1. Taking several populations from one region and assuming only one main ancestry for all of them.
2. Taking the lowest percentage of each component (Dodecad, Harappa or Eurogenes) and declaring this lowest percentage as ancestral.
3. Subtracting the actual percentage of a component of a population from the lowest percentage.
Example with the Baloch component in Harappa Project:
Step 1:
Armenian: 18%
Assyrian: 19%
Kurd: 26 %
Iranian: 27 %
Step 2:
Lowest Percentage for the Baloch component in these four populations: 18%
Step 3:
Armenian: 18% - 18% = 0 %
Assyrian: 19% - 18% = 1 %
Kurd: 26% - 18% = 8 %
Iranian: 27% - 18% = 9 %
His goal is to measure the influx migration from outside. This measurement is based on the assumption of an ancestral population for all compared populations. Let's see how this ancestral population would look like:
The minimum values of the 12 components for Armenians, Assyrians, Kurds and Iranians are:
S Indian 0%
Baloch 18%
Caucasian 42%
NE Euro 1%
SE Asian 0%
Siberian 0%
NE Asian 0%
Papuan 0%
American 0%
Beringian 0%
Medit. 5%
SW Asian 11%
San 0%
E African 0%
Pygmy 0%
W African 0%
Total 77%
Let's bring up the numbers to a total of 100% :
S Indian 0%
Baloch 23%
Caucasian 55%
NE Euro 1%
SE Asian 0%
Siberian 0%
NE Asian 0%
Papuan 0%
American 0%
Beringian 0%
Medit. 6%
SW Asian 14%
San 0%
E African 0%
Pygmy 0%
W African 0%
Total 100%
In short:
| # | Population | Percent |
| 1 | Caucasian | 55 |
| 2 | Baloch | 23 |
| 3 | SW-Asian | 14 |
| 4 | Mediterranean | 6 |
| 5 | NE-Euro | 1 |
The main drawbacks of this approach are that ...
1. The calculation is based on processing of already processed data, so the error is getting bigger. It is not directly based on raw data.
2. It is based on the assumption that neighboring people with different histories/languages/religions have one main common ancestry.
I actually used a similar approach here but I did not use averages of populations and I did not assume a common ancestry for these populations. Instead I only focused on results of individuals of only one population. My goal was not to see differences but to see similarities. Onur critized that my old approach was not based on admixture results of others and not on raw data.
So, what I now did was to take all Kurdish raw data and fuse them into one genome. This genome is based on the allele frequencies in Kurds results that I presented here. Allele frequencies of 25-75% were considered as heterozygous and allele frequencies below 25% and above 75% were considered as homozygous.
Then, I used this fused Kurdish genome and ran it through HarappaWorld, Dodecad K12b, and Eurogenes K12.
Interestingly, the Harappa results of the fused Kurdish genome are not far away from the results above:
HarappaWorld for fused Kurdish genome (N=16):
| # | Population | Percent |
| 1 | Caucasian | 54.63 |
| 2 | Baloch | 28.84 |
| 3 | SW-Asian | 12.61 |
| 4 | Mediterranean | 2.85 |
| 5 | NE-Euro | 1.07 |
Closest populations to this fused Kurdish genome (N=16):
Single Population Sharing:
| # | Population (source) | Distance |
| 1 | kurd (yunusbayev) | 9.97 |
| 2 | kurd (xing) | 10.36 |
| 3 | assyrian (harappa) | 11.41 |
| 4 | armenian (yunusbayev) | 11.69 |
| 5 | kurd (harappa) | 12.08 |
| 6 | azerbaijan-jew (behar) | 12.29 |
| 7 | armenian (behar) | 12.83 |
| 8 | iranian (harappa) | 12.93 |
| 9 | uzbekistan-jew (behar) | 13.06 |
| 10 | georgian (harappa) | 13.52 |
| 11 | iranian-jew (behar) | 13.91 |
| 12 | iraqi-mandaean (harappa) | 14 |
| 13 | georgia-jew (behar) | 14.49 |
| 14 | azeri (harappa) | 14.62 |
| 15 | iranian (behar) | 15.3 |
| 16 | turkish (harappa) | 16.27 |
| 17 | iraq-jew (behar) | 16.47 |
| 18 | turk (behar) | 17.64 |
| 19 | turk-kayseri (hodoglugil) | 18.51 |
| 20 | kumyk (yunusbayev) | 19.35 |
Dodecad K12b for fused Kurdish genome (N=16):
| # | Population | Percent |
| 1 | Caucasus | 52.25 |
| 2 | Gedrosia | 29.22 |
| 3 | Southwest_Asian | 12 |
| 4 | Atlantic_Med | 4.18 |
| 5 | North_European | 2.35 |
Single Population Sharing:
| # | Population (source) | Distance |
| 1 | Kurds (Yunusbayev) | 10.3 |
| 2 | Kurd (Dodecad) | 11.48 |
| 3 | Armenians_15 (Yunusbayev) | 11.7 |
| 4 | Iranian (Dodecad) | 11.95 |
| 5 | Azerbaijan_Jews (Behar) | 12.09 |
| 6 | Uzbekistan_Jews (Behar) | 12.59 |
| 7 | Assyrian (Dodecad) | 13.02 |
| 8 | Armenian (Dodecad) | 13.25 |
| 9 | Georgia_Jews (Behar) | 13.38 |
| 10 | Iranian_Jews (Behar) | 14.49 |
| 11 | Iranians (Behar) | 14.87 |
| 12 | Armenians (Behar) | 15.19 |
| 13 | Turks (Behar) | 16.88 |
| 14 | Iraq_Jews (Behar) | 17.74 |
| 15 | Turkish (Dodecad) | 19.37 |
| 16 | Kumyks (Yunusbayev) | 20.68 |
| 17 | Druze (HGDP) | 23.08 |
| 18 | Adygei (HGDP) | 23.34 |
| 19 | Lezgins (Behar) | 23.49 |
| 20 | Chechens (Yunusbayev) | 23.62 |
Eurogenes K12b for fused Kurdish genome (N=16):
| # | Population | Percent |
| 1 | Caucasus | 45.67 |
| 2 | W-Central Asian | 22.79 |
| 3 | Mediterranean | 19.29 |
| 4 | Southwest Asian | 11.81 |
| 5 | North European | 0.45 |
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