Dienekes released a new version of DIYDodecad, which adds the ability to analyze your raw data by chromosome, segment, or specified region. The time required to do the more finely-grained analysis is greater than doing the genome-wide analysis. My MacBook (running Windows XP
) takes 10-15 minutes to do a genome-wide run (the original mode), but almost 45 minutes to do a by-segment run, with his suggested parameters.
The result is a text file giving the percentage of the 12 Dodecad ancestral components for each 500 SNP segment. Then, using the newly included R script, paint_byseg.r, you can create graphs from your results. This is similar analysis to the chromosome diagrams from Dr McDonald, but not quite as pretty. Dienekes warns that an entire chromosome graph with all 12 components can be messy, so there are options to graph shorter segments, or only the top ancestral components. To illustrate what they look like, I attached the plots from my chromosome 6:
I foresee this being useful in conjunction with FTDNA's chromosome browser. For example, if a few of my matches and I share a segment on one chromosome, I could check that segment with DIYDodecad 2.0 and see what the ancestral components are. It may help narrow down which ancestors we should concentrate our research on to find a common ancestor. Also, there are probably better ways to visualize the results of this analysis. Some enterprising individual could create a script to plot chromosome diagrams like Dr McDonald's, or some novel graphic nobody's thought of yet.

The result is a text file giving the percentage of the 12 Dodecad ancestral components for each 500 SNP segment. Then, using the newly included R script, paint_byseg.r, you can create graphs from your results. This is similar analysis to the chromosome diagrams from Dr McDonald, but not quite as pretty. Dienekes warns that an entire chromosome graph with all 12 components can be messy, so there are options to graph shorter segments, or only the top ancestral components. To illustrate what they look like, I attached the plots from my chromosome 6:
- 6-all.png shows all 12 components, and is rather messy.
- 6.3.png shows only the top 3. It is much easier to read, but in this case, the top 3 weren't enough to show the majority "West Asian" component from 80-100 Mb, and significant "South Asian" admixture from 70-80 Mb.
- 6-6.png shows only the top 6, which includes enough to correct the deficiencies in the top 3 graph, but it's still mostly readable. This seems to be the best compromise; with 7 or more, some of the colors start getting difficult to distinguish from each other.
I foresee this being useful in conjunction with FTDNA's chromosome browser. For example, if a few of my matches and I share a segment on one chromosome, I could check that segment with DIYDodecad 2.0 and see what the ancestral components are. It may help narrow down which ancestors we should concentrate our research on to find a common ancestor. Also, there are probably better ways to visualize the results of this analysis. Some enterprising individual could create a script to plot chromosome diagrams like Dr McDonald's, or some novel graphic nobody's thought of yet.
Comment