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Showing posts with label haplotype. Show all posts
Showing posts with label haplotype. Show all posts

Monday, May 1, 2017

Lactase persistence gene: MCM6 of Denisovans found in East Asia

Today, I obtained genotype data comprising MCM6 SNPs from HapMap for 2436 individuals from 26 HapMap populations (ESN, GWD, LWK, MSL, YRI, ACB, ASW, CLM, MXL, PEL, PUR, CDX, CHB, CHS, FIN, GBR, IBS, TSI, CEU, BEB, ITU, JPT, KHV, PJL, STU, GIH). Haplotype annotation of each individual can be downloaded here. I focused on all the SNPs that show more variation (more than 1% of the alternative base). I excluded all SNPs that have varying numbers of bases (insertion/deletion), and I excluded rs4988274 and rs55809728 because they did not show a clear pattern (hypervariability?). I excluded all haplotypes that were only present in 2 or less individuals. Using the remaining 203 SNPs I was able to identify 76 haplogroups. Please note that there are many more haplotypes (especially in Africa); I just focused on most common ones as stated above. Please also note that I changed the nomenclature at this stage because the following three reasons:
1. Some of the populations identified in Enattah et al., 2008 are not present in the HapMap dataset. Thus, some of the identified haplotypes in Enattah et al., 2008 are missing here.
2. Because this time I used more SNPs most of the haplotypes split into several haplotypes:
    ht1=> ht17-30 (blue)
    ht2=> ht31 (turquoise)
    ht3=> ht32 (turquoise)
    ht4=> ht59-73 (orange)
    ht5=> ht74-76 (red)
    ht6=> ht49-57 (green)
    ht13=> ht46-48 (brown)
    ht16=> ht45 (cayenne)

Additionally, I observed some other groups:

ht6-ht116 (violett): mostly present in Africa
ht35-ht38 (salmon): worldwide in low frequencies
ht40-ht44 (yellow): mostly present in Africa

3. I wanted to sort the haplotypes based on the phylogenetic tree.

I also checked the data of Denisova and Neanderthals for these 203 SNPs, and predicted the missing SNPs.

Find below the phylogenetic tree of the 76 MCM6 haplotypes including Denisova and Neanderthals.

SNPs of 76 haplotypes including the Denisova and Neanderthal SNPs (predicted ones in grey) and frequencies of all 76 haplogroups can be downloaded here (with summary at bottom).


Distribution of the main branches of MCM6:





Every branch of the phylogenetic tree of MCM6 tells its migration story. Based on the generated data I will try to postulate the steps of these migrations.


Grey branch (Denisova/Neanderthals/previous and current ht5):
ht5 is derived from the Denisova genome. The frequency of the ht5 suggests that the admixture Denisova and our ancestors occurred in Asia, which is in accordance with the current state of scientific knowledge.


Green branch (ht49-57; previously ht6):



Africa: ht50 is the ancestor of this green branch, and is only found in individuals with African ancestry (7-16%). ht50 was not part of OOA (Out of Africa). The alternative hypothesis would be that ht50 derived from ht52.
ht51 is derived from ht52 and is only present in Africans and Afro-Americans (2% in Gambians, 0.8% African Ancestry in Southwest US).
OOA: ht52 is derived from ht50 and can be found in Africa (1-4%) and all parts of Eurasia. It is especially common in East Asia (12-21%). ht52 was part of OOA. ht52 split into two groups, one that kept staying in Eastern Eurasia and one that moved to Western Eurasia.
Eastern Eurasia: ht53 is derived from ht52 and can not be found in Africa (no back migration to Africa), but it can be found in Eastern Eurasia, especially South Asians (2-8%) and East Asians (4-5%), and made it into native Americans (11% in Peruvians). Given its very low frequencies in Southern Europe and its lack in Africa I assume that it very rare in the Middle East.
Western Eurasia: ht56 is also derived from ht52 and can be found in Western Eurasia. ht56 is the most successful ht among the green branch (ht6) reaching 2-5% in Africa, 2-15% in Americans (probably through European ancestry because lowest level found in Peruvians and highest in Colombians and Puerto Ricans), 1-18% in South Asia, and 10-30% in Europe. It is basically not present in East Asia (0-1%).
ht54, ht55, and ht57 are derived from ht56 and show a similar world wide distribution with ht57 being the most successful. They show no migration to Africa.
ht54 can be found in Europe (0-1%) and South Asia (0-1%).
ht55 can be found in Europe (1-2%), South Asia (0-4%), East Asia (0-1%), and Americans (0-1%; probably through European ancestry because found in Colombians and Puerto Ricans but not found in Peruvians)
ht57 can be found in Europe (2-5%), South Asia (0-2%), and Americans (1-5%; probably through European ancestry because lowest level found in Peruvians and highest in Colombians and Puerto Ricans).
ht49 emerged after a crossing-over event between ht56 and ht18, ht20-ht32 (most likely ht29). Thus, its position in the phylogenetic tree is misleading.
For Kurds, I expect ht56 and ht52 to be the most common ones among this branch. If there is any unknown LP persistance genotype among Kurds then it is probably a subbranch of ht52 or ht56. Unfortunately, 23andme do not help to distinguish between the hts of the green branch (ht6).

Blue branch (ht17-30; previously ht1):

ht21 is the ancestor of this blue branch. ht21 can only be found in Africans (0-3%) and Afro-Americans (0-1%).
ht22 is derived from ht21. ht22 can only be found in Africans (0-3%) and Afro-Americans (0-1%).
ht23 is derived from ht22. ht23 can only be found in Africans (2-5%), Afro-Americans (2-4%), and Americans (0-1%), probably through African ancestry.
OOA: ht29 is derived from ht21. ht29 can be found in all parts of the world: in Africans (2-6%), in native Americans (3-10%; not through European ancestry because highest levels found in Peruvians and Mexicans), in East Asians (24-42%), in South Asians (4-15%), and in Europeans (1-4%).
Five subbranches are derived from ht29: a) ht24, b) ht25, c) ht26, d) ht28, and e) ht30.
a) ht24 is present in individuals from Southern Europe (0-1%) and Afro-Americans (0-1%).
b) ht25 is only present in South Asia (0-1%).
c) ht26 is present in Europe (0-1%) und South Asia (0-1%).
d) ht28 is only present in East Asia (3-12%).
e) ht30 is present in  native Americans (6-12%; probably not through European ancestry because the highest levels are found in Peruvians and Mexicans), in Europeans (1-13%; North-South gradient=British 1% and Toscana 13%), and in South Asians (3-9%).
ht18 emerged after a crossing-over event between ht29 and ht49-53, ht56, or ht57. Similar to ht49 in the green branch (ht6), its position in the phylogenetic tree is misleading.

Turquoise branch (ht31-ht32; previously ht2-ht3):
ht31 (ht2) is derived from ht30. ht31 is very rare but plays a key role for the European lactase persistence (ht3). As mentioned above, I showed that it is present in Kurds (2.5%), Iraqi Jews (4.7%), Pakistanis (2-6%), Kalash (14%), and Arabs from the Middle East (2,5%). Now, I could also confirm its presence in Americans (0-2%; through Lebanese ancestry?), Toscana (1%), and South Asians (1%).
ht32 (ht3) is derived from ht31, and is the most frequent MCM6 genotype reaching 71% in Northern Europe and only 8% in Toscana. ht32 is responsible for European lactase persistence but it can be found elsewhere, too: frequencies of 11-31% in Americans (through European ancestry because the lowest levels are found in Peruvians), and 5-25% in South Asians (Northwest/SouthEast gradient with Punjabis being the highest and Tamils being the lowest). As mentioned above, I showed that it is present in Kurds (5%), Iranians (5%), Ob-Ugrics (5%), Arabs from Iraq, Syria, Lebanon and Palestine (13%), Morocco (17%), Saharawi (23%), and Fulani Sudanese (33%).

Orange branch (ht59-73; previously ht4):

ht61 is the ancestor of the orange branch. ht61 can only be found in South Asia.
ht62 is derived from ht61. ht62 can be found in Africa (1-3%), in Europe (0-2%), and in South Asia (0-3%). In South Asia there is a North/South gradient: in Europe the distribution is less clear.
ht63 is derived from ht62 and is solely African (0-1%).
ht64 is derived from ht63 and is also solely African (1-6%).
ht69 is derived from ht62 and is basically African, too (1-4%). Three subbranches emerged from ht69: a) ht70-71, b) ht65-68, and c) ht74-76 (red branch ht5).
a) ht70 is rare in Africa (0-1%), high among native Americans (5-22%) and South Asians (8-16%). 1-5% of Europeans (North/South gradient) and 8-13% of East Asians have ht70.
ht71 is derived from ht70, and is only present in South Asia (3-5%).
b) ht65-68 are all solely African (together 6-12%).
c) ht74-76 is the red branch (ht5; see below)
ht60 emerged after a crossing-over event between ht18, ht28-30, or ht31 and ht62, hg36-40 or ht69. Similar to ht49 in the green branch (ht6) and ht18 in the blue branch (ht1), its position in the phylogenetic tree is misleading.

Red branch (ht74-76; previously ht5):
ht75 is the ancestor of the red branch and can be found in all parts of the world: 1-4% in Africans, 6-10% in  Americans, 7-10% East Asians, 3-14% in Europeans (North/South gradient), and 7-9% in South Asians. Two subbranches emerged from ht75: a) ht76 and b) ht74 -40
a) ht76 is derived from ht75 and is present especially in Native Americans 3-13% (not through European ancestry because the highest levels are found in Peruvians and Mexicans), it is also present in Europe 0-2%, and South Asians 0-3% but not in Africans and East Asians.
b) ht74 and hg40 are derived from ht75 and are basically only present in South Asians (1-6%) with a clear North/South gradient.  ht72 was a little bit more successful and made it to South Asians (1-3%), East Asians (0-3%), Europeans (1-3%), and especially in Native Americans 1-7% (not through European ancestry because the highest levels are found in Peruvians and Mexicans).

Brown branch (ht46-48; previously ht13):
hg28 is the ancestor of the brown branch and is solely African (0-2%) as well as all of its derived subbranches ht47, hg30, and ht48.
hg27 emerged after a crossing-over event between hg28 and hg20-21 or hg23-25. Similar to ht49 in the green branch (ht6), ht18 in the blue branch (ht1), and ht60 in the orange branch (ht4), its position in the phylogenetic tree is misleading.

The remaining branches (hg1-25) are mostly African. Exceptions are hg5 (see grey branch), hg18-19 (0-6% in East Asians), and hg13 (1-2% in South Asians, 0-1% in Europeans and East Asians).

Yellow branch (ht40-44):

ht43 is the ancestor of the yellow branch. The yellow branch is solely African.

Update May 7th, 2017:
Kurd from anthrogenica.com helped me out to collect some more data. Thanks!

Skythian Sarmatian: blue branch ht17-31 excluding ht24, however, rs4988186=T (usually in orange/yellow branch ht33-44)
Skythian Pazyr: blue branch ht24
Skythian Aldy: ht30-31 (blue/turquoise branch)
Skythian Volga: blue branch ht18, ht20-ht31, ht34

Thursday, December 1, 2016

Enattah et al., 2008: Convergence of lactase persistence

Today, I want to dig a little bit more into the genetics of lactase persistence. The goal is still to identify unknown MCM6 haplotypes in Middle Eastern populations that could lead to lactose tolerance and to identify the root of the known MCM6 haplotypes that result in lactase persistence.
Previously, I postulated the following phylogentic tree for the MCM6 gene (based on 23andme data):






I used genetic data from Enattah et al., 2008 and identified 9 SNP of MCM6 that are also tested at 23andme. Based on these 9 SNPs I identified ht1-6, the Saudi-Arabian lactase persistence (ht8), the East African lactase persistence (ht13), and several more. You can download the table here.


In the table above it becomes obvious that Saudi-Arabian lactase persistence (ht8) is derived from ht5, both share "C" at rs4988243. The European lactase persistence (ht3) is derived from ht2, and the East African lactase persistence (ht15) is derived from ht1.

From the paper, Enattah et al., 2008:
The European T(-13910) and the earlier identified East African G(-13907) LP allele share the same ancestral background and most likely the same history, probably related to the same cattle domestication event. In contrast, the compound Arab allele shows a different, highly divergent ancestral haplotype, suggesting that these two major global LP alleles have arisen independently, the latter perhaps in response to camel milk consumption. These results support the convergent evolution of the LP in diverse populations, most probably reflecting different histories of adaptation to milk culture.
Previously, I showed that Kurds, Iraqi Jews and Pakistanis have ht2. Now, I could show that ht2 is also present in Arabs from the Middle East and the Kalash. I determined frequencies of these haplotypes based on data from Enattah et al., 2008
I also added the Kurdish data to this table. You can download the table here:



In Eurasia, the vast majority are ht1 to ht6. In Africa, the MCM6 gene is more diverse.
Not surprisingly, Kurds show similarities with Iranians in their MCM6 repertoire and frequencies.

Since these haplotypes are just based on 9 SNPs they are less reliable, I decided to expand the number of SNPs gradually. To define further SNPs of the Saudi-Arabian lactase persistence I asked several Saudi-Arabians to participate in a small survey. I could confirm that the Saudi-Arabian lactase persistence (ht8) is derived from ht5 and correlates with the expected phenotype (=lactose tolerant). I also observed ht13 in one individual and added both data (ht8 and ht13) in the expanded list of SNPs that can be checked on 23andme. The other haplotypes are extracted (ht9-12, ht14-18) are extracted from Enattah et al., 2008.

You can download the table here:

Related post: 
Lactose intolerance: Six MCM6 variants in the Kurdish gene pool / Why 22018A is strongly, but not completely related to lactase persistence 

Lactose Tolerance

Tuesday, July 2, 2013

The color of the eyes: at least 17 HERC2 variants in Human gene pool

Today, after analyzing the Kurdish gene pool for HERC2 and the Eurasian gene pool for HERC2 I want to add the third post in the HERC2 trilogy. I analyzed additional data from other parts of the world and discovered 10 more existing Human haplotypes and one extinct haplotype in Neanderthals.

All the HERC2 haplotypes of humans, Neanderthals, Denisova and many mammals can be found in the spreadsheet I generated.

Interestingly, the ancestral HERC2 haplotype is ht13, which is present in the Denisova genome and most likely in the Neanderthal gene pool. Ht13 survived at low frequencies in Kumyk from the Caucasus (4%), Chenchus from India (25%), Mongolia (5-6%),  Bantu (3%), Mbuti Pygmies (15%), Sandawe (11%), Puerto Rican (2%) and Dominican (2%).

Below is a rectangular tree of these haplotypes (ht1 and h2 give light eye colors):



The highest variability of HERC2 can be found in Subsaharan Africa and in mixed population of the New World (African American, Dominican, Colombian, Puerto Rican).




N total N with ht3-18 data #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14 #15 #16 #17 #18 ND
Europe 1171 305 31% 21% 15% 3% 11% 9% 1% 0% 0% 1% 0% 0% 0% 1% 0% 0% 0% 0% 1%
West Asia 628 527 20% 4% 20% 8% 13% 20% 7% 0% 0% 1% 0% 0% 0% 1% 0% 0% 0% 0% 5%
South Asia 405 298 7% 3% 25% 6% 20% 21% 11% 0% 0% 4% 0% 1% 0% 1% 0% 0% 0% 0% 2%
Southeast Asia 172 151 1% 0% 29% 10% 21% 28% 11% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Northeast Asia 197 197 2% 2% 29% 1% 37% 26% 2% 0% 0% 1% 0% 0% 1% 0% 0% 0% 0% 0% 1%
Central Asia 66 66 5% 6% 18% 7% 32% 23% 2% 0% 0% 2% 0% 0% 0% 1% 1% 0% 0% 0% 5%
Northern Africa 211 77 5% 0% 24% 17% 6% 19% 10% 6% 0% 1% 1% 0% 0% 1% 0% 0% 0% 0% 1%
Subsaharan Africa 141 141 0% 1% 5% 8% 4% 13% 11% 19% 5% 7% 7% 1% 4% 0% 0% 1% 1% 0% 12%
America 285 186 6% 3% 23% 6% 22% 6% 3% 7% 1% 4% 1% 0% 1% 2% 1% 0% 0% 0% 11%
Denisova 1 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 100% 0% 0% 0% 0% 0% 0%
Neanderthal* 1 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 50% 0% 0% 0% 0% 50% 0%





N #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14 #15 #16 #17 #18 ND
Lithuanians 10 35% 60% 0% 0% 0% 5% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Belorussians 7 36% 64% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Erzya 9 39% 56% 0% 0% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Kargopol_Russian 25 36% 46% 8% 2% 4% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Russians 5 60% 20% 0% 0% 10% 10% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Ukrainian 20 43% 38% 8% 0% 8% 5% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Moksha 5 30% 50% 10% 0% 0% 10% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Hungarians 18 17% 50% 14% 0% 14% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Chuvash 16 28% 31% 19% 0% 13% 6% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Dolgans 6 0% 0% 25% 0% 50% 25% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Bulgarian 13 31% 12% 12% 0% 0% 4% 0% 0% 0% 19% 0% 0% 0% 8% 0% 0% 0% 0% 15%
Romanians 14 29% 25% 21% 4% 14% 7% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Orcadian 11 27% 41% 5% 5% 18% 5% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Orcadian 19 42% 21% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 37%
Argyll_Scottish 3 17% 17% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 67%
Cornish 30 33% 17% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 50%
Kent 36 26% 7% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 67%
Utah_USA 89 31% 20% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 49%
Finnish 96 37% 21% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 42%
Swedes 36 42% 54% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 4%
Danes 19 52% 32% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 16%
Germans 91 46% 33% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 21%
Austrian 49 55% 28% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 17%
Swiss 16 69% 25% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 6%
French 27 31% 30% 19% 4% 6% 11% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
North_Italian 13 42% 27% 8% 4% 8% 8% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tuscan 80 8% 3% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 89%
Tuscan 8 25% 19% 6% 0% 19% 31% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
French_Basque 24 19% 21% 17% 6% 23% 8% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Spanish_Pais_Vasco 8 19% 6% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 75%
Spanish_Andalucia 4 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Aragon 5 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Baleares 8 6% 6% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 88%
Spanish_Canarias 2 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Cantabria 6 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Castilla_La_Mancha 4 13% 13% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 75%
Spanish_Castilla_Y_Leon 12 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Cataluna 5 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Extremadura 8 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Galicia 8 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Galician 215 30% 17% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 53%
Spanish_Murcia 6 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Spanish_Valencia 10 10% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 90%
Spanish 11 36% 5% 32% 9% 9% 5% 0% 0% 0% 0% 0% 0% 0% 5% 0% 0% 0% 0% 0%
Spanish 1 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Sardinian 24 19% 4% 40% 6% 10% 19% 0% 0% 0% 0% 0% 0% 0% 2% 0% 0% 0% 0% 0%
Ashkenazy_Jews 21 38% 14% 12% 2% 12% 7% 2% 0% 0% 2% 0% 0% 0% 10% 0% 0% 0% 0% 0%
Sephardic_Jews 18 25% 11% 25% 3% 11% 14% 11% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Cypriots 12 33% 0% 21% 13% 17% 13% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Lezgins 16 19% 3% 22% 6% 22% 25% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Nogay 14 39% 0% 21% 4% 21% 11% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
North_Ossetian 13 31% 15% 35% 8% 4% 8% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Kumyk 13 38% 12% 15% 0% 19% 12% 0% 0% 0% 0% 0% 0% 4% 0% 0% 0% 0% 0% 0%
Balkar 16 38% 6% 13% 9% 22% 9% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Abhkasian 18 17% 6% 22% 14% 17% 22% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Adygei 17 26% 6% 12% 3% 18% 26% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Chechen 18 31% 11% 14% 3% 19% 22% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Georgians 14 46% 0% 7% 4% 18% 21% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Iranians 16 3% 6% 28% 3% 13% 28% 13% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 6%
Hazara 17 6% 0% 26% 3% 29% 26% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 6%
Balochi 50 10% 4% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 86%
Balochi 15 10% 3% 10% 17% 23% 23% 7% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 7%
Kurd 26 19% 4% 19% 15% 21% 17% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Turks 19 21% 8% 29% 8% 13% 16% 5% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Iranian_Jews 4 13% 0% 13% 0% 0% 63% 13% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Iraqi_Jews 9 17% 0% 28% 17% 11% 28% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Lebanese 4 13% 0% 38% 38% 0% 13% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Lebanese_Muslim 25 14% 8% 14% 12% 12% 32% 8% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Armenian 27 24% 2% 19% 9% 2% 9% 4% 0% 0% 6% 0% 0% 0% 0% 0% 0% 0% 0% 26%
Lebanese_Christian 24 33% 6% 15% 10% 6% 19% 6% 0% 2% 0% 0% 0% 0% 2% 0% 0% 0% 0% 0%
Lebanese_Druze 24 17% 2% 31% 10% 13% 13% 13% 2% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Druze 20 25% 0% 8% 3% 8% 18% 3% 0% 0% 13% 0% 3% 0% 3% 0% 0% 0% 0% 20%
Syrians 15 33% 0% 13% 3% 23% 20% 3% 0% 0% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Palestinian 51 18% 3% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND -21%
Palestinian 31 24% 2% 13% 6% 8% 26% 15% 2% 0% 0% 0% 0% 0% 2% 0% 0% 0% 0% 3%
Jordanians 19 13% 8% 29% 5% 13% 21% 11% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Saudis 19 5% 0% 26% 0% 8% 13% 26% 3% 0% 0% 3% 0% 0% 0% 0% 0% 0% 0% 16%
Yemenese 7 7% 0% 14% 7% 7% 14% 21% 14% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 14%
Yemenite_Jews 15 7% 0% 30% 3% 0% 30% 10% 0% 0% 0% 0% 0% 0% 7% 0% 0% 0% 0% 13%
Bedouin 40 11% 0% 20% 15% 1% 20% 16% 0% 0% 4% 0% 1% 0% 1% 0% 0% 0% 0% 10%
Brahui 20 3% 0% 23% 10% 25% 13% 5% 0% 0% 10% 0% 0% 0% 8% 0% 0% 0% 0% 5%
Brahui 25 2% 2% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Burusho 25 18% 12% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND -30%
Burusho 25 14% 10% 18% 0% 16% 14% 4% 0% 0% 8% 0% 2% 0% 2% 0% 0% 0% 0% 12%
Kalash 25 12% 16% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Brahmins_TN&UP 9 6% 0% 17% 11% 6% 28% 11% 0% 0% 11% 0% 11% 0% 0% 0% 0% 0% 0% 0%
Chamar 9 6% 0% 33% 11% 11% 11% 17% 0% 0% 11% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Hakkipikki 4 0% 0% 25% 0% 13% 38% 13% 0% 0% 0% 0% 13% 0% 0% 0% 0% 0% 0% 0%
Chenchus 4 0% 0% 38% 0% 13% 0% 0% 0% 0% 13% 0% 13% 25% 0% 0% 0% 0% 0% 0%
Gond 2 0% 0% 50% 0% 0% 25% 0% 0% 0% 25% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Dharkars 9 0% 0% 22% 11% 28% 17% 17% 0% 0% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Dusadh 6 0% 0% 33% 0% 25% 8% 8% 0% 0% 8% 0% 0% 0% 0% 0% 0% 0% 0% 17%
Makrani 20 10% 3% 18% 8% 33% 23% 5% 0% 0% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Pathan 21 19% 2% 14% 7% 24% 17% 17% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Lambadi 1 0% 0% 50% 0% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Meena 1 0% 0% 50% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Nihali 1 0% 0% 0% 0% 50% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tharus 2 25% 0% 25% 0% 0% 25% 25% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Uttar_Pradesh 5 0% 0% 60% 0% 20% 20% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Gujarati 32 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Sindhi 14 4% 0% 29% 7% 14% 32% 11% 0% 0% 0% 0% 0% 0% 4% 0% 0% 0% 0% 0%
Bengali 1 50% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Kurmi 1 0% 0% 0% 0% 0% 0% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Kurumba 3 33% 0% 17% 0% 33% 0% 17% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
North_Kannadi 4 25% 0% 25% 38% 0% 13% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Muslim_India 5 10% 0% 20% 40% 0% 20% 10% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Meghawal 1 0% 0% 0% 50% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Kol 14 0% 0% 36% 4% 21% 25% 14% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Kanjars 7 0% 0% 14% 0% 14% 64% 7% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Cochin_Jews 3 0% 0% 17% 0% 17% 33% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 33%
Mumbai_Jews 4 13% 0% 25% 0% 0% 0% 38% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 25%
Kshatriya 7 0% 0% 29% 0% 29% 43% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Velamas 7 7% 0% 21% 0% 43% 0% 29% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Pulliyar 1 0% 0% 0% 0% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tamil_Nadu 1 0% 0% 50% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Piramalai 8 0% 0% 31% 6% 25% 19% 19% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Singapore_Indian 78 8% 2% 27% 4% 18% 26% 12% 0% 0% 3% 0% 0% 0% 1% 0% 0% 0% 0% 0%
Austroasiatic 11 5% 0% 32% 5% 5% 36% 18% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tibeto-Burman_Burmese 14 0% 0% 32% 18% 18% 21% 11% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tibeto-Burman_Garo 2 0% 0% 25% 0% 50% 25% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Cambodian 10 0% 0% 25% 10% 30% 25% 5% 0% 0% 0% 0% 0% 0% 5% 0% 0% 0% 0% 0%
Vietnamese 21 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Malay 87 1% 0% 22% 13% 28% 30% 6% 1% 0% 0% 0% 1% 0% 0% 0% 0% 0% 0% 0%
NAN_Melanesian 10 0% 0% 20% 0% 0% 15% 65% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Papuan 17 0% 0% 68% 0% 0% 26% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Miaozu 10 0% 0% 25% 0% 25% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Oroqen 9 0% 0% 17% 0% 61% 22% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
She 9 0% 0% 33% 0% 11% 56% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Daur 9 0% 0% 17% 0% 56% 28% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Mongola 10 0% 0% 35% 5% 25% 30% 0% 0% 0% 0% 0% 0% 5% 0% 0% 0% 0% 0% 0%
Mongolians 9 0% 0% 28% 0% 50% 11% 6% 0% 0% 0% 0% 0% 6% 0% 0% 0% 0% 0% 0%
Tuvinians 13 0% 0% 42% 0% 35% 23% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Nganassans 9 0% 0% 28% 0% 56% 11% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Koryaks 10 0% 0% 40% 0% 50% 0% 10% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Chukchis 11 0% 0% 41% 0% 45% 9% 5% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Dai 10 0% 0% 35% 0% 10% 55% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Evenkis 11 0% 0% 32% 0% 45% 23% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Yakut 20 0% 0% 40% 0% 43% 18% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Hezhen 7 0% 0% 43% 0% 36% 21% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Xibo 9 0% 0% 11% 0% 44% 39% 0% 0% 0% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tu 8 0% 0% 13% 0% 31% 50% 0% 0% 0% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Tujia 10 0% 0% 5% 5% 45% 35% 10% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Yizu 10 0% 0% 35% 0% 15% 40% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 10%
Yukaghirs 4 0% 13% 38% 0% 38% 13% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Selkups 9 39% 44% 11% 0% 6% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Altaians 12 0% 4% 17% 0% 17% 21% 0% 0% 0% 8% 0% 0% 0% 4% 4% 0% 0% 0% 25%
Tadjik 14 7% 11% 18% 7% 36% 18% 4% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Uzbeks 15 3% 13% 27% 23% 13% 20% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Uygur 10 10% 0% 20% 0% 35% 35% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Buryats 15 7% 0% 10% 0% 57% 23% 3% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Egyptians 11 23% 0% 18% 18% 14% 18% 9% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Moroccan_Jews 12 33% 8% 17% 8% 8% 25% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Moroccans 7 0% 0% 29% 7% 7% 21% 29% 7% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Mozabite_Berber 18 6% 0% 44% 25% 0% 14% 6% 0% 0% 0% 3% 0% 0% 3% 0% 0% 0% 0% 0%
Ethiopian_Jews 10 5% 0% 15% 20% 0% 15% 15% 15% 0% 5% 0% 0% 0% 0% 0% 0% 0% 0% 10%
Ethiopians 19 8% 0% 16% 16% 11% 24% 11% 16% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Ethiopian_Afar 3 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Amhara 18 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Anuak 18 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Ari_blacksmith 6 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Ari_cultivator 15 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Gumuz 6 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Oromo 17 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Tigray 17 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Ethiopian_Wolayta 3 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Somali 14 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Sudanese 17 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Hadza 11 0% 0% 0% 0% 5% 0% 45% 9% 5% 32% 5% 0% 0% 0% 0% 0% 0% 0% 0%
Bantu 18 0% 0% 0% 0% 0% 0% 11% 28% 3% 3% 19% 0% 3% 0% 0% 0% 6% 0% 28%
Mandenka 18 0% 0% 8% 3% 19% 0% 11% 25% 3% 3% 11% 0% 0% 0% 0% 6% 0% 0% 11%
Mbuti_Pygmies 13 0% 0% 0% 0% 0% 15% 12% 31% 0% 4% 15% 0% 15% 0% 0% 0% 0% 0% 8%
Biaka_Pygmies 22 0% 0% 0% 14% 0% 9% 2% 36% 14% 2% 0% 7% 0% 2% 0% 0% 0% 0% 14%
San 31 2% 3% 10% 5% 3% 34% 2% 5% 0% 13% 6% 0% 0% 0% 0% 2% 0% 0% 16%
Sandawe 28 0% 0% 9% 23% 2% 14% 13% 11% 11% 4% 0% 0% 11% 0% 0% 0% 0% 0% 4%
African_American 33 2% 5% 5% 17% 3% 0% 9% 26% 6% 3% 2% 0% 0% 2% 2% 0% 0% 0% 21%
Peruvian 53 0% 0% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 100%
Colombian 30 8% 5% 13% 5% 17% 10% 3% 0% 0% 12% 0% 0% 0% 5% 3% 0% 2% 0% 17%
Ecuadorian 16 9% 3% 22% 6% 34% 6% 3% 0% 0% 3% 0% 0% 0% 0% 0% 0% 0% 0% 13%
Puerto_Rican 26 10% 6% 35% 6% 10% 8% 6% 8% 0% 0% 2% 0% 2% 0% 0% 2% 0% 0% 8%
Dominican 25 4% 4% 28% 4% 10% 12% 0% 8% 2% 6% 6% 0% 2% 2% 0% 0% 0% 0% 12%
Mexican 46 8% 1% ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 91%
West_Greenlanders 10 20% 15% 25% 0% 30% 5% 5% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
East_Greenlanders 7 14% 7% 21% 0% 14% 14% 0% 0% 0% 14% 0% 7% 0% 7% 0% 0% 0% 0% 0%
Pima 10 0% 0% 25% 0% 75% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Surui 3 17% 0% 33% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Karitiana 6 33% 0% 17% 0% 33% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 17%
Mayan 20 8% 0% 43% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
Denisova 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 100% 0% 0% 0% 0% 0% 0%
Neanderthal* 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 50% 0% 0% 0% 0% 50% 0%
*rs11635884=C and rs6497284=C predicted















ND: not determined




















Edit: July 02, 2013:

I got some questions why some populations have let's say 20% Branch/haplotype #1 and #2 but not 20% of the population has light eye colors. The reasons is because haplotype 1 and 2 are recessive.
Thus, in order to get light eye colors not one but 2 copies/alleles are needed, one inherited from the father, one from the mother.
How to calculate frequency of light eyes in a population based on my presented tables (based on the Hardy-Weinberg principle):
Frequency of light eyes in a population = (%ht1 +%ht2)2

Example1: Germans have 46% ht1 and 33% ht2.
(46%+33%)2
= (0.46 + 0.33)2
= 0.792
= 0.62
= 62%
62% of the Germans have light eye color based on the HERC2 genotype.


Related:
The color of the eyes: 7 HERC2 variants in the Kurdish gene pool 
The color of the eyes: 7 HERC2 variants in the Eurasian gene pool 
The color of the eyes: at least 17 HERC2 variants in Human gene pool