Over 180 project
administrators and co-administrators attended this year, and internationally there
were representatives from Canada, Finland, Germany, Netherlands, Mongolia, and
Kazakhstan!
serendipitous that this new venue, the Hyatt North Houston, welcomed our group in such a manner.
The following are some of the highlights at the Family Tree
DNA Conference and not a day-by-day blow of the events. Usually at some point, most of the presentations are posted on the FTDNA webpage. However, I greatly encourage you to visit
Jennifer Zinck’s blog Ancestor Central. She
did tremendous job writing as the conference occurred! Thank you Jen for this wonderful compilation!
Consumer Genomics: The 30,000-foot View by Dr. Spencer Wells
Currently the National Genogrphic Project has 75,000
indigenous testers and 625,000 public participants. He reported that genetic
sequencing is moving five times faster than Moore’s Law would predict. That’s five times faster than technology, and
we all know the evolution of the iPhone has not been slow!
For the future, Geno 3.0 is coming and a new SNP chip. Spencer predicted that in a few years the
whole genome sequencing will be $100 as it is really cheap with the X10 machine.
National Genographic is continuing to collect indigenous samples and is
planning a trip to Southeast Asia next year.
AND, his fourth book The Ghost of Genghis Khan is in the
works. Privately Spencer stated to me
that he considers his greatest work to be the discovery of Genghis Khan’s DNA. I can’t wait to read the book!
Ancient and Modern DNA Update: How many ancestral populations for Europeans?
By Dr. Michael Hammer
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My favorite presentation, Dr. Hammer updated the audience on last year’s
discoveries. At that time only three archaeological sites were being
explored in Europe, but now there are fifteen sites and eighteen fully
sequenced genomes for ancient DNA. From this research there are three
main European Ancestral components:
- West European
Hunter-Gatherers (WHG) – based on an 8,000 year-old genome from Loschbour,
Luxembourg. This population includes the Swedish hunter-gatherers
and a Mesolitic individual from the La Brana Cave in Spain.
- Early European Farmers
(EEF) – based on a 75,000 genome form Stuttgart, Germany which belongs to
the Neolithic Linearbandkeramik culture. This population includes
Oetzi the Iceman and a Neolithic Funnelbeaker farmer from Sweden.
- Ancient North Eurasians (ANE) – based on the 24,000 year-old genome from Mal’ta Siberia. This population includes a Mal’ta boy as well as the late Upper Paleolithic sample from Central Siberia called Afontova Gora-2. Mal’ta boy (MA1) is genetically similar to Native Americans.
Dr. Hammer mentioned that all Europeans are a mixture of the
three populations. He further stated that Ancient North Eurasians (ANE)
are equally distributed across Europe including the British Isles and that the
hunter-gathers (WHG) probably had blue eyes and dark skin. The Early
European Farmers (EEF) had dark eyes with lighter skin. These findings so
far indicate that Haplogroup I was pre-agriculture and that Ancient North
Eurasians (ANE) are haplogroup G2 in southern France, Spain, Northern Italy and
North Germany as well as Haplogroup I in France and Haplogroup E in Spain.
There was no R1b at this point, and G2 dominated at this time. It is
clear that the R1b haplogroup is relatively new as most samples from the more
ancient times in Europe were G and I so far.
DNA Ethics: Why we can’t cover our eyes by Dr. Blaine
Bettinger
He spoke about getting informed
consent and not promising what cannot be delivered including the guarantee of anonymity.
He mentioned that standards will
probably be developed as practical guidelines to help us.
Family Finder (How to Succeed with atDNA) by Jim Bartlett
Jim Bartlett simplified the process of finding common
ancestors for autosomal DNA in four steps.
His steps:
1. Get Ready by developing a robust Ancestral
Tree and a standard email message
2. Communicate by sharing your lineage with
every match and determine the common ancestors
3. Use a spreadsheet to track matches and
segments
4. Triangulate three or more matches
To see my version of this, view my Dublin presentation at
BTOP (Back to Our Past) entitled: Emily Aulicino - Who’s Your Cousin? atDNA
Knows! at http://tinyurl.com/lz4u773
Discovering and Verifying your Ancestry using Family Finder
by Dr. Tim Janzen
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5-6 cM can be 50% IBD
7-8 cm can be 50% IBD
11-12cM you see very little if any
IBS (Identical by State*)
*IBS segments are segments that are handed down for
generations unmixed or segments
which are too common in a haplogroup. Both situations make it difficult to impossible to determine a common ancestor.
Y-DNA Marker Tables, Mutation Graphs and Ancestral Trees:
Useful Techniques for Family Genealogy by Robert Barber
Robert Baber had an excellent statement in his
presentation: Our ancestors never
completely died. They continue to live
in our DNA.
He focused
on building a mutational graph and converting it to a genealogical tree. In order to do so you must know the common
ancestor at the top and understand the mutation rates of the specific markers.
ISOGG Meeting
Katherine Borges, director of ISOGG, gave a historical view of the organization and presented Bennett and Max with a plaque of appreciation for their work over the last ten years.
Y-Tree tidbits
ISOGG tree is in academia, and it is very apparent that Alice'a Crew is doing it right!
- Over two million hits in six months
- Most viewed pages were the SNP Index and Haplogroups R, I, E, N, J, and G
- The tree was viewed from all continents and by universities and genetic laboratories.
FTDNA News
Big Y Predictions for the future
- New products like the Deep Clade 2.0 panel will be made possible by Y-chromosome sequencing and research
- Read lengths could improve: Illumina is migrating the HiSeq platform to 250bp (base pairs) reads and there are plans to grow to 40bp reads.
- Technologies such as PacBio and Oxford Naopore promise read length in 1 to 10 kb range
- Eventually it will make sense to sequence entire genomes instead of the Y-chromosome.
Deep Clade tests
As it is becoming impossible to predict haplogroups even
with a Y-111 and especially for some R haplogroups, new Deep Clade panels will
be constructed by those working with the haplogroups. These panels can contain 50-60 SNPs and will
be priced very reasonably at $1-$1.50 per SNP. Bennett stated that there could
possibly 6 Deep Clades for R and the current focus is on building a SNP panel
for R-M222. Haplogroup administrators
can formulate their list and submit it to FTDNA so please contact FTDNA with
your list of suggestions for a Deep Clade SNP panel. This will be so much
easier and cheaper than selecting individual SNPs to determine more detailed
haplogroups! YEAH!!!
Submit Suggestions
Family Tree DNA has established a link for your suggestions
at:
The maximum size for your suggestion is 1,000 characters.
Thank you FTDNA for this suggestion link. As I have compiled a list of administrators' requests for the past two years and submitted them to the company, this releases me from my self-appointed quest! Listening to the customer's needs (including administrators) is the best thing a company can do to keep growing. We all know that staff at FTDNA does not have the time nor experience to do what many of the administrators and testers do with all this DNA information. Many admins have created software to assist in finding matches as well as techniques to make the process more understandable for the tester.
DNA Census
FTDNA’s buzz word for the future is their goal of creating a
DNA Census and not a survey. By testing
everyone, a DNA census will be produced where spotty testing is only doing a
survey. To spur the interest they have reduced the autosomal transfers from
23andMe and AncestryDNA to $39 or by getting four people to look at
transferring, you get your transfer FREE.
Encourage everyone to test and those who have at other
companies to transfer their results to FTDNA.
In doing so, they will be able to fish in more ponds as each database is
different. This means more matches for everyone
and a higher likelihood of finding more recent cousins. What a great benefit for adoptees as well!
Free Test Result Transfers
Transfers from AncestryDNA and 23andMe (v3 chip) for either
$39 or for free. You can upload your
results to FTDNA and see your top 20 matches for free, but you only get the
first initial and surname. If you pay
$39 you can see your matches and their emails.
However, If you recruit four other people to transfer their test
results, whether they actually pay the $39 fee or not, your upload will be free. See: https://www.familytreedna.com/AutosomalTransfer
Searchable Family Trees
Another feature this year is a new version of
the Gedcom (family trees). The reason for doing so is to implement a new search
feature which will allow a person to search all public trees. I have personally found common ancestors in
the past by using the Gedcoms so this will be a great feature if more people
upload their data. You do not have to have a software program which creates a Gedcom; you can input the information on your family directly on the site. This means, of course, that you can
change, correct, add or delete information without uploading a new tree. YEAH!
Group Project Email Lists
A function entitled myGroups will allow contact within group
projects. At this point the feature is
designed for use by project administrators and their testers for particular
projects. I typically run email lists
for any tester in my individual projects including men who are connected to
the line but who cannot test due to a different surname and women who are related
to the surname, but, of course, cannot do a Y-chromosome test so I am not sure
how this will improve my particular situation, but it does allow testers to
carry on a dialogue which would be of interest to many in the project. The Alpha testing for this will begin
shortly, and FTDNA is looking for volunteers to test it and help remove any
bugs. Just contact FTDNA if you are
interested.
Family Tree DNA has three goals for next year:
1. Customer service and feedback
2. Listening to citizen scientists and group administrators
3. New products and features to make genetic genealogy
better for genealogists
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