Saturday, October 29, 2022

Genealogical DNA Analysis Tool (GDAT) - Part 2: Genetic Tools

  

This post is the second in a series developed to support the Genealogical DNA Analysis Tool (GDAT) User Group at the Society of Australian Genealogists (SAG).  It does not replace the extensive user guide and help video tutorials already developed by the GDAT team.  Members of the User Group should always consult those resources first.

You can access Part 1 by clicking on the link below, or the user guide for more specific information.

* Part 1: Getting Started

GDAT User Guide.


After setting up and importing your data you will want to start exploring the genetic tools within GDAT.  Depending on what data you have imported and from where, will determine the results that will be available in GDAT under each of the tools.  Remember GDAT is a database, using loaded DNA segment and pedigree information.  Whilst it has a triangulation feature, unless you have loaded the relevant ICW and triangulation reports it cannot provide a result.  Be conscious of when your GDAT system can/cannot provide this, it may not be possible for all DNA sources at all times.  Again, be aware that the third party tools for extracting this information are constantly subject to change.



DNA Research Methodology

To get the most out of your DNA results you need to apply the DNA Research Methodology, first published in 2021.  GDAT caters for working on both sides of the DNA Framework:

* Broadly - via Total cMs (F8) and tree triangulation; or

* Specifically - by chromosome (F7) using both segment triangulation and tree triangulation.  It is at the segment level that GDAT provides the most benefit.




Identifying shared ancestors via tree triangulation requires work.  You need to build out your own tree to at least 5th great grandparents, where possible.  In working with your DNA matches you will often need to also need to build out their trees and analyse the results to identify the shared ancestors.

Always work on your largest matches first.  When using the broad approach we focus on shared matches and clusters to identify the common ancestor.  Past 2nd great grandparents we utilise the specific approach using chromosome analysis to identify triangulated segments and groups.  Whether you are working with shared match clusters or triangulated groups, the methodology is the same to identify the common ancestor through tree triangulation. 

When there are no privacy concerns (particularly people who were born over 100 years ago), don't hide all that extra research in private trees - add them to a 'free' one world tree such as Wikitree to assist other researchers.  


Relevant Workspaces and Tools

As you work with the genetic tools you will be predominately working in the following three GDAT workspaces.  When you first start using GDAT it can be difficult to navigate the site and to be clear about the different perspectives you need to apply when working in each of these areas.  

  1. Relative - views relevant to your DNA matches;
  2. Profile - views relevant to people whose DNA you are monitoring;
  3. MRCA - tools to assist your research.
Make sure you know whether you are looking at something from the point of view of your DNA match (Relative) or from the perspective of the DNA Tester whose results you are monitoring (Profile).  

To work effectively, it is also critical that you understand and can apply, chromosome analysis theories when using each tool.  In particular:
  • Overlapping segments;
  • In common with (ICW) on the same segment;
  • Triangulation - what it is and when it shows data on GDAT.

The function keys in GDAT are very useful for navigation within the database.  The most useful functions for genetic analysis are:
  • F8 - Relative List: This page is best for viewing all matches by total cMs.  It also has many useful search and filtering functions; 


  • F1 - Relative Page:  This is where all the data about your DNA match (Relative) is stored.  It has an extensive notes field and quick links to DNA match pages, pedigrees and email;


 


  • F7 - Chromosome Browser: There is a separate chromosome page for each of the 23 chromosomes for every profile.  This is where you identify matches who may belong to the same shared ancestor group.  It can be sorted and filtered in different ways;


  • F4 - DNA Comparison Page: if you have loaded sufficient data, this is the engine room for your analysis.  You can often make decisions about matches without the need to go back and forth to the DNA testing site, saving research time.



Lastly, the chromosome analysis view is aimed at helping identify gaps and identify areas for further research.  It is most useful when you have been working with GDAT for a while.  When you first start there will be limited information in this view.




To get help:

* Make sure you first consult the extensive GDAT User Guide;

* Join the Facebook Group for GDAT and search the site to see if the question has been asked before.  If not, ask the question there;

* SAG members can join the 'private' SAG GDAT User Group on Facebook for general collaboration between members.


Remember, as you work with the software:

* Back up regularly (under File);

* Use the available Help resources (under Help);

* If imports or views aren't behaving as you would expect, you probably need to adjust some of the defaults (under Preferences)

* Keep notes, one of the great features of GDAT is being able to easily pick up where you left off last time!


Finally....

As we always say, GDAT is a complicated product, but we are dealing with a complicated subject matter.  Understanding how to use the product will take time and if you don't understand the principles of chromosome analysis then you will struggle mastering it.  

Follow the 'Research Methodology'.  Be proficient in applying the broad approach and use that first.  Then move on to the specific approach utilising the more complex chromosome analysis techniques that GDAT is able to manage so well.


Veronica Williams
GDAT Group Convenor
29th October 2022