They were obliged to appear in the Sessions-House of Castle Connell.
Irish Reproductive Loan Fund, T91 (The National Archives, Kew) Security notes of borrowers and sureties for loans Archive reference T 91/178 Retrieved through FindMyPast
On the reverse side of the notice it is noted that Bridget Hickey was dead and was the sister of James Massy and of William Kennedy. I interpret this to mean she was the sister-in-law of James Massy, the sister of Ann Hickey.
overleaf from above notice
In a return to the Clerk of the Peace signed 5 March 1853 – a document associated with Bridget Hickey’s loan – James Massy, a fishing rod maker, is reported as having left for Australia in November last. This fits with his Australian arrival on the Florentia in April 1853; the Florentia departed from Plymouth on November 22. The trade of fishing rod-maker, of course, is not too distant from that of carpentry. In that time and place, fishing pole manufacture was not an ordinary trade. Fishing could be an upper class pursuit and a maker of fishing poles could have an intermediate status in the class structure, like an estate agent or a gamekeeper.
In the same return Bridget Hickey is stated to be a pauper last seen about November in the City of Limerick. The report of her death in 1849 seems to have been incorrect.
Ireland, Poverty Relief Loans 1821-1874 Returns to the Clerk of the Peace [dated on next page 5 March 1853] Source Irish Reproductive Loan Fund, T91 (The National Archives, Kew) Archive reference T 91/180 number 1034 retrieved through FindMyPast
I am reasonably confident that James Massy, husband of Ann Hickey, is in some way connected to Bridget Hickey. Ann and Bridget were probably sisters. Bridget Hickey and James Massy lived in either of the adjoining townlands of Ballynacourty and Sallymount, parish of Stradbally. Given the likely DNA connection between Anne Massy nee Hickey and Mary Mainwaring nee Hickey, I intend to look for the family of Mary Mainwaring nee Hickey in the adjoining townlands of Ballynacourty and Sallymount, parish of Stradbally.
We each have two parents, four grandparents, eight great-grandparents, and so on; the numbers double with each generation. In ten generations we have 1024 great great … grandparents.
In twenty generations we would have 1,048,576 18th great grandparents. While this is possible in theory, it is more likely that we have far fewer, simply because our forebears married someone related to them. This is called ‘pedigree collapse’: we have fewer forebears, with multiple lines of descent from the same person.
Recently I have started to record more of my genealogy on Wikitree. I like the idea of collaborating with cousins on a single family tree. Wikitree strives for historical accuracy by requesting that facts are supported with citations. Collaboration means I can see my connections to forebears further back in time. Wikitree is free and contributors sign an honor code of shared of ethics and principles.
There are some interesting applications to help one analyse one’s family tree on Wikitree and one of these is “Ancestor Explorer” developed by Chase Ashley https://apps.wikitree.com/apps/ashley1950/ancestorexplorer/. The app allows you to see a sortable list of all ancestors of a particular person (Descendant) for up to 20 generations back. That list shows the number of lines to the same ancestor if there are multiple lines of descent; an indication of pedigree collapse.
The tool tells me that I have 3030 unique ancestors and 20,016 duplicate ancestors (additional lines of descent from a unique ancestor) within 20 generations. That is a lot of cousin marriages leading to a lot of duplicates.
It appears, for example, that I am descended in 1035 different ways from Marjorie Carrick (abt 1252 – 1292). By one line of descent she is my 19th great grandmother and by another line of descent she is my 30th great grandmother. As far as I can see, all the 1035 lines of descent are either through Helen (Kinnaird) Dana (abt 1746 – 1795), one of my fifth great grandmothers or through Sophia Henrietta (Duff) Mainwaring (abt. 1790 – 1824), one of my fourth great grandmothers on a totally different branch. Both women have long Scottish lines of descent that have been well documented on Wikitree.
Portrait of Sophia Mainwaring nee Duff, my fourth great grandmother. The portrait is at Whitmore Hall, Staffordshire. Sophia’s pedigree includes a lot of marriages between cousins.
My tree on Wikitree is by no means complete. I have recorded only 20 of my 32 possible great grandparents, 28 of my possible 64 great grandparents, and 30 of my possible 128 5th great grandparents. When looking at my personal family tree I have 26 of my 32 possible great grandparents, 36 of my possible 64 great grandparents, and 49 of my possible 128 5th great grandparents; there are 6+8+19 = 33 more ancestors to add to Wikitree.
My pedigree at Wikitree as at 28 February 2021. Tree generated with DNAPainter from a gedcom downloaded from Wikitree. The fan chart shows 9 generations: on Wikitree I know only 26 of the 512 possible 7th great grandparents. Coloured blocks indicate ancestors whose details are known; light grey indicates unknown forebears.
My pedigree at on my own research tree as at 28 February 2021. Tree generated with DNAPainter from a gedcom downloaded from ancestry.com. The fan chart shows 9 generations: on my own research tree I know only 69 of the 512 possible 7th great grandparents – I need to transfer my research to Wikitree.
My personal research tree has only 15 people at the 14th great grandparent level and there are only 13 people who appear more than once. My Wikitree pedigree has 341 14th great grandparents and 177 people who appear more than once.
I intend to work on increasing my tree completeness at Wikitree and collaborating with cousins on distant genealogy.
An elusive ancestor I found was: I followed my tree further back and found some new Huguenot ancestors: My gunpowder-manufacturing Huguenot forebears. I also made some progress on my husband’s tree through DNA and detective work. I wrote about this at Following the clues.
A great collection of newspaper articles I found documented my great grandmother’s social life through the 1919 Spanish flu epidemic. She coached debutantes for their coming-out balls. Although a Victory Ball in Sydney was cancelled because of the pandemic, balls in Adelaide continued. It seems risky behaviour. I think they didn’t wear masks: A masked ball.
A geneajourney I planned but didn’t take was : I had hoped to visit Mildura, Wentworth, and Renmark, the district where my Cudmore and Gunn forebears lived. My 3rd great grandmother, for example, died near Renmark and the plaque from her grave seems to be on display at “Olivewood”, the Chaffey Brothers historic homestead-museum, at Renmark.: Margaret Gunn (1819 – 1863).
I located an important record with the release of new German records, the civil registration death record for my great grandfather Fritz Hermann Boltz, 1879-1954.
A newly found family member shared … I often receive comments about my online research journal from fellow family historians and occasionally connect with new cousins. I enjoy the feedback and it’s always a pleasure to make a new connection.
A geneasurprise I received was the digitisation of my 4th great grandfather Rowland Mainwaring’s publications. I have yet to explore these fully but I have started to research his naval career at Midshipman Rowland Mainwaring.
My 2020 social media post that I was particularly proud of was completing my write-up of our 2019 trip to the UK: UK trip 2019
I made a new genimate who worked with me to solve a paternity mystery for a cousin’s DNA: Using the What Are the Odds Tool version 2.
I joined two surname related groups: the Clan Gunn and the Clann Caomhánach (Cavenagh).
A genealogy education session or event from which I learnt something new was a presentation on Deductive Chromosome Mapping by Blaine Bettinger. I could not wait to try the technique: DNA Technique: Deductive Chromosome Mapping.
A DNA discovery I made was a connection to Greg’s Darby forebears which helped to confirm his great grandfather’s, Henry Sullivan’s, birth mother and her father: Following the Clues.
A brick wall I demolished was the birth mother of Henry Sullivan. I have been working on this since we first started our family history research but DNA has made the difference and confirmed my hypothesis: Poor Little Chap.
A new genealogy/history book I enjoyed was Mark Bostridge’s biography of Florence Nightingale.
Zoom gave me an opportunity to watch some interesting presentations, in particular the National Library of Australia’s presentation on the Australian Joint Copying Project: What does the AJCP Mean to YOU!!
I am excited for 2021 because – there is always more family history to research. I have so many projects in progress and far too many tabs open in my browser.
Another positive I would like to share is: my father and I have been working for some years on a biography of my 3rd great grandmother, Charlotte Frances Champion Crespigny nee Dana. It’s nearly finished and we are just about to publish it.
In 2020 I have published 103 posts so far (I expect it will be 105 by the end of the year: this post and one about the new book).
My family tree at ancestry.com has 11,214 people; 2,338 images; 328 stories; 17,736 records attached. In March, it was 10,481 people.
My tree completeness to 10 generations (my childrens’ 7th great grandparents) remains at 34%, as I reported in March earlier this year, though I know the names and some other details of 2 more of their fourth great grandparents. I also know about 46 more of their 8th to 13th great grandparents, but that is a small fraction of their forbears that far back. There’s lots more research to do.
Direct ancestors whose names I know are coloured; blanks represent those whose names are unknown to me. Tree created using DNAPainter.
Recently I used the ‘DNAPainter‘ What Are the Odds Tool to place a DNA match in my tree and to identify her father.
M showed up in Greg’s list of matches at Ancestry.com. She and he shared 29 centimorgans of DNA across 2 segments, but she had no tree associated with her DNA. Her kit was administered by a 3rd person, D.
M and Greg’s shared matches were all cousins I knew, all of them associated with the Young branch of his tree. M also shared DNA with Greg’s Aunt Betty: 48 centimorgans across 4 segments. M and Aunt Betty had 14 shared matches. More than ten were known cousins all linked to the Young family tree.
I messaged D and she replied that M was born in outback Queensland and that M’s father was unknown. I knew of no relatives who came from there.
48 centimorgans of shared DNA is associated with a range of possible cousin relationships. It was not at all clear how M and Aunt Betty (and Greg) might be related.
I asked D to share a screenshot of M’s shared matches with Aunt Betty. I thought that if I knew how much DNA M shared with some of our known cousins I might be able to identify how M might be related.
One of the shared matches, that of J, jumped out. J is Greg’s 3rd cousin and is descended from one of the daughters of George Young and Caroline Young born Clarke. M and J share 815 centimorgans and so can be estimated to be 1st or 2nd cousins. Other known cousins also shared significant amounts of DNA with M, including F who shared 277 centimorgans and R who shared 443 centimorgans. Based on the amount of shared DNA F and R are estimated to be 2nd cousins to M.
I drew up a tree in the DNAPainter What Are The Odds tool, placing Betty and Greg and also J, F, R (and as well, K and B. I know how these are related.) K shares 60 centimorgans with M and B shares 55 centimorgans with M. Using the What Are The Odds tool you add how much DNA is shared between the match and the target name. The aim is to place the target on the tree.
The numbers below each name or initial are the number of centimorgans of DNA that person shares with M.
I then switched to version 2
see orange arrow for where to click to switch to version 2green arrow shows where to click for suggest hypotheses in version 2 of the tool
and then clicked on ‘suggest hypotheses’. The tool suggested 10.
This is the tree showing the 10 hypotheses.Scrolling down below the tree there is a table showing a matrix of the matches of M with how M hypothetically relates to those matches.
Rachel lived from 1865 to 1918. M cannot be her child, so hypotheses 8 and 10 shown by the blue and green arrows are implausible. It is possible that M could be a grandchild of Rachel, but hypotheses 6 and 7, shown by the orange arrows, have much lower scores than other hypotheses, and so I removed them too. When removing hypothesis 8 though I did not delete that person on the tree but I removed the option that it was a hypothesis.
I am left with six hypotheses.
If I scroll down I get a ranking of hypotheses.
Scrolling further I get the table with a matrix showing the odds associated with each hypothesis and the various matches.
It can be seen that hypothesis 2 (highlighted in orange) is the most likely. J is most likely a first cousin of M, our target who we are trying to place on the tree. The next most likely hypothesis is that M is a half-aunt of J.
I know from my knowledge of the family tree that J does have a full uncle, brother of J’s parent M and showing as unknown sibling child of Leslie on the tree. Thus hypothesis 2 is possible from a genealogical perspective.
I checked the electoral rolls for the period that M was born and for the location. I found that the unknown sibling was indeed living in that part of Queensland at the relevant time. M’s mother had suggested the surname of M’s father. It was similar to the surname of J’s uncle.
On the basis of the calculations of What Are The Odds tool and a review of the broader circumstances, I am reasonably confident that hypothesis 2 is plausible. M is the 1st cousin of J. She is Greg’s 3rd cousin.
This afternoon I watched a Legacy Family Tree webinar (recorded) by Dr Blaine Bettinger, a genetic genealogist, about a DNA technique used to map the segments of DNA that a person does not share with a match. A match, of course, is definable as a string or strings of DNA common to two people. But what about the DNA that they do not share? Can it tell us anything?
Blaine Bettinger showed how, by using DNA information from close relatives such as parents or siblings, we can work out where pieces of DNA came from: how they were inherited. The technique is called deductive mapping, inverse mapping, or inferred mapping.
The key is to recognise that on the chromosome you inherited from your father, your DNA comes either from your paternal grandfather or your paternal grandmother. Similarly, the DNA from your mother comes either from your maternal grandfather or your maternal grandmother.
If you find DNA on the chromosome that you inherited from your father that did not come from your paternal grandfather then it must have come from your paternal grandmother. The principle applies equally to matches on your mother’s side.
I was very keen to put this new technique to the test on my husband Greg’s DNA. Luckily, Greg’s brother Dennis had tested his DNA, and I was able to use his matches in combination with Greg’s. The first match I reviewed was Greg and Dennis’s paternal aunt Betty.
Note Aunt Betty and Peter, father of Greg and Dennis, are half siblings. Betty and Peter have the same father but different mothers.
My hypothesis was that for segments of DNA where Dennis shares DNA with Aunt Betty and Greg does not share DNA with Aunt Betty, those segments must have been inherited from Greg and Dennis’s paternal grandmother, Peter’s mother Elizabeth Cross.
All segments on Greg and Dennis’s paternal chromosomes were either inherited from their paternal grandfather Cecil Young or from their paternal grandmother Elizabeth Cross. If Dennis shared a segment with his Aunt Betty, he inherited that segment from Cecil. If Greg did not share that same segment with his Aunt Betty, then he did not inherit that segment from Cecil. He must have inherited the segment from his paternal grandmother Elizabeth Cross.
Using the tools at MyHeritage DNA I was easily able to extract the segment data of the DNA shared by Greg and his Aunt Betty. They share 138.5 centimorgans of DNA across 19 segments. I scrolled down to the chromosome browser on the match screen and clicked on “Advanced Options” on the right side of the screen and then clicked on “Download shared DNA info”.
This gave me a spreadsheet and I was able to copy and paste the data into DNA Painter (I have written about chromosome mapping with DNA Painter at DNA Painter – a new tool). I created a new profile for this exercise as I did the calculations.
Map of the DNA segments Greg shares with his Aunt Betty using DNAPainter
I then extracted the segment data for Dennis and Betty.
I then mapped Dennis and Betty’s match at DNA Painter. So I could see Greg and Betty’s match lined up against Dennis and Betty’s, I mapped it as a maternal match. I then looked for the visual clues of segment mismatch. I have highlighted these segment mismatches with green arrows. There were eight segments where Dennis shared DNA with Aunt Betty that Greg did not. (There were also segments that Greg shared and Dennis did not but for the moment we are concentrating on Greg’s chromosome mapping.) Four of these were complete segments and four partial segments.
I took the spreadsheet of Greg and Betty’s shared segments and pasted beside it Dennis and Betty’s shared segments so I could compare them.
Data from MyHeritage
I then highlighted the whole segment mismatches in green and the partial segment matches in purple.
I then added the four segments that were inferred to have been inherited by Greg from Elizabeth to the DNA Painter profile. I only needed to add the chromosome number and the start location and end location.
For the purposes of chromosome mapping I did not need the additional data concerning RSID start and end, the number of centimorgans, or SNPs.
When previewing the segments I got a warning from DNA Painter about match segments being overlaid and that I might have already mapped these segments.
When I tried to save the match, DNA Painter told me that there was an overlap with the segments I had already painted of Dennis’s match with Aunt Betty.
The four new segments showing DNA inferred to be inherited from Elizabeth Cross are in shown in green
The next challenge was to calculate the partial segments where Dennis shared some DNA with Aunt Betty that Greg did not at the beginning or end of a segment. I first did the calculation for Chromosome 5. The segment Dennis shared with Aunt Betty extended beyond the segment Greg shared with Aunt Betty. In the spreadsheet calculations for inferring the DNA Greg inherited from Elizabeth Cross, I copied the end location data for Greg’s segment match with Aunt Betty and the end location data for Dennis’s segment match with Aunt Betty. This created the segment that Dennis shared with Aunt Betty and Greg did not.
I painted that segment successfully. The black arrow highlights the segment Greg does not share with Betty and can thus be inferred to have been inherited from Elizabeth Cross. Underneath can be seen that Dennis shares that segment with Betty.
I repeated the exercise for chromosome 11. This time Dennis shares DNA with Betty and Greg does not before the segment Greg shares with Betty. So the calculation involved the start location of Dennis being the start location of the inferred segment and the start location of Greg’s match with Betty being the end location of the inferred segment.
I repeated the exercise of inferring segments for the remaining two segments.
The finished profile showing Greg’s match with Aunt Betty in purple, Dennis’s match with Aunt Betty in orange and in green the inferred inheritance of DNA by Greg from his paternal grandmother Elizabeth Cross based on the mismatch of Greg’s match with Aunt Betty when compared to the shared DNA of Dennis and Aunt Betty
I was confident in the logic of the results of this deductive chromosome mapping exercise and added the inferred segments to Greg’s DNA chromosome map. Before this exercise I had mapped 40% of Greg’s DNA with 161 segments being assigned. After adding these 8 segments 41% with 169 segments assigned. I have now mapped 54% of Greg’s paternal chromosome with 94 segments assigned.
I look forward to continuing the exercise and filling in more gaps.
By assigning inferred segments to either the paternal grandfather, paternal grandmother or on the maternal chromosome to either the maternal grandfather or maternal grandmother, I may be able to use the information to deduce how a DNA match links to Greg’s family tree based on the segment shared, even if that match does not have a family tree link to Greg.
A chromosome map is not just a colourful diagram. It’s a useful tool for exploring how DNA matches might be related. Information about the descent of a DNA segment, even if the segment is not directly shared by matches, could help you to calculate their shared ancestry.
The genealogy company MyHeritage recently announced it had refreshed the data for its ‘Theory of Family Relativity™’, a tool that computes hypothetical family relationships from historical records and DNA matches. It does this by ‘…incorporating genealogical information from [its] collections of nearly 10 billion historical records and family tree profiles, to offer theories on how you and your DNA Matches might be related.
In yesterday’s webinar I looked at a MyHeritage theory of the relationship between my husband Greg and his cousin Pearl. MyHeritage suggests that Pearl is Greg’s second cousin once removed. This is confirmed by the historical records. Greg and Pearl have well-developed and reliable family trees, so it wasn’t difficult to calculate the relationship.
It’s hard to say what’s new in MyHeritage’s new Theory. It’s possible that new ways of massaging the data have been developed, but it seems more likely that, with larger volumes of data being processed to develop Theories, ‘new’ simply means more, as in ‘newly-added’.
Anyway, I thought I’d give it a try.
MyHeritage’s announcement included a note advising users that ‘If we have found new theories for you in this update, you’ll see a banner about the Theory of Family Relativity™ at the top of your DNA Matches page. Click “View theories” to see all the theories we’ve found, both old and new.’
I couldn’t find this banner, but I eventually found my way to the filters on the DNA results page where by using the “All tree details” filter, I could select “Has Theory of Family Relativity™”
1 choose DNA from top menu bar – 4th option, 2 choose to look at DNA Matches, 3 select filters, 4 click on “All tree details and from the drop down menu select the top option “Has Theory of Family Relativity™” indicated by the green arrow
My husband Greg has 14 matches with theories. Back in March 2019 I counted 7 matches with theories so I looked at this list of matches again to see if I can learn anything new. In March 2019 Greg had 4313 DNA matches at MyHeritage. Now he has 6399, 50% more.
Several of the 14 matches in the list were matches I had not previously reviewed. I decided to look at S, whose DNA kit is managed by T from Canada.
2 of the 14 matches which have a Theory of Family Relativity: in the post I have looked at the second match in this listcloser view of screenshot of the 2nd match
Greg and S share 35 centimorgans across 1 segment. MyHeritage estimates them to be 3rd to 5th cousins. S appears in a family tree with 250 people. S is the 4th cousin of Greg according to the Theory of Family Relativity™. Ancestral surnames appearing in both trees include Dawe; Daw and Smith. Ancestral places common to Greg and S include Great Britain and Ireland.
I clicked on View Theory which I have highlighted with the green arrow.
There are three paths to support the theory that Greg and S are 4th cousins.
The first path uses 3 websites: my tree, a tree by B R from Australia and the third website the tree by T who administers the DNA kit for S. MyHeritage states “This path is based on 3 MyHeritage family trees, with 55% confidence”
The green arrow highlights that there are three paths to review, the first path is displayed. The letters a and bshow the links between the trees and there is a confidence level that they have a match between the trees which is shown immediately above the letters a and b.
The link is William Smith Dawe (1810-1977), Greg’s third great grandfather. I have on my tree that he is married to Mary Way (1811 – 1861). B R’s tree has William’s dates (1819 – 1877) and has William’s wife as Elizabeth Hocken 1821 – 1884 and the daughter of William and Elizabeth as Thirza Dawe 1824 – 1891. Thirza is the great great grandmother of S.
MyHeritage thinks the probability that the two William Smith Dawe’s on my tree and B R’s tree is 100% despite the differing birth dates. MyHeritage thinks the probability that Thirza Daw on B R’s tree is the same Thirza Daw on T’s tree is only 55%. I clicked on the small 55% immediately above the green letter b and got the following pop-up.
I have highlighted the 55% confidence with a green arrow up the top. Both Thirza’s have the same birth and death dates and places. The significant difference between the two Thirza’s is their parents. In B R’s tree Thirza is the daughter of William Smith Dawe and Elizabeth Dawe born Hocken. In T’s tree Thirza is the daughter of Isaac Smith Dawe and Betsy Dawe born Metters or Matters
There are several problems with this first path of the theory calculated by MyHeritage. I don’t believe our William had two wives and Thirza born 1824 would have been born when William and Elizabeth were extremely young. I know this family does have common names and these are repeated across several generations. There are also several cousin marriages in this branch of the tree.
I looked at the second path to see if it is more plausible. MyHeritage states “This path is based on 4 MyHeritage family trees, with 70% confidence.”
The four trees are mine and the tree by T who administers the DNA kit for S plus a tree by JS from Australia and a tree by MT from Australia.
This path goes from Greg’s great grandmother Sarah Jane Way (1863 – 1898) to her mother Sarah Way née Daw (1837 – 1895). The Daw surname sometimes is spelt with an extra e as in the tree by J S. From Sarah Dawe on J S’s tree we go to Sarah Ellen Dawe (1837 – 1895) on the tree by M T. I am not sure where the middle name came from. I don’t recall it on any document. I will check the documents I have.
M T’s tree has the parents of Sarah Ellen Dawe as Betsey Metters 1792 – 1863 and Isaac Smith Dawe 1795 – 1851. From Isaac we link to T’s tree. He shows Isaac Smith Dawe 1797 – 1851 and Betsy Metters (Matters) 1792 – 1863 as the parents of Thirza Daw 1824 – 1891, the great grandmother of S.
This theory seems more plausible to me, but I need to verify this against source documents. At the links between the trees MyHeritage assigns a confidence level. Most of the links are 100% but MyHeritage is only 70% confident that Sarah Dawe in J S’s tree is the same person as Sarah Ellen Dawe in the tree by M T.
I clicked on the 70% and got the popup showing the comparison which gives additional detail from both trees. The difference is that the tree by J S has no parents has no parents but the tree by M T has Sarah Ellen Way’s parents as Isaac Smith Dawe and Betsy Metters. M T’s Sarah Ellen Daw has the same dates and places of birth and death as the Sarah Daw in my tree. I have plenty of documents to back up that sarah’s parents were not Isaac and Betsy but instead Isaac’s brother William Smith Daw.
This theory almost but not quite adds up. The need to go across several surnames is because of the spelling variations between Daw and Dawe. In my tree I have spelled the surname without a final ‘e’. I think MyHeritage has placed too much emphasis on the surname variation and not enough on other variations.
The third path “…is based on one community tree and 4 MyHeritage family trees, with 52% confidence”.
This path uses our tree, the tree by Greg’s cousin Pearl, a tree managed by S R from Great Britain, Family Search Family Tree, and the tree by T who administers the DNA kit for S.
Pearl’s tree provides the link between Sarah Daw on our tree spelt without an e to Sarah Dawe with an e and from there to her father William Dawe – surname with a final e. From there the link is to S R’s tree with William Smith Dawe (1810 – 1877), MyHeritage are only 72% confident they have the right man. William Dawe is not a direct forebear of Pearl and she has not provided many details for him in her tree.
S R shows Thirza Dawe (1824 – 1891) as the daughter of William Smith Dawe. From there the link is to FamilySearch Family Tree but with only 52% confidence. I clicked on the 53% to find out why MyHeritage is not confident they have the same person.
There are some important differences. The dates are the same and the place name variations are minor. FamilySearch, however, has Isaac Smith Dawe as the father of Thirza, not William Smith Dawe.
This path is rated 52% confidence by MyHeritage. The level of confidence is determined by its assessment of the weakest link.
I don’t think this path is correct. S R’s tree shows William Smith Dawe fathering Thirza when he was only 14, which is unlikely.
Of the three paths I think path 2 is most plausible but even then it is not quite right as it relies on the wrong father for Greg’s great great grandmother Sarah Way born Daw and does not fit with known records.
The next step is to review records and update my own tree using those records. After all, the Theory of Family Relativity generated by MyHeritage is meant to be a hint and not a proven conclusion.
I did not have Thirza Daw(e), the great great grandmother of S in my tree.
I have Isaac Smith Dawe (abt 1797 – 1851) and his wife Betsy Metters (1792 – 1863) in my tree. They show as Greg’s 4th great uncle. I have only one daughter showing for that marriage, the forebear of another match. Because Isaac is off to one side I have not researched all that family.
Isaac Daw appeared on the 1841 English census as a 40 year old miller living at Newton Mill, Tavistock, Devon. In the same household was Betsy Daw aged 45, and four children Betsy Daw aged 15, Honor aged 9, Jane aged 8, David aged 4.
On the 1851 census Isaac S Daw is a 54 year old miller employing 4 men and 1 boy living at Lumburn, Tavitock. In the same household are his wife Betsy aged 58, a niece aged 15 and a servant, a miller’s labourer, aged 30. All children have left home.
At the time of the 1841 census there may have been other children who had already left home.
Research by another cousin Lorna Henderson which she shared to Wikitree showed “entry in Beer Ferris in Tavistock parish register for 25 Aug 1818 shows Isaac Smith Dawe as sojourner of this parish, and Betsey Metters of this parish spinster, “married in this church by banns with the consent of their parents” by Harry Hobart, Rector. Both signed: Isaac Smith Daw and Betsey Matters. Wit: Humphrey Roberts, Mary Box (neither of whom witnessed other marriages on the page)”. I navigated to the Wikitree entry from MyHeritage when I searched Isaac Smith Dawe (Daw)/Dawe in All Collections. MyHeritage has 13,676,346 results for Isaac Smith Dawe (Daw)/Daw – far too many, the problem with a common name – they would of course be reduced as one narrowed down the search parameters.
I have been in correspondence with Lorna Henderson before and I know she is a most conscientious researcher and that Isaac is her direct forebear. She has a website for her family history at http://LornaHen.com and the details she has researched about Isaac Smith Daw are at http://familytree.lornahen.com/p28.htm . Lorna records there that in his will of 1847, William Smith Daw mentions his daughters: “My Daughters Names are as follows Mary Cook Betsey Bennett, Thirza Daw, Honor Daw and Jane Daw” and also his sons “my too sons Isaac Daw and David Daw”.
I could not find a baptism record for Thirza Daw in the MyHeritage record collections. On Wikitree cousin Lorna recorded that Thirza Daw was baptised 5 APR 1824 Tavistock, Devon, England. I found an image of her baptism in 1825 at FindMyPast. She was the daughter of Isaac Smith and Betsy Daw. Their abode was Newton Mill and Isaac’s occupation was Miller. I have updated Wikitree with the slightly revised date.
I am confident that Thirza is the daughter of Isaac Smith Daw, Greg’s 4th great uncle. Thyrza Daw shows up on the 1841 census as a female servant in another household. She married in 1850.
I traced down to S through English and Canadian censuses and other records. I found that she was Greg’s 5th cousin. S and Greg share 4th great grandparents Isaac Daw(e) 1769 – 1840 and Sarah Daw née Smith 1774 – 1833. Greg is descended from William Smith Daw 1810 – 1877 and S is descended from his brother Isaac Smith Daw 1797 – 1851.
I will update my family tree at MyHeritage. The Theory of Family Relativity won’t update straight away but at least I know that the next time it updates it may use the opportunity to trace a more accurate path.
As mentioned above I feel the algorithms MyHeritage used placed too much emphasis on the variation between Daw and Dawe and not enough emphasis on the parents named in the trees though there was obviously some weighting for variations in parents.
Nothing has changed about the MyHeritage theories particularly that I can see although I had not noticed previous theories that I reviewed making use of the tree at FamilySearch.
The Theories of Family Relativity generated by MyHeritage are just that, theories or hints. But they did point me in the right direction to make the connection between S and Greg and build my tree a little further.
Last November I agreed to give a webinar (Web-seminar) – a live Internet presentation – for the genealogy company MyHeritage. Scheduled to be broadcast on Tuesday, September 22, 2020, it was to be called “Finding new cousins and building your family tree with DNA”.
The webinar was to start at 2 p.m. North American Eastern Time. I can’t remember if I realised that this would be 4 a.m. here in Ballarat.
What with bushfires and a pandemic I’d forgotten about this. Then last Friday I got an email scheduling an audio-visual test of the webinar software and hardware. It was on.
The walk-through went well, with only one hiccup: my Macintosh was reluctant to give microphone permissions to the webinar software. I gave up trying and used my Windows laptop instead.
My presentation was based on several posts, especially:
To comply with the convention that living people should not be identifiable, I asked the few people affected if they would mind being referred to by forename only. No one refused and I am very grateful. I also spent some time blurring their surnames where these were visible in screenshots and also blurring the details of other DNA matches.
My webinar was about using the MyHeritage DNA tools. Users interact with a web page for this. It’s complicated, and people new to it sometimes struggle to understand what’s going on. I tried to explain, emphasising that:
Find your matches where you know how you are related. MyHeritage has 4.2 million DNA kits in its database. You do not match all of these people but the number of matches you do have is probably overwhelming. Work from these known matches on to the matches you share with these matches.
Build or upload your family tree and link that tree with your DNA kit. If you are trying to work out how a match might be related you may need to work on their family tree to find the path to your shared most common recent ancestors and also to ensure there are no other possible relationships that could explain the shared inherited DNA.
There is a lot of data on the website and you have to explore often by scrolling down, and by clicking on the screen to reveal more even when there are not obvious prompts.
I pointed out the messaging icon and also the notes icon. Not everybody responds to your messages but many do. I recommend keeping the message short and offering to work with your match to find your shared ancestry.
I use the notes facility to keep track of when I messaged somebody and if I had received a reply plus any brief thoughts I might have about how they are related.
I looked at some of the tools MyHeritage offers: my favourite is the AutoClusters tool, an automatic tool that organizes your DNA Matches into clusters that likely descended from common ancestors. The tool was developed by Evert-Jan Blom and I have previously looked at the tool in my post DNA: experimenting with reports from GeneticAffairs.com.
All in all, it went well. The feedback was good. Most people found the session useful and in line with their expectations.
Next time I’ll use a headset for better quality audio and I’ll show simpler slides. And I will try to make sure the navigation tool for the presentation does not pop up.
AncestryDNA announces changes to its matching policy
From time to time users of the AncestryDNA service are confronted by a message advising that:
Our backend services are overtaxed at the moment and we are unable to retrieve all your matches. We apologize for the inconvenience, please try again later.
At other times users are told, “Something went wrong. Try reloading the page in your browser, or come back later.”
Refreshing the page often fails to work and users are forced to accept the invitation to ‘come back later’. Sometimes even the less specialised Ancestry.com site becomes overwhelmed.
AncestryDNA has more than 18 million samples in its database. It uses enormous computer power to store data and compare DNA. This is costly, of course, and where its methods produce false positives, inefficent.
Recently the company announced that it will no longer provide details of matches with only one segment where that segment is smaller than 8 centimorgans. The company gives as the reason for this new policy that
the shorter the length of the detected IBD segment (expressed in genetic distance), the less likely it is that the detected chromosome segment is truly inherited from a common ancestor.
AncestryDNA Matching White Paper Last updated July 15, 2020 – Discovering genetic matches across a massive, expanding genetic database
AncestryDNA notes that:
it has “…changed the [minimum] amount of DNA you need to share to be considered a match with another individual to 8 cM”.
from late August “…you’ll no longer see matches or be matched to people who share 7.9 cM or less DNA with you unless you’ve messaged them and/or included them in a note, or added them to a group (including your starred group).”
the change has been delayed “…until late August so you have time to review and determine if you want to save any very distant matches by sending them a message and/or including them in a note or group”.
Definitions, and what the AncestryDNA announcement means
A centimorgan (cM) is “a map unit used to express the distance between two gene loci on a chromosome. A spacing of one cM indicates a one percent chance that two genes will be separated by crossing over.”
The more centimorgans person A shares with person B the closer they are likely to be related. Your chromosomes have a total length of about 7400 cM, so you share about 3700 cM with each of your parents. Two people who share 6 to 7.9 cM are likely to be about 6th cousins, that is, they possibly share 5th great grandparents.
If you are related to a DNA match then the DNA segment or segments you share with at least one other person are identical by descent (IBD); you and your match inherited the segment from a common ancestor without recombination, and the segment has the same ancestral origin for you and your match.
The blogger Roberta Estes has estimated that 18% of her total matches share 7 cM and 30% share 6 cM. AncestryDNA’s purge of matches smaller than 8 cM will reduce her number of DNA matches by nearly half.
It has been estimated that about half the matches in the 6 to 7 centimorgan range are false positives. These matches do not truly demonstrate inheritance from a common ancestor. An error might have occurred when the DNA testing company compiled the chromosome marker: the DNA variations or the series of single nucleotide polymorphisms (SNPs) .
The companies’ matching algorithms do not treat the paternal and maternal chromosomes separately. Consequently consecutive SNP results for a short segment of DNA may appear to be half-identical in two individuals when in actuality the DNA sequences are not identical because the SNPs match on opposing chromosomes or because of errors in the matching algorithms. False matches can be the result of pseudosegments (matching alleles zig-zagging backwards and forwards between the maternal side and the paternal side), compound segments and fuzzy boundaries.
DNA is inherited so a match must also match one of our parents
If a person appears to match me but does not also match either of my parents, something has gone wrong in the matching process, for if neither of my parents shared the segment that appears to justify our match that person and I did not inherit the segment from a common ancestor.
The blogger Debbie Kennett found that 54% of her matches in the 6 to 7 cM range were not shared by either of her parents.
If about half of all DNA matches in the AncestryDNA database are very small and about half these are false positives, then about a quarter of the matches in our list of matches are false positives and are not genealogically relevant.
My experience
On 15 August 2020 I had 25,434 DNA matches to individuals. With 125 of these people I share 20 Cm or more. There are 25,309 distant matches with whom I share between 6 and 20 cM. Unfortunately there is no way using AncestryDNA to count matches in the range of 6 to 8 cM.
As both my parents have had their DNA analysed I am able to look at my very small matches to assess whether they match either of my parents.
Recently I looked at my small matches where AncestryDNA used its ‘Thrulines’ algorithm to show we both share common ancestors on our family tree and share DNA.
Fan chart showing the genetic ancestors identified by AncestryDNA using ThruLines for small matches 6 – 7 centimorgans (August 2020; Fan chart generated by DNA Painter)
I have 9 matches with shared common ancestors and shared DNA of 6 to 7cM. Of these matches 8 also share DNA with my father. The 9th match has a strong genealogical connection on my Mainwaring line and I do not doubt we are 5th cousins. However, he does not show up among my father’s DNA matches so despite being cousins we do not share DNA. It is estimated that only one third of fifth cousins share DNA.
It may be that the match with my father was somehow modified by AncestryDNA’s proprietary Timber algorithm, which tries to eliminate false matches “because they are of the same ethnicity or population — meaning that they (and many others from that same population) share DNA that they inherited from a distant ancestor who lived much longer ago”.
The Timber algorithm removes matches where the segments show “identical DNA with thousands of other people at that particular place”.
Recording notes about matches in the AncestryDNA database
AncestryDNA allows users to make personal notes in their database for each of their matches. Users can record when they messaged a match, how they believe they might be related, and the details of their shared match.
part of the list of AncestryDNA matches. Those in the list where AncestryDNA’s Thrulines algorithm have identified a common ancestor are shown with a green leaf in the 3rd column – see orange arrows. Part of the notes field appears in the 4th column see green arrows.One of my DNA matches showing my notes about the match
I looked at the 38 matches in the range of 6 to 7 cM shared DNA where I had made notes.
Of these 38 matches only one was shared with my mother, who shares 9 cM with that match. I don’t know how we connect.
Of 19 matches for which I had made notes and messaged, the matches also recorded shared DNA with my father. Three show common ancestors. Sixteen do not show common ancestors at present, although for several I know definitely how we are related.
Eighteen matches that I had annotated do not show as sharing DNA with either of my parents. It is thus likely that these matches and I do not share a common ancestor who can be genealogically traced.
Two of these matches had previously shown up as common ancestors, a green leaf in the list and the connection between our trees identified but no longer show up with the connection between our trees. Moreover they do not share DNA with my father.
For 2 of the 18 matches my father does not show as sharing DNA but does share DNA with another relative administered by the same manager. To me this indicates a possibility that the match is genuine but AncestryDNA’s Timber algorithm has modified my father’s match so it does not show up.
Consequences
I am not concerned if AncestryDNA removes smaller matches from my match list. Based on my very small review I accept that around half of the matches do not share DNA with my parents and thus are not useful matches for genealogy.
Of the remaining matches I already try to make connections with cousins who are researching the same ancestors using Ancestry.com’s member connect facility, which helps users to find fellow users researching the same ancestor. So while the ‘Thrulines’ method of highlighting shared DNA and common ancestors on a tree is useful, it is not the only means to make connections with cousins.
The Member Connect option is highlighted by the orange arrowWhen you click through to Member Connect you can see other people who are researching the same ancestor, the facts they have used and the Ancestry.com sources they have saved to their tree. Sometimes Ancestry.com does not correctly identify the common ancestor and you can ignore their suggestion.
Other matching services
Databases such as MyHeritage, FTDNA, and GEDMatch have tools that AncestryDNA does not provide. The tools are based on a chromosome browser, which helps to reveal details about the matched segment, enabling users to compare the shared segment with other matches. Without this it is impossible to be confident that the inherited segment is indeed from a distant ancestor. (See my post on Triangulating Matilda’s DNA.)
These other matching services have databases considerably smaller than that of AncestryDNA. Notwithstanding the better tools they have and the ability to see details of shared segments, I think it is best to test at AncestryDNA in the first instance because of the larger pool of matches.
Estimate of the size of the major autosomal databases in January 2020 caculated by Leah Larkin and published at https://thednageek.com/autosomal-dna-database-growth/ In January 2020 AncestryDNA announced it had past the 16 million mark; in July 2020 AncestryDNA announced it had passed 18 million tests. When we first tested in July 2016 the AncestryDNA database was less than one sixth the size.
Conclusion
The findings that a significant proportion of DNA matches are not genealogically significant seems plausible . For those small matches that are in fact genealogically sound I am prepared to miss out on these and concentrate my research efforts on the many thousands of larger DNA matches where I can be confident that there is definitely shared DNA and a genealogical connection if I could work it out – there are plenty of puzzles yet to be solved.
I will be pleased if AncestryDNA’s decision to remove small matches relieves pressure on its computing resources and improves response time for its users.
How will these proposed changes affect subscribers? I hope that AncestryDNA will provide more information about shared matches and new tools for exploring DNA data. And I wouldn’t mind at all if I never saw the “backend services are overtaxed” message ever again.
Sources
AncestryDNA Matching White Paper Last updated July 15, 2020 – Discovering genetic matches across a massive, expanding genetic database
