Comprehensive Ethiopian YDNA TMRCA Estimates

Find below a comprehensive list for all central TMRCA estimates calculated from the Plaster thesis for 6 UEPs (look at this post under Interactive Chart of Figure 3.2 for the frequencies of the UEPs). P*(x R1a) & Y*(x BT,A3b2)  are not included due to their minimal frequency and very sporadic distribution. 

There were a total of 5,756 haplotypes reported with the paper for the markers DYS19, DYS388, DYS390, DYS391, DYS392 and DYS393.  30 of those haplotypes belonged to P*(x R1a) & Y*(x BT,A3b2), leaving a total of 5,726 haplotypes. These remaining haplotypes, were then categorized with the criteria of Cultural ID + Generic Language Group* + UEP, any group of haplotypes that conformed to this criteria with N >1 and with a coalescent not equal to 0 (meaning non-identical haplotypes) were processed for their TMRCA and reported, accounting for 5,668 or 98% of the total haplotypes reported for the paper.

The tables are ordered according to the frequencies of the tested UEPs in Ethiopia, i.e. E*(x E1b1a), 3985 Haplotypes  > J,  689 Haplotypes  > A3b2, 601 Haplotypes  > K*(xL,N1c,O2b,P) , 154 Haplotypes > BT*(xDE,JT), 193 Haplotypes  and E1b1a7, 46 Haplotypes .

Note that both the mean TMRCA's for Zhivotovsky (Z-TMRCA) and the pedigree rates (P-TMRCA), some times also known as germline rates, are in units of generations, the suitable length of a generation for the Z-TMRCA is 25 years, while for the P-TMRCA it may range from 28 to 33 years.

If detail of the TMRCA analysis for any of the populations listed below maybe required, go to the table here, and upload the necessary file into the Y TMRCA calculator and filter for the specific population in question.

More East African mtDNA Charts

Below are more East African mtDNA bar graphs from the Hirbo Thesis, the complementary YDNA charts can be seen in this post, along with the Boattini paper featured here, this gives us a more complete picture of East African mtDNA with a reasonable amount of detail.

Google Visualization API has been having problems for the past couple of months, so the tool tips as well as other functionalities of Google charts may not work, this post will be updated if they fix some of these issues.

With respect to some of the data points, the populations labeled with a * had their total number of samples adjusted in order for the percentages shown in Table 3.4.1 to make sense, that is, Orma has been adjusted from 20 to 21, Marakwet from 22 to 23, Pokot from 39 to 38, San from 11 to 12 and Bamoun from 18 to 20.