Ancient DNA Calculator using Merged-Raw Data

Jovialis

Jovialis

Advisor
Messages
9,408
Reaction score
6,066
Points
113
Ethnic group
Italian
Y-DNA haplogroup
R-PF7566 (R-Y227216)
mtDNA haplogroup
H6a1b7
[TABLE="width: 488"]
[TR]
[TD]Ancient DNA[/TD]
[TD="align: right"]Total Shared DNA[/TD]
[TD="align: right"]Compound Segments[/TD]
[/TR]
[TR]
[TD]Ajvide 58[/TD]
[TD="align: right"]2.77%[/TD]
[TD="align: right"]0.57%[/TD]
[/TR]
[TR]
[TD]Altai Neanderthal[/TD]
[TD="align: right"]1.40%[/TD]
[TD="align: right"]0.20%[/TD]
[/TR]
[TR]
[TD]Australian Aboriginal[/TD]
[TD="align: right"]7.48%[/TD]
[TD="align: right"]1.19%[/TD]
[/TR]
[TR]
[TD]Bot 15[/TD]
[TD="align: right"]7.22%[/TD]
[TD="align: right"]1.06%[/TD]
[/TR]
[TR]
[TD]Bot 17[/TD]
[TD="align: right"]5.85%[/TD]
[TD="align: right"]1.03%[/TD]
[/TR]
[TR]
[TD]BR1[/TD]
[TD="align: right"]7.33%[/TD]
[TD="align: right"]1.92%[/TD]
[/TR]
[TR]
[TD]BR2[/TD]
[TD="align: right"]33.86%[/TD]
[TD="align: right"]23.74%[/TD]
[/TR]
[TR]
[TD]Clovis Anzick-1[/TD]
[TD="align: right"]22.47%[/TD]
[TD="align: right"]9.78%[/TD]
[/TR]
[TR]
[TD]CO1[/TD]
[TD="align: right"]8.97%[/TD]
[TD="align: right"]2.46%[/TD]
[/TR]
[TR]
[TD]Denisova[/TD]
[TD="align: right"]1.09%[/TD]
[TD="align: right"]0.16%[/TD]
[/TR]
[TR]
[TD]Gökhem2[/TD]
[TD="align: right"]4.19%[/TD]
[TD="align: right"]0.48%[/TD]
[/TR]
[TR]
[TD]Hinxton-1[/TD]
[TD="align: right"]1.82%[/TD]
[TD="align: right"]0.06%[/TD]
[/TR]
[TR]
[TD]Hinxton-2[/TD]
[TD="align: right"]2.38%[/TD]
[TD="align: right"]0.17%[/TD]
[/TR]
[TR]
[TD]Hinxton-3[/TD]
[TD="align: right"]3.23%[/TD]
[TD="align: right"]0.34%[/TD]
[/TR]
[TR]
[TD]Hinxton-4[/TD]
[TD="align: right"]5.42%[/TD]
[TD="align: right"]0.83%[/TD]
[/TR]
[TR]
[TD]Hinxton-5[/TD]
[TD="align: right"]2.01%[/TD]
[TD="align: right"]0.03%[/TD]
[/TR]
[TR]
[TD]IR1[/TD]
[TD="align: right"]7.96%[/TD]
[TD="align: right"]2.65%[/TD]
[/TR]
[TR]
[TD]KO1[/TD]
[TD="align: right"]8.36%[/TD]
[TD="align: right"]2.38%[/TD]
[/TR]
[TR]
[TD]Kostenki 14[/TD]
[TD="align: right"]13.08%[/TD]
[TD="align: right"]5.02%[/TD]
[/TR]
[TR]
[TD]La Braña Arintero[/TD]
[TD="align: right"]8.98%[/TD]
[TD="align: right"]2.21%[/TD]
[/TR]
[TR]
[TD]Linearbandkeramik[/TD]
[TD="align: right"]32.81%[/TD]
[TD="align: right"]18.77%[/TD]
[/TR]
[TR]
[TD]Loschbour[/TD]
[TD="align: right"]26.39%[/TD]
[TD="align: right"]13.55%[/TD]
[/TR]
[TR]
[TD]Mal'ta[/TD]
[TD="align: right"]6.48%[/TD]
[TD="align: right"]1.52%[/TD]
[/TR]
[TR]
[TD]Motala12[/TD]
[TD="align: right"]11.76%[/TD]
[TD="align: right"]3.54%[/TD]
[/TR]
[TR]
[TD]NE1[/TD]
[TD="align: right"]33.76%[/TD]
[TD="align: right"]22.58%[/TD]
[/TR]
[TR]
[TD]NE5[/TD]
[TD="align: right"]6.84%[/TD]
[TD="align: right"]1.33%[/TD]
[/TR]
[TR]
[TD]NE6[/TD]
[TD="align: right"]8.48%[/TD]
[TD="align: right"]2.15%[/TD]
[/TR]
[TR]
[TD]NE7[/TD]
[TD="align: right"]8.62%[/TD]
[TD="align: right"]2.16%[/TD]
[/TR]
[TR]
[TD]Paleo-Eskimo[/TD]
[TD="align: right"]9.24%[/TD]
[TD="align: right"]1.01%[/TD]
[/TR]
[TR]
[TD]RISE00[/TD]
[TD="align: right"]5.21%[/TD]
[TD="align: right"]1.19%[/TD]
[/TR]
[TR]
[TD]RISE150[/TD]
[TD="align: right"]12.55%[/TD]
[TD="align: right"]4.53%[/TD]
[/TR]
[TR]
[TD]RISE174[/TD]
[TD="align: right"]12.17%[/TD]
[TD="align: right"]4.74%[/TD]
[/TR]
[TR]
[TD]RISE395[/TD]
[TD="align: right"]13.58%[/TD]
[TD="align: right"]5.08%[/TD]
[/TR]
[TR]
[TD]RISE479[/TD]
[TD="align: right"]9.77%[/TD]
[TD="align: right"]2.80%[/TD]
[/TR]
[TR]
[TD]RISE493[/TD]
[TD="align: right"]24.11%[/TD]
[TD="align: right"]11.98%[/TD]
[/TR]
[TR]
[TD]RISE495[/TD]
[TD="align: right"]17.56%[/TD]
[TD="align: right"]7.20%[/TD]
[/TR]
[TR]
[TD]RISE496[/TD]
[TD="align: right"]13.09%[/TD]
[TD="align: right"]4.16%[/TD]
[/TR]
[TR]
[TD]RISE497[/TD]
[TD="align: right"]20.79%[/TD]
[TD="align: right"]7.66%[/TD]
[/TR]
[TR]
[TD]RISE499[/TD]
[TD="align: right"]8.06%[/TD]
[TD="align: right"]2.09%[/TD]
[/TR]
[TR]
[TD]RISE500[/TD]
[TD="align: right"]11.10%[/TD]
[TD="align: right"]3.02%[/TD]
[/TR]
[TR]
[TD]RISE502[/TD]
[TD="align: right"]8.00%[/TD]
[TD="align: right"]1.66%[/TD]
[/TR]
[TR]
[TD]RISE503[/TD]
[TD="align: right"]6.58%[/TD]
[TD="align: right"]1.65%[/TD]
[/TR]
[TR]
[TD]RISE504[/TD]
[TD="align: right"]7.98%[/TD]
[TD="align: right"]1.69%[/TD]
[/TR]
[TR]
[TD]RISE505[/TD]
[TD="align: right"]22.87%[/TD]
[TD="align: right"]10.87%[/TD]
[/TR]
[TR]
[TD]RISE509[/TD]
[TD="align: right"]7.29%[/TD]
[TD="align: right"]1.42%[/TD]
[/TR]
[TR]
[TD]RISE511[/TD]
[TD="align: right"]16.81%[/TD]
[TD="align: right"]7.05%[/TD]
[/TR]
[TR]
[TD]RISE523[/TD]
[TD="align: right"]13.33%[/TD]
[TD="align: right"]4.59%[/TD]
[/TR]
[TR]
[TD]RISE548[/TD]
[TD="align: right"]6.94%[/TD]
[TD="align: right"]1.45%[/TD]
[/TR]
[TR]
[TD]RISE552[/TD]
[TD="align: right"]13.17%[/TD]
[TD="align: right"]6.62%[/TD]
[/TR]
[TR]
[TD]RISE569[/TD]
[TD="align: right"]7.81%[/TD]
[TD="align: right"]2.20%[/TD]
[/TR]
[TR]
[TD]RISE577[/TD]
[TD="align: right"]7.22%[/TD]
[TD="align: right"]1.80%[/TD]
[/TR]
[TR]
[TD]RISE601[/TD]
[TD="align: right"]4.04%[/TD]
[TD="align: right"]0.35%[/TD]
[/TR]
[TR]
[TD]RISE602[/TD]
[TD="align: right"]4.53%[/TD]
[TD="align: right"]0.49%[/TD]
[/TR]
[TR]
[TD]RISE94[/TD]
[TD="align: right"]5.71%[/TD]
[TD="align: right"]1.26%[/TD]
[/TR]
[TR]
[TD]RISE97[/TD]
[TD="align: right"]5.57%[/TD]
[TD="align: right"]0.84%[/TD]
[/TR]
[TR]
[TD]RISE98[/TD]
[TD="align: right"]21.95%[/TD]
[TD="align: right"]11.01%[/TD]
[/TR]
[TR]
[TD]Ust-Ishim[/TD]
[TD="align: right"]27.86%[/TD]
[TD="align: right"]17.09%[/TD]
[/TR]
[TR]
[TD]Vi33.16 Neanderthal[/TD]
[TD="align: right"]0.64%[/TD]
[TD="align: right"]0.00%[/TD]
[/TR]
[TR]
[TD]Vi33.25 Neanderthal[/TD]
[TD="align: right"]0.67%[/TD]
[TD="align: right"]0.00%[/TD]
[/TR]
[TR]
[TD]Vi33.26 Neanderthal[/TD]
[TD="align: right"]1.07%[/TD]
[TD="align: right"]0.00%[/TD]
[/TR]
[/TABLE]

BR2 and NE1 are my highest percentages of similarity, which makes sense:

X61fEEf.png


https://www.pnas.org/content/113/2/368

I combined my 23andme (V5), AncestryDNA, LivingDNA, and Genographic Project Helix 2.0 raw data into one file of 1,200,808 SNPs, using DNAkit Studio. Above are results from an ancient DNA calculator that Wheal posted on here a while ago. Utilizing the combined raw data made a significant difference with this calculator, compared to using the 650k SNPs from 23andme V5. However, I also uploaded the combined raw data to Gedmatch Genesis, and observed only a slight difference in the results. I had even converted the 1.2 million SNPs in DIYDodecad format, for a Dodecad K12b run; and the results were mostly similar to the 650k SNP runs.

If you're interested in combining your raw data, here is where I found the tool:

https://wilhelmhgenealogy.wordpress.com/dna-kit-studio/

As for the Ancient DNA calculator, it is found here:

http://www.y-str.org/2014/12/ancient-calculator.html

Here is the original thread on the ancient DNA calculator:

https://www.eupedia.com/forum/threads/36704-On-line-calculator-from-Genetic-Geneology-Tools-blog
 
Last edited:
[TABLE="width: 0"]
[TR]
[TD="bgcolor: #fafafa"]Ancient DNA[/TD]
[TD="bgcolor: #fafafa"]Total Shared DNA[/TD]
[TD="bgcolor: #fafafa"]Compound Segments[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]BR2[/TD]
[TD="bgcolor: #FAFAFA, align: right"]33.86%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]23.74%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]NE1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]33.76%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]22.58%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Linearbandkeramik[/TD]
[TD="bgcolor: #FAFAFA, align: right"]32.81%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]18.77%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Ust-Ishim[/TD]
[TD="bgcolor: #FAFAFA, align: right"]27.86%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]17.09%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Loschbour[/TD]
[TD="bgcolor: #FAFAFA, align: right"]26.39%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]13.55%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE493[/TD]
[TD="bgcolor: #FAFAFA, align: right"]24.11%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]11.98%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE505[/TD]
[TD="bgcolor: #FAFAFA, align: right"]22.87%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]10.87%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Clovis Anzick-1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]22.47%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]9.78%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE98[/TD]
[TD="bgcolor: #FAFAFA, align: right"]21.95%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]11.01%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE497[/TD]
[TD="bgcolor: #FAFAFA, align: right"]20.79%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.66%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE495[/TD]
[TD="bgcolor: #FAFAFA, align: right"]17.56%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.20%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE511[/TD]
[TD="bgcolor: #FAFAFA, align: right"]16.81%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.05%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE395[/TD]
[TD="bgcolor: #FAFAFA, align: right"]13.58%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.08%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE523[/TD]
[TD="bgcolor: #FAFAFA, align: right"]13.33%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.59%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE552[/TD]
[TD="bgcolor: #FAFAFA, align: right"]13.17%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]6.62%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE496[/TD]
[TD="bgcolor: #FAFAFA, align: right"]13.09%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.16%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Kostenki 14[/TD]
[TD="bgcolor: #FAFAFA, align: right"]13.08%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.02%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE150[/TD]
[TD="bgcolor: #FAFAFA, align: right"]12.55%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.53%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE174[/TD]
[TD="bgcolor: #FAFAFA, align: right"]12.17%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.74%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Motala12[/TD]
[TD="bgcolor: #FAFAFA, align: right"]11.76%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]3.54%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE500[/TD]
[TD="bgcolor: #FAFAFA, align: right"]11.10%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]3.02%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE479[/TD]
[TD="bgcolor: #FAFAFA, align: right"]9.77%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.80%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Paleo-Eskimo[/TD]
[TD="bgcolor: #FAFAFA, align: right"]9.24%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.01%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]La Braña Arintero[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.98%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.21%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]CO1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.97%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.46%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]NE7[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.62%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.16%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]NE6[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.48%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.15%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]KO1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.36%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.38%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE499[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.06%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.09%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE502[/TD]
[TD="bgcolor: #FAFAFA, align: right"]8.00%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.66%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE504[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.98%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.69%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]IR1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.96%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.65%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE569[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.81%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.20%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Australian Aboriginal[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.48%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.19%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]BR1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.33%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.92%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE509[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.29%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.42%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Bot 15[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.22%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.06%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE577[/TD]
[TD="bgcolor: #FAFAFA, align: right"]7.22%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.80%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE548[/TD]
[TD="bgcolor: #FAFAFA, align: right"]6.94%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.45%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]NE5[/TD]
[TD="bgcolor: #FAFAFA, align: right"]6.84%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.33%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE503[/TD]
[TD="bgcolor: #FAFAFA, align: right"]6.58%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.65%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Mal'ta[/TD]
[TD="bgcolor: #FAFAFA, align: right"]6.48%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.52%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Bot 17[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.85%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.03%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE94[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.71%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.26%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE97[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.57%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.84%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Hinxton-4[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.42%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.83%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE00[/TD]
[TD="bgcolor: #FAFAFA, align: right"]5.21%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.19%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE602[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.53%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.49%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Gökhem2[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.19%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.48%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]RISE601[/TD]
[TD="bgcolor: #FAFAFA, align: right"]4.04%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.35%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Hinxton-3[/TD]
[TD="bgcolor: #FAFAFA, align: right"]3.23%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.34%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Ajvide 58[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.77%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.57%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Hinxton-2[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.38%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.17%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Hinxton-5[/TD]
[TD="bgcolor: #FAFAFA, align: right"]2.01%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.03%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Hinxton-1[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.82%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.06%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Altai Neanderthal[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.40%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.20%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Denisova[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.09%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.16%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Vi33.26 Neanderthal[/TD]
[TD="bgcolor: #FAFAFA, align: right"]1.07%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.00%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Vi33.25 Neanderthal[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.67%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.00%[/TD]
[/TR]
[TR]
[TD="bgcolor: #FAFAFA"]Vi33.16 Neanderthal[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.64%[/TD]
[TD="bgcolor: #FAFAFA, align: right"]0.00%[/TD]
[/TR]
[/TABLE]

For better clarity, here are the percentages, highest-to-lowest for Total Shared DNA.
 

Merged Megafile, same RawData mix as Above. (1.201.500 SNPs)

[TABLE="width: 437"]
[TR]
[TD]ANCIENT DNA[/TD]
[TD]Total Shar. DNA[/TD]
[TD]Comp. Seg.[/TD]
[/TR]
[TR]
[TD]Linearbandkeramik[/TD]
[TD]33.12[/TD]
[TD]19.09[/TD]
[/TR]
[TR]
[TD]BR2[/TD]
[TD]32.82[/TD]
[TD]19.29[/TD]
[/TR]
[TR]
[TD]NE1[/TD]
[TD]32.42[/TD]
[TD]19.32[/TD]
[/TR]
[TR]
[TD]Ust-Ishim[/TD]
[TD]27.49[/TD]
[TD]14.80[/TD]
[/TR]
[TR]
[TD]Loschbour[/TD]
[TD]25.78[/TD]
[TD]12.82[/TD]
[/TR]
[TR]
[TD]RISE493[/TD]
[TD]23.45[/TD]
[TD]11.19[/TD]
[/TR]
[TR]
[TD]RISE505[/TD]
[TD]22.13[/TD]
[TD]9.79[/TD]
[/TR]
[TR]
[TD]Clovis Anzick-1[/TD]
[TD]21.80[/TD]
[TD]9.22[/TD]
[/TR]
[TR]
[TD]RISE98[/TD]
[TD]21.09[/TD]
[TD]9.27[/TD]
[/TR]
[TR]
[TD]RISE497[/TD]
[TD]19.08[/TD]
[TD]7.06[/TD]
[/TR]
[TR]
[TD]RISE511[/TD]
[TD]17.13[/TD]
[TD]6.07[/TD]
[/TR]
[TR]
[TD]RISE495[/TD]
[TD]16.69[/TD]
[TD]5.88[/TD]
[/TR]
[TR]
[TD]RISE496[/TD]
[TD]13.27[/TD]
[TD]4.61[/TD]
[/TR]
[TR]
[TD]RISE523[/TD]
[TD]12.92[/TD]
[TD]4.68[/TD]
[/TR]
[TR]
[TD]RISE174[/TD]
[TD]12.41[/TD]
[TD]4.96[/TD]
[/TR]
[TR]
[TD]RISE552[/TD]
[TD]12.09[/TD]
[TD]4.37[/TD]
[/TR]
[TR]
[TD]RISE150[/TD]
[TD]11.91[/TD]
[TD]4.80[/TD]
[/TR]
[TR]
[TD]RISE395[/TD]
[TD]11.89[/TD]
[TD]4.25[/TD]
[/TR]
[TR]
[TD]Kostenki 14[/TD]
[TD]11.60[/TD]
[TD]4.34[/TD]
[/TR]
[TR]
[TD]Motala12[/TD]
[TD]11.32[/TD]
[TD]3.62[/TD]
[/TR]
[TR]
[TD]RISE500[/TD]
[TD]9.88[/TD]
[TD]3.06[/TD]
[/TR]
[TR]
[TD]RISE479[/TD]
[TD]8.69[/TD]
[TD]2.48[/TD]
[/TR]
[TR]
[TD]La Braña Arintero[/TD]
[TD]8.55[/TD]
[TD]2.12[/TD]
[/TR]
[TR]
[TD]Paleo-Eskimo[/TD]
[TD]8.55[/TD]
[TD]1.39[/TD]
[/TR]
[TR]
[TD]RISE499[/TD]
[TD]7.86[/TD]
[TD]2.52[/TD]
[/TR]
[TR]
[TD]NE6[/TD]
[TD]7.71[/TD]
[TD]1.72[/TD]
[/TR]
[TR]
[TD]NE7[/TD]
[TD]7.68[/TD]
[TD]1.75[/TD]
[/TR]
[TR]
[TD]RISE577[/TD]
[TD]7.61[/TD]
[TD]2.20[/TD]
[/TR]
[TR]
[TD]IR1[/TD]
[TD]7.28[/TD]
[TD]1.40[/TD]
[/TR]
[TR]
[TD]KO1[/TD]
[TD]7.22[/TD]
[TD]1.98[/TD]
[/TR]
[TR]
[TD]RISE548[/TD]
[TD]7.19[/TD]
[TD]1.46[/TD]
[/TR]
[TR]
[TD]RISE502[/TD]
[TD]7.06[/TD]
[TD]1.58[/TD]
[/TR]
[TR]
[TD]NE5[/TD]
[TD]7.02[/TD]
[TD]2.18[/TD]
[/TR]
[TR]
[TD]RISE504[/TD]
[TD]7.01[/TD]
[TD]1.87[/TD]
[/TR]
[TR]
[TD]RISE503[/TD]
[TD]6.97[/TD]
[TD]1.84[/TD]
[/TR]
[TR]
[TD]CO1[/TD]
[TD]6.88[/TD]
[TD]1.73[/TD]
[/TR]
[TR]
[TD]RISE569[/TD]
[TD]6.81[/TD]
[TD]1.42[/TD]
[/TR]
[TR]
[TD]RISE509[/TD]
[TD]6.57[/TD]
[TD]1.51[/TD]
[/TR]
[TR]
[TD]BR1[/TD]
[TD]6.36[/TD]
[TD]0.91[/TD]
[/TR]
[TR]
[TD]RISE94[/TD]
[TD]6.33[/TD]
[TD]1.21[/TD]
[/TR]
[TR]
[TD]Mal'ta[/TD]
[TD]5.96[/TD]
[TD]1.21[/TD]
[/TR]
[TR]
[TD]RISE00[/TD]
[TD]5.84[/TD]
[TD]1.50[/TD]
[/TR]
[TR]
[TD]Bot 15[/TD]
[TD]5.53[/TD]
[TD]0.79[/TD]
[/TR]
[TR]
[TD]Bot 17[/TD]
[TD]5.51[/TD]
[TD]0.88[/TD]
[/TR]
[TR]
[TD]RISE97[/TD]
[TD]5.49[/TD]
[TD]0.95[/TD]
[/TR]
[TR]
[TD]Australian Aboriginal[/TD]
[TD]5.39[/TD]
[TD]0.83[/TD]
[/TR]
[TR]
[TD]Hinxton-4[/TD]
[TD]5.04[/TD]
[TD]0.74[/TD]
[/TR]
[TR]
[TD]RISE602[/TD]
[TD]4.34[/TD]
[TD]0.70[/TD]
[/TR]
[TR]
[TD]RISE601[/TD]
[TD]3.81[/TD]
[TD]0.44[/TD]
[/TR]
[TR]
[TD]Gökhem2[/TD]
[TD]3.51[/TD]
[TD]0.14[/TD]
[/TR]
[TR]
[TD]Hinxton-2[/TD]
[TD]2.56[/TD]
[TD]0.08[/TD]
[/TR]
[TR]
[TD]Ajvide 58[/TD]
[TD]2.48[/TD]
[TD]0.18[/TD]
[/TR]
[TR]
[TD]Hinxton-3[/TD]
[TD]2.36[/TD]
[TD]0.43[/TD]
[/TR]
[TR]
[TD]Hinxton-5[/TD]
[TD]1.88[/TD]
[TD]0.04[/TD]
[/TR]
[TR]
[TD]Hinxton-1[/TD]
[TD]1.81[/TD]
[TD]0.27[/TD]
[/TR]
[TR]
[TD]Altai Neanderthal[/TD]
[TD]1.48[/TD]
[TD]0.23[/TD]
[/TR]
[TR]
[TD]Denisova[/TD]
[TD]0.97[/TD]
[TD]0.03[/TD]
[/TR]
[TR]
[TD]Vi33.26 Neanderthal[/TD]
[TD]0.61[/TD]
[TD]0.11[/TD]
[/TR]
[TR]
[TD]Vi33.25 Neanderthal[/TD]
[TD]0.40[/TD]
[TD]0.00[/TD]
[/TR]
[TR]
[TD]Vi33.16 Neanderthal[/TD]
[TD]0.37[/TD]
[TD]0.08[/TD]
[/TR]
[/TABLE]


Ancient DNA Places of Origin
http://www.y-str.org/p/ancient-dna.html?m=1
 
Last edited:
Salento said:

Merged Megafile, same RawData mix as Above. (1.201.500 SNPs)

[TABLE="width: 437"]
[TR]
[TD]ANCIENT DNA[/TD]
[TD]Total Shar. DNA[/TD]
[TD]Comp. Seg.[/TD]
[/TR]
[TR]
[TD]Linearbandkeramik[/TD]
[TD]33.12[/TD]
[TD]19.09[/TD]
[/TR]
[TR]
[TD]BR2[/TD]
[TD]32.82[/TD]
[TD]19.29[/TD]
[/TR]
[TR]
[TD]NE1[/TD]
[TD]32.42[/TD]
[TD]19.32[/TD]
[/TR]
[TR]
[TD]Ust-Ishim[/TD]
[TD]27.49[/TD]
[TD]14.80[/TD]
[/TR]
[TR]
[TD]Loschbour[/TD]
[TD]25.78[/TD]
[TD]12.82[/TD]
[/TR]
[TR]
[TD]RISE493[/TD]
[TD]23.45[/TD]
[TD]11.19[/TD]
[/TR]
[TR]
[TD]RISE505[/TD]
[TD]22.13[/TD]
[TD]9.79[/TD]
[/TR]
[TR]
[TD]Clovis Anzick-1[/TD]
[TD]21.80[/TD]
[TD]9.22[/TD]
[/TR]
[TR]
[TD]RISE98[/TD]
[TD]21.09[/TD]
[TD]9.27[/TD]
[/TR]
[TR]
[TD]RISE497[/TD]
[TD]19.08[/TD]
[TD]7.06[/TD]
[/TR]
[TR]
[TD]RISE511[/TD]
[TD]17.13[/TD]
[TD]6.07[/TD]
[/TR]
[TR]
[TD]RISE495[/TD]
[TD]16.69[/TD]
[TD]5.88[/TD]
[/TR]
[TR]
[TD]RISE496[/TD]
[TD]13.27[/TD]
[TD]4.61[/TD]
[/TR]
[TR]
[TD]RISE523[/TD]
[TD]12.92[/TD]
[TD]4.68[/TD]
[/TR]
[TR]
[TD]RISE174[/TD]
[TD]12.41[/TD]
[TD]4.96[/TD]
[/TR]
[TR]
[TD]RISE552[/TD]
[TD]12.09[/TD]
[TD]4.37[/TD]
[/TR]
[TR]
[TD]RISE150[/TD]
[TD]11.91[/TD]
[TD]4.80[/TD]
[/TR]
[TR]
[TD]RISE395[/TD]
[TD]11.89[/TD]
[TD]4.25[/TD]
[/TR]
[TR]
[TD]Kostenki 14[/TD]
[TD]11.60[/TD]
[TD]4.34[/TD]
[/TR]
[TR]
[TD]Motala12[/TD]
[TD]11.32[/TD]
[TD]3.62[/TD]
[/TR]
[TR]
[TD]RISE500[/TD]
[TD]9.88[/TD]
[TD]3.06[/TD]
[/TR]
[TR]
[TD]RISE479[/TD]
[TD]8.69[/TD]
[TD]2.48[/TD]
[/TR]
[TR]
[TD]La Braña Arintero[/TD]
[TD]8.55[/TD]
[TD]2.12[/TD]
[/TR]
[TR]
[TD]Paleo-Eskimo[/TD]
[TD]8.55[/TD]
[TD]1.39[/TD]
[/TR]
[TR]
[TD]RISE499[/TD]
[TD]7.86[/TD]
[TD]2.52[/TD]
[/TR]
[TR]
[TD]NE6[/TD]
[TD]7.71[/TD]
[TD]1.72[/TD]
[/TR]
[TR]
[TD]NE7[/TD]
[TD]7.68[/TD]
[TD]1.75[/TD]
[/TR]
[TR]
[TD]RISE577[/TD]
[TD]7.61[/TD]
[TD]2.20[/TD]
[/TR]
[TR]
[TD]IR1[/TD]
[TD]7.28[/TD]
[TD]1.40[/TD]
[/TR]
[TR]
[TD]KO1[/TD]
[TD]7.22[/TD]
[TD]1.98[/TD]
[/TR]
[TR]
[TD]RISE548[/TD]
[TD]7.19[/TD]
[TD]1.46[/TD]
[/TR]
[TR]
[TD]RISE502[/TD]
[TD]7.06[/TD]
[TD]1.58[/TD]
[/TR]
[TR]
[TD]NE5[/TD]
[TD]7.02[/TD]
[TD]2.18[/TD]
[/TR]
[TR]
[TD]RISE504[/TD]
[TD]7.01[/TD]
[TD]1.87[/TD]
[/TR]
[TR]
[TD]RISE503[/TD]
[TD]6.97[/TD]
[TD]1.84[/TD]
[/TR]
[TR]
[TD]CO1[/TD]
[TD]6.88[/TD]
[TD]1.73[/TD]
[/TR]
[TR]
[TD]RISE569[/TD]
[TD]6.81[/TD]
[TD]1.42[/TD]
[/TR]
[TR]
[TD]RISE509[/TD]
[TD]6.57[/TD]
[TD]1.51[/TD]
[/TR]
[TR]
[TD]BR1[/TD]
[TD]6.36[/TD]
[TD]0.91[/TD]
[/TR]
[TR]
[TD]RISE94[/TD]
[TD]6.33[/TD]
[TD]1.21[/TD]
[/TR]
[TR]
[TD]Mal'ta[/TD]
[TD]5.96[/TD]
[TD]1.21[/TD]
[/TR]
[TR]
[TD]RISE00[/TD]
[TD]5.84[/TD]
[TD]1.50[/TD]
[/TR]
[TR]
[TD]Bot 15[/TD]
[TD]5.53[/TD]
[TD]0.79[/TD]
[/TR]
[TR]
[TD]Bot 17[/TD]
[TD]5.51[/TD]
[TD]0.88[/TD]
[/TR]
[TR]
[TD]RISE97[/TD]
[TD]5.49[/TD]
[TD]0.95[/TD]
[/TR]
[TR]
[TD]Australian Aboriginal[/TD]
[TD]5.39[/TD]
[TD]0.83[/TD]
[/TR]
[TR]
[TD]Hinxton-4[/TD]
[TD]5.04[/TD]
[TD]0.74[/TD]
[/TR]
[TR]
[TD]RISE602[/TD]
[TD]4.34[/TD]
[TD]0.70[/TD]
[/TR]
[TR]
[TD]RISE601[/TD]
[TD]3.81[/TD]
[TD]0.44[/TD]
[/TR]
[TR]
[TD]Gökhem2[/TD]
[TD]3.51[/TD]
[TD]0.14[/TD]
[/TR]
[TR]
[TD]Hinxton-2[/TD]
[TD]2.56[/TD]
[TD]0.08[/TD]
[/TR]
[TR]
[TD]Ajvide 58[/TD]
[TD]2.48[/TD]
[TD]0.18[/TD]
[/TR]
[TR]
[TD]Hinxton-3[/TD]
[TD]2.36[/TD]
[TD]0.43[/TD]
[/TR]
[TR]
[TD]Hinxton-5[/TD]
[TD]1.88[/TD]
[TD]0.04[/TD]
[/TR]
[TR]
[TD]Hinxton-1[/TD]
[TD]1.81[/TD]
[TD]0.27[/TD]
[/TR]
[TR]
[TD]Altai Neanderthal[/TD]
[TD]1.48[/TD]
[TD]0.23[/TD]
[/TR]
[TR]
[TD]Denisova[/TD]
[TD]0.97[/TD]
[TD]0.03[/TD]
[/TR]
[TR]
[TD]Vi33.26 Neanderthal[/TD]
[TD]0.61[/TD]
[TD]0.11[/TD]
[/TR]
[TR]
[TD]Vi33.25 Neanderthal[/TD]
[TD]0.40[/TD]
[TD]0.00[/TD]
[/TR]
[TR]
[TD]Vi33.16 Neanderthal[/TD]
[TD]0.37[/TD]
[TD]0.08[/TD]
[/TR]
[/TABLE]


Ancient DNA Places of Origin
http://www.y-str.org/p/ancient-dna.html?m=1
Click to expand...

I did a one-to-one comparison between BR2 vs my old raw data, and my newly merged raw data, and saw slight improvements on Chromosomes 1, 15, 16, 17, and 22. There were less "Large gap between adjacent SNPs " lines in the validity of segments. I also noticed 166169 SNP were used in the old raw data, and 469849 were used in the merged data.
 
The magnitude of the results difference between my files is small, but the distance of the populations (@​) is closer with the Combine Files.

A comparison:

MDLP K11 - 4 Populations

23andme V5:
1 Armenia_MLBA + Bell_Beaker + British_Roman + Tyrolean_Iceman_EN @ 2.320581
2 Armenia_MLBA + Bell_Beaker + British_Roman + Europe_EN @ 2.441416
3 Armenia_LBA + Bell_Beaker + British_Roman + Hungary_EN @ 2.604989

Megafile:
1 Armenia_MLBA + Bell_Beaker + British_Roman + Salzmuende_MN @ 1.501243
2 Armenia_MLBA + Bell_Beaker + Levant_BA + Remedello_BA @ 1.564589
3 Armenia_Chalcolithic + Bell_Beaker + British_Roman + Hungary_CA @ 1.651155
 
[TABLE="width: 0"]
[TR]
[TD="bgcolor: #999999"]Raw Data Version[/TD]
[TD="bgcolor: #999999"]SNPs Used in Evaluation[/TD]
[TD="bgcolor: #999999"]Orcale 1st Single Population Sharing[/TD]
[TD="bgcolor: #999999"]Orcale-4 1st Single Population Sharing[/TD]
[/TR]
[TR]
[TD="bgcolor: #B7B7B7"]Merged Raw Data (DIYDodecad Format)[/TD]
[TD="align: right"]155327[/TD]
[TD]C_Italian @ 6.78[/TD]
[TD]C_Italian_Dodecad @ 7.297379[/TD]
[/TR]
[TR]
[TD="bgcolor: #B7B7B7"]Merged Raw Data (23andme Format)[/TD]
[TD="align: right"]154866[/TD]
[TD]C_Italian @ 6.85[/TD]
[TD]C_Italian_Dodecad @ 7.371545[/TD]
[/TR]
[TR]
[TD="bgcolor: #B7B7B7"]AncestryDNA[/TD]
[TD="align: right"]152095[/TD]
[TD]S_Italian_Sicilian & C_Italian @ 6.97[/TD]
[TD]C_Italian_Dodecad @ 7.504167[/TD]
[/TR]
[TR]
[TD="bgcolor: #B7B7B7"]Living DNA[/TD]
[TD="align: right"]47508[/TD]
[TD]Sicilian @ 4.39[/TD]
[TD]Sicilian_Dodecad @ 4.826463[/TD]
[/TR]
[TR]
[TD="bgcolor: #B7B7B7"]23andme (V5)[/TD]
[TD="align: right"]46844[/TD]
[TD]Sicilian @ 3.89[/TD]
[TD]Sicilian_Dodecad @ 4.251447[/TD]
[/TR]
[/TABLE]


Here are my oracle and oracle-4 1st single population approximations on Dodecad K12b, for each version of raw data I have. The merged raw data in DIYDodecad format used the most SNPs in the evaluation. Nevertheless, the difference is only minor.
 
1 S_Italian_Sicilian_Dodecad on both. (I only uploaded the 23v5 and the Combo, just so I can test it. I usually del...)

Up and down, the sum of your 5 result could average my 5 regional pop. sharing:

NjZtnZc.jpg








 
Salento said:
Ancient DNA Places of Origin
http://www.y-str.org/p/ancient-dna.html?m=1
Click to expand...

Interesting when running them through Gedmatch Genesis. For example, Denisova and Altai Neaderthal is considered overwhelmingly, or totally "Sub-Saharan African" in the calculators I've run it on. Goes to show the various components people are broken down into on gedmatch are essentially meaningless.

[TABLE="width: 100%"]
[TR]
[TH]Sample Name[/TH]
[TH]Sample Location[/TH]
[TH]GEDMatch[/TH]
[TH]Sex[/TH]
[TH]Y-DNA[/TH]
[TH]Mt-DNA[/TH]
[TH]Approx. Age by authors[/TH]
[TH]My Analysis or Comments[/TH]
[/TR]
[TR]
[TD]Altai Neanderthal[/TD]
[TD]Denisova Cave, Siberia[/TD]
[TD]F999902[/TD]
[TD]F[/TD]
[TD][/TD]
[TD][/TD]
[TD]50,000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Denisova[/TD]
[TD]Denisova Cave, Siberia[/TD]
[TD]F999903[/TD]
[TD]F[/TD]
[TD][/TD]
[TD][/TD]
[TD]30,000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Palaeo-Eskimo[/TD]
[TD]Qeqertarsuaq, Greenland[/TD]
[TD]F999906[/TD]
[TD]M[/TD]
[TD]Q1a[/TD]
[TD]D2a1[/TD]
[TD]4,000 years[/TD]
[TD]Palaeo-Eskimo 2000 BC DNA[/TD]
[/TR]
[TR]
[TD]Clovis-Anzick-1[/TD]
[TD]Montana, North America[/TD]
[TD]F999919[/TD]
[TD]M[/TD]
[TD]Q-Z780[/TD]
[TD]D4h3a[/TD]
[TD]12,500 years[/TD]
[TD]Matches Living people.[/TD]
[/TR]
[TR]
[TD]Mal’ta[/TD]
[TD]South - Central Siberia[/TD]
[TD]F999914[/TD]
[TD]M[/TD]
[TD]R[/TD]
[TD]U[/TD]
[TD]24,000 years[/TD]
[TD]Matches Living people on X Chromosome.[/TD]
[/TR]
[TR]
[TD]La Braña-Arintero[/TD]
[TD]León, Spain[/TD]
[TD]F999915[/TD]
[TD]M[/TD]
[TD]C-V183[/TD]
[TD]U5b2c1[/TD]
[TD]7,000 years[/TD]
[TD]Analyzing La Braña-Arintero Ancient DNA[/TD]
[/TR]
[TR]
[TD]Motala-12[/TD]
[TD]Östergötland, Sweden[/TD]
[TD]F999917[/TD]
[TD]M[/TD]
[TD]I-L460[/TD]
[TD]U2e1[/TD]
[TD]7,000 years[/TD]
[TD]My Analysis of Motala-12 ancient DNA[/TD]
[/TR]
[TR]
[TD]LBK[/TD]
[TD]Stuttgart, Germany[/TD]
[TD]F999916[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]T2c2[/TD]
[TD]7,500 years[/TD]
[TD]Matches Living people[/TD]
[/TR]
[TR]
[TD]Loschbour[/TD]
[TD] Loschbour, Luxembourg[/TD]
[TD]F999918[/TD]
[TD]M[/TD]
[TD]I-L460[/TD]
[TD]U5b1a[/TD]
[TD]8,000 years[/TD]
[TD]Matches Living people[/TD]
[/TR]
[TR]
[TD]Ajvide58[/TD]
[TD]Sweden[/TD]
[TD]F999924[/TD]
[TD]M[/TD]
[TD]I-CTS772[/TD]
[TD]U4d[/TD]
[TD]5000 years[/TD]
[TD]Ajvide58 DNA Analysis[/TD]
[/TR]
[TR]
[TD]Gökhem2[/TD]
[TD]Sweden[/TD]
[TD]F999934[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]H1c[/TD]
[TD]5000 years[/TD]
[TD]Gökhem2 Ancient DNA Analysis[/TD]
[/TR]
[TR]
[TD]Hinxton-2[/TD]
[TD]Cambridgshire, UK[/TD]
[TD]F999921[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]H2a2b1[/TD]
[TD]1300 years[/TD]
[TD]Hinxton-2 Analysis[/TD]
[/TR]
[TR]
[TD]Hinxton-3[/TD]
[TD]Cambridgshire, UK[/TD]
[TD]F999922[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]K1a4a1a2b[/TD]
[TD]1300 years[/TD]
[TD]Hinxton-3 Analysis[/TD]
[/TR]
[TR]
[TD]Hinxton-4[/TD]
[TD]Cambridgshire, UK[/TD]
[TD]F999925[/TD]
[TD]M[/TD]
[TD]R-DF25[/TD]
[TD]H1ag1[/TD]
[TD]2000 years[/TD]
[TD]Hinxton-4 has X-Matches with living people[/TD]
[/TR]
[TR]
[TD]Hinxton-5[/TD]
[TD]Cambridgshire, UK[/TD]
[TD]F999926[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]H2a2a1[/TD]
[TD]1300 years[/TD]
[TD]Hinxton5 Ancient DNA Analysis[/TD]
[/TR]
[TR]
[TD]KO1[/TD]
[TD]Tiszaszőlős-Domaháza, Hungary[/TD]
[TD]F999931[/TD]
[TD]M[/TD]
[TD]I-L68[/TD]
[TD]R3[/TD]
[TD]5650-5780 cal BC[/TD]
[TD]Analysis of Neolithic KO1 genome[/TD]
[/TR]
[TR]
[TD]NE1[/TD]
[TD]Polgár-Ferenci-hát, Hungary[/TD]
[TD]F999937[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]U5b2c[/TD]
[TD]5070-5310 cal BC[/TD]
[TD]Ancient NE1 Matches living people[/TD]
[/TR]
[TR]
[TD]NE5[/TD]
[TD]Kompolt - Kigyósér, Hungary[/TD]
[TD]F999927[/TD]
[TD]M[/TD]
[TD]C-F3393[/TD]
[TD]J1c[/TD]
[TD]4990-5210 cal BC[/TD]
[TD]Ancient Hungarian Genome NE5 Analysis[/TD]
[/TR]
[TR]
[TD]NE6[/TD]
[TD]Apc-Berekalja I., Hungary[/TD]
[TD]F999932[/TD]
[TD]M[/TD]
[TD]C-P255[/TD]
[TD]K1a3a3[/TD]
[TD]4950-5300 cal BC[/TD]
[TD]Analysis of Hungarian genome-NE6[/TD]
[/TR]
[TR]
[TD]NE7[/TD]
[TD]Apc-Berekalja I., Hungary[/TD]
[TD]F999928[/TD]
[TD]M[/TD]
[TD]I-L1228[/TD]
[TD]N1a[/TD]
[TD]4360-4490 cal BC[/TD]
[TD]Ancient Hungarian genome - NE7[/TD]
[/TR]
[TR]
[TD]CO1[/TD]
[TD]Apc-Berekalja I., Hungary[/TD]
[TD]F999930[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]H[/TD]
[TD]2700-2900 cal BC[/TD]
[TD]Analysis of Copper age genome CO1[/TD]
[/TR]
[TR]
[TD]BR2[/TD]
[TD]Ludas-Varjú-dűlő, Hungary[/TD]
[TD]F999933[/TD]
[TD]M[/TD]
[TD]J-M67[/TD]
[TD]K1a1a[/TD]
[TD]1110-1270 cal BC[/TD]
[TD]Ancient BR2 matches living people[/TD]
[/TR]
[TR]
[TD]IR1[/TD]
[TD]Ludas-Varjú-dűlő, Hungary[/TD]
[TD]F999929[/TD]
[TD]M[/TD]
[TD]N-M231[/TD]
[TD]G2a1[/TD]
[TD]830-980 cal BC[/TD]
[TD]Ancient Hungarian genome - IR1[/TD]
[/TR]
[TR]
[TD]Ust'-Ishim[/TD]
[TD]Ust'-Ishim, Siberia[/TD]
[TD]F999935[/TD]
[TD]M[/TD]
[TD]K-M526[/TD]
[TD]R[/TD]
[TD]45,000 years[/TD]
[TD]Ust'-Ishim matches with living people![/TD]
[/TR]
[TR]
[TD]Kostenki14[/TD]
[TD]European Russia[/TD]
[TD]F999936[/TD]
[TD]M[/TD]
[TD]C-V199[/TD]
[TD]U2[/TD]
[TD]38,700-36,200 years[/TD]
[TD]Kostenki14 Ancient DNA Analysis[/TD]
[/TR]
[TR]
[TD]RISE00[/TD]
[TD]Sope, Estonia[/TD]
[TD]F999955[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]H5a1[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE94[/TD]
[TD]Viby, Sweden[/TD]
[TD]F999956[/TD]
[TD]M[/TD]
[TD]K-M1221[/TD]
[TD]K1a2a[/TD]
[TD]4025 years[/TD]
[TD]RISE94 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE97[/TD]
[TD]Fredriksberg, Sweden[/TD]
[TD]F999945[/TD]
[TD][/TD]
[TD]CT-Y1580[/TD]
[TD]K2a5[/TD]
[TD]3590 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE98[/TD]
[TD]L Beddinge 56, Sweden[/TD]
[TD]F999941[/TD]
[TD]M[/TD]
[TD]R-M405[/TD]
[TD]K1b1a[/TD]
[TD]3736 years[/TD]
[TD]RISE98 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE150[/TD]
[TD]Przeclawice, Poland[/TD]
[TD]F999948[/TD]
[TD][/TD]
[TD][/TD]
[TD]U5a1b1[/TD]
[TD]3469 years[/TD]
[TD]RISE150 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE174[/TD]
[TD]Oxie 7, Sweden[/TD]
[TD]F999943[/TD]
[TD][/TD]
[TD][/TD]
[TD]W1[/TD]
[TD]1521 years[/TD]
[TD]RISE174 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE395[/TD]
[TD]Bol'shekaraganskii, Russia[/TD]
[TD]F999949[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]U2e1[/TD]
[TD]3540 years[/TD]
[TD]RISE395 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE479[/TD]
[TD]Erd 4, Hungary[/TD]
[TD]F999944[/TD]
[TD]M[/TD]
[TD]I-L1228[/TD]
[TD]T2b[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE493[/TD]
[TD]Sabinka 2, Russia[/TD]
[TD]F999950[/TD]
[TD]M[/TD]
[TD]Q-L712[/TD]
[TD]C4a1c[/TD]
[TD]3214 years[/TD]
[TD]RISE493 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE495[/TD]
[TD]Arban 1, Russia[/TD]
[TD]F999958[/TD]
[TD]M[/TD]
[TD]R-F3105[/TD]
[TD]D4j1[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE496[/TD]
[TD]Arban 1, Russia[/TD]
[TD]F999959[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]U5a1a2a[/TD]
[TD]3070 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE497[/TD]
[TD]Arban 1, Russia[/TD]
[TD]F999957[/TD]
[TD][/TD]
[TD]F-P142[/TD]
[TD]A2f2[/TD]
[TD]~2000 years[/TD]
[TD]RISE497 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE499[/TD]
[TD]Bystrovka, Russia[/TD]
[TD]F999952[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]H5a1[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE500[/TD]
[TD]Kytmanovo, Russia[/TD]
[TD]F999947[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]U4d1[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE502[/TD]
[TD]Bystrovka, Russia[/TD]
[TD]F999960[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]U5a1d[/TD]
[TD]3140 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE503[/TD]
[TD]Kytmanovo, Russia[/TD]
[TD]F999961[/TD]
[TD][/TD]
[TD][/TD]
[TD]U2e2[/TD]
[TD]3328 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE504[/TD]
[TD]Kytmanovo, Russia[/TD]
[TD]F999962[/TD]
[TD]M[/TD]
[TD]J-CTS3732[/TD]
[TD]C4a1d[/TD]
[TD]1208 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE505[/TD]
[TD]Kytmanovo, Russia[/TD]
[TD]F999953[/TD]
[TD][/TD]
[TD][/TD]
[TD]U4a1b[/TD]
[TD]3391 years[/TD]
[TD]RISE505 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE509[/TD]
[TD]Bateni, Russia[/TD]
[TD]F999942[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]T2c[/TD]
[TD]4186 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE511[/TD]
[TD]Bateni, Russia[/TD]
[TD]F999967[/TD]
[TD]F[/TD]
[TD][/TD]
[TD]J2a2a[/TD]
[TD]4224 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE523[/TD]
[TD]Kapova cave, Russia[/TD]
[TD]F999966[/TD]
[TD][/TD]
[TD][/TD]
[TD]G2a1[/TD]
[TD]3192 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE548[/TD]
[TD]Temrta IV, Russia[/TD]
[TD]F999968[/TD]
[TD]M[/TD]
[TD]R-L23[/TD]
[TD]U4[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE552[/TD]
[TD]Ulan IV, Russia[/TD]
[TD]F999946[/TD]
[TD]M[/TD]
[TD]I-S12195[/TD]
[TD]T2a1a[/TD]
[TD]3940 years[/TD]
[TD]RISE552 has matches with living people[/TD]
[/TR]
[TR]
[TD]RISE569[/TD]
[TD]Brandysek, Czech Republic[/TD]
[TD]F999954[/TD]
[TD][/TD]
[TD][/TD]
[TD]H1af2[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE577[/TD]
[TD]Velke Prilepy, Czech Republic[/TD]
[TD]F999951[/TD]
[TD][/TD]
[TD][/TD]
[TD]T2b[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE601[/TD]
[TD]Verh-Uimon, Russia[/TD]
[TD]F999969[/TD]
[TD]M[/TD]
[TD][/TD]
[TD]M8a1[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]RISE602[/TD]
[TD]Sary-Bel, Russia[/TD]
[TD]F999965[/TD]
[TD]M[/TD]
[TD]J-M410[/TD]
[TD]C4[/TD]
[TD]~2000 years[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Bot15[/TD]
[TD]Rio Doce, Minas Gerais, Brazil[/TD]
[TD]F999963[/TD]
[TD]M[/TD]
[TD]C-PH3092[/TD]
[TD]B4a1a1a[/TD]
[TD]~1600 AD[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Bot17[/TD]
[TD]Rio Doce, Minas Gerais, Brazil[/TD]
[TD]F999964[/TD]
[TD]M[/TD]
[TD]C-Z31878[/TD]
[TD]B4a1a1[/TD]
[TD]~1600 AD[/TD]
[TD][/TD]
[/TR]
[TR]
[TD]Kennewick Man[/TD]
[TD]Kennewick, Washington state, USA[/TD]
[TD]F999970[/TD]
[TD]M[/TD]
[TD]Q-M199[/TD]
[TD]X2a[/TD]
[TD]8358 years[/TD]
[TD][/TD]
[/TR]
[/TABLE]
 
Our top 3 Ancient pop. Oracle:

Top 5 EUtest Single Pop. (4 Anc.)

LBK (Linearbandkeramik)
1 Sardinian @ 17.501347
2 Tuscan @ 29.172617
3 South_Italian_&_Sicilian @ 31.322887
4 North_Italian @ 31.634396
5 GR @ 33.166294

BR2
1 AT @ 8.063127
2 FR @ 9.528506
3 West_&_Central_German @ 11.630827
4 HU @ 12.531700
5 NL @ 12.625481

NE1
1 Sardinian @ 23.157549
2 Tuscan @ 26.121943
3 South_Italian_&_Sicilian @ 26.975130
4 GR @ 28.661140
5 North_Italian @ 28.932219


Obviously I could have chosen other options ​and get different results. :)


 
Comparing myself with the above LBK and NE1 (EUtest).
I’m not that different from them except for one.

Using 1 population approximation:
1 South_Italian_&_Sicilian @ 8.562772
2 GR @ 8.642689
3 AJ @ 11.292471
4 Tuscan @ 16.543209
5 North_Italian @ 22.591982




(Screenshot)

46M36xy.jpg
 
JaJ7z5j.png


Above are the Dodecad k12b results for BR2, NE1, and LBK. Below are mine, they look like it could be LBK or NE1 with additional "North_Europe", and "Gedrosia".

The BR2 shows some gedrosia too. Other Modern European populations get gedrosia as well (example: Argyll 13.1%, Orcadian 12%, Irish 11.91%, English 10.62%, British_Isles 9.50% French 8.08%, French_Basque 9.80%, Mixed Germanics 10.7%, CEU30 10.60%)

IYqcfQG.png
 
Last edited:
K36 Map of Similarity Rate: NE1, LBK (Linearbandkeramik), BR2

IHfKHbv.jpg


kQWKrjS.jpg


dm8eoEv.jpg




This is my map, I'm reclutant to believe it, I think that the reds are too far away from each other, and that should have been only 1 red halfway between, right in to Puglia.

aDkByvb.jpg
 
Well, k36 was made by a blogger so there will be results that are off by a margin or two (or three...)
 
davef said:
Well, k36 was made by a blogger so there will be results that are off by a margin or two (or three...)
Click to expand...

True, but we use what we can.
That said, it took me forever to do all of that.

... aniway, and I thought it was cold last week, ... :petrified:
 
davef said:
Well, k36 was made by a blogger so there will be results that are off by a margin or two (or three...)
Click to expand...

My K36 Map It’s starting to make a lot of sense now.
Rome and Greece. Who knows, the Blogger could be a Genius too, or not.
a Wider view:

oGx4Q0R.jpg
 
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