HarappaWorld HRP0328-HRP0351

I have added the HarappaWorld Admixture results for HRP0328-HRP0351 to the individual spreadsheet.

Do note that the admixture components do not necessarily represent real ancestral populations. Also, the names I have chosen for the components should be thought of as mnemonics to ease discussion. I chose them based on which populations in my data these components peaked in. They do not tell anything directly about ancestral populations. The best way to look at these admixture results is by comparing individuals and populations. Finally, the standard error estimates on these results can be about 1%. Therefore, it is entirely possible that your 1% exotic admixture result is just noise.

I have also updated the group averages.

Since 10 of the 24 new participants are Punjabis (with 8 being Punjabi Jatts), I now have 33 Punjabis in HAP. Therefore, I will try to write about the Punjabi samples and their results next week.

Related Reading:

Genetic Evidence for Recent Population Mixture in India

Finally the paper I had been waiting for ever since the conference presentations on ANI-ASI admixture dating by Moorjani et al at Reich Lab is out:

Moorjani et al., Genetic Evidence for Recent Population Mixture in India, The American Journal of Human Genetics (2013), http://dx.doi.org/10.1016/j.ajhg.2013.07.006

Here's the abstract:

Most Indian groups descend from a mixture of two genetically divergent populations: Ancestral North Indians (ANI) related to Central Asians, Middle Easterners, Caucasians, and Europeans; and Ancestral South Indians (ASI) not closely related to groups outside the subcontinent. The date of mixture is unknown but has implications for understanding Indian history. We report genome-wide data from 73 groups from the Indian subcontinent and analyze linkage disequilibrium to estimate ANI-ASI mixture dates ranging from about 1,900 to 4,200 years ago. In a subset of groups, 100% of the mixture is consistent with having occurred during this period. These results show that India experienced a demographic transformation several thousand years ago, from a region in which major population mixture was common to one in which mixture even between closely related groups became rare because of a shift to endogamy.

In this paper, Moorjani et al calculate ANI (Ancestral North Indian) percentage as:

ANI\% = {f_4(Yoruba, Basque; India, Onge) \over f_4(Yoruba, Basque; Georgian, Onge)}

From Reich et al, they changed the outgroup from Papuan to Yoruba and the ANI clade group from CEU (Utahn Whites) to Georgians. I think both are much better choices. Looking at the D-statistics in Table S2, Georgians are definitely an appropriate choice for forming a clade with ANI.

rolloff-dravidian-indoeuropean

Another important result from the paper is the difference in the date of admixture for Dravidians (108 generations or 3,132 years) and Indo-Europeans (72 generations = 2,088 years).

Testing for multiple waves of admixture, they find that it is more likely in upper-caste and middle-caste Indo-Europeans and the admixture history of a lot of Indian groups is more complex.
ANI-ASI-single-admixture

UPDATE: Razib and Dienekes comment.

Bengalis

Let's take a look at the Bengali participants of the Harappa Ancestry Project.

I have added a suffix to the IDs where B = Brahmin, V = Vaidya and M = Muslim.

Here are the HarappaWorld Admixture results for the Bengalis which you can also see in a spreadsheet.

It's easy to see the difference between the Brahmins and others.

Razib wanted to know the origin of the East Asian ancestry among the Bengalis. So I ran a supervised ADMIXTURE with the following populations set as ancestral:

  • Altaian
  • Burmanese
  • Buryat
  • Cambodian
  • Chukchi
  • Dai
  • Daur
  • Dolgan
  • Evenki
  • Georgian
  • Gujarati-A
  • Han
  • Han-NChina
  • Hezhen
  • Japanese
  • Ket
  • Kinh
  • Koryak
  • Lahu
  • Miao
  • Mongola
  • Mongolian
  • Naxi
  • Nganassan
  • Oroqen
  • Selkup
  • She
  • Singapore-Malay
  • Tibet
  • Tu
  • Tujia
  • Tuvinian
  • Xibo
  • Yakut
  • Yi
  • Yukaghir

While most of these populations are various East Asian groups, I used the Gujarati-A as the South Asian group since it has the most South Indian + Baloch components without any East Asian influence. I used the Georgians as a proxy for West Asian ancestry.

Since it's K=36, I ran ADMIXTURE 10 times with different seeds and computed the average percentages for the Bengali participants. The number of SNPs was about 85,565. I did a similar analysis at K=35 after excluding the Tibetans, which got me 263,000 SNPs. The results were broadly similar.

I am showing only the first 12 ancestral components since all the rest were less than 0.5% for all the Bengalis (Spreadsheet).

Please do remember that in supervised ADMIXTURE, I assign the ancestral populations and the algorithm has to find the best fit using those populations. So it's not showing actual ancestry but broad affinity. Also, the exact percentages are not important and can vary when I change the parameters of the analysis. Just look at the broad trends.

The general pattern is that Bengali Brahmins have the least Eastern Eurasian and the most West Asian. The Eastern Eurasian ethnicity most closely related to Bengalis is Burmese.

Interestingly, there is a pattern of a small amount of Siberian ancestry among these Bengalis. Let's add all the Siberian and Russian Far East groups.

ID Ethnicity Siberian
HRP0244 West Bengal Rajput 5.07%
HRP0077B Bengali Brahmin 5.01%
HRP0049 Bengali 4.45%
HRP0252B Bengali Brahmin 4.01%
HRP0268B Bengali Brahmin 3.90%
HRP0023M Bengali Muslim 3.54%
HRP0316B Bengali Brahmin 3.45%
HRP0054B Bengali Brahmin 3.41%
HRP0300M Bengali Muslim 2.95%
HRP0240V Bengali Vaidya 1.78%
HRP0293B Bengali Brahmin 1.02%
HRP0291V Bengali Vaidya 0.99%
HRP0317M Bengali Muslim 0.89%
HRP0321M Bengali Muslim 0.58%
HRP0322M Bengali Muslim 0.41%
HRP0022M Bengali Muslim 0.37%
HRP0091B Bengali Brahmin 0.01%

I am not sure of the pattern here, but at least the first few are above noise thresholds.

Related Reading:

An Analysis of HAP by Razib

Razib Khan looked over the HarappaWorld Admixture results and posted his analysis on his GNXP blog. Go read it.

Related Reading:

Comments: Signal vs Noise

Recently there has been a lot of noise in the comments here with very little real information. That is a waste of time and effort for everyone.

I would appreciate if all of you thought about any comments you plan to make. The stronger your belief in a proposition, the more you should hesitate before posting it.

One thing you should keep in mind is that I know more than you do. I do not mean that as a boast but as a fact. Of course, I do not know the esoterica of South Asian caste divisions, religious rituals and cultural practices. It can even be said that my knowledge of Indian history is inferior to that of European, American and Near Eastern history. However, when participants send me their data, they are generous with their personal information. I have a lot more information about their ethnic backgrounds than is public, due to privacy concerns. Another factor is that a lot of the analyses I run do not end up here due to various reasons. But I use them in creating a complete picture. These two things give me an unfair advantage over you guys.

Generally, I have kept a very light hand on the comment section. This might have to do with this being my hobby. Thus I do not have time to control the conversation and reduce the noise. And I also feel that I have much to learn about history and genetics from all comers.

However, recently I feel that I need to run a much tighter ship so discussions are useful and on-topic and not the hobby horses of a few crazed people. I might have to take a page from my friend Razib Khan's comment policy and be very strict about deleting, warning and banning.

Related Reading:

Haber et al Lebanon Data

Haber et al published a paper Genome-Wide Diversity in the Levant Reveals Recent Structuring by Culture in PLoS Genetics. Here's their abstract:

The Levant is a region in the Near East with an impressive record of continuous human existence and major cultural developments since the Paleolithic period. Genetic and archeological studies present solid evidence placing the Middle East and the Arabian Peninsula as the first stepping-stone outside Africa. There is, however, little understanding of demographic changes in the Middle East, particularly the Levant, after the first Out-of-Africa expansion and how the Levantine peoples relate genetically to each other and to their neighbors. In this study we analyze more than 500,000 genome-wide SNPs in 1,341 new samples from the Levant and compare them to samples from 48 populations worldwide. Our results show recent genetic stratifications in the Levant are driven by the religious affiliations of the populations within the region. Cultural changes within the last two millennia appear to have facilitated/maintained admixture between culturally similar populations from the Levant, Arabian Peninsula, and Africa. The same cultural changes seem to have resulted in genetic isolation of other groups by limiting admixture with culturally different neighboring populations. Consequently, Levant populations today fall into two main groups: one sharing more genetic characteristics with modern-day Europeans and Central Asians, and the other with closer genetic affinities to other Middle Easterners and Africans. Finally, we identify a putative Levantine ancestral component that diverged from other Middle Easterners ~23,700–15,500 years ago during the last glacial period, and diverged from Europeans ~15,900–9,100 years ago between the last glacial warming and the start of the Neolithic.

They also released their data consisting of 75 Lebanese from different regions of the country, with 25 samples each for Muslims, Druze and Christians.

Here are the HarappaWorld admixture results for the Lebanese.

You can check the spreadsheet too.

As the authors mention in the summary:

Population stratification caused by nonrandom mating between groups of the same species is often due to geographical distances leading to physical separation followed by genetic drift of allele frequencies in each group. In humans, population structures are also often driven by geographical barriers or distances; however, humans might also be structured by abstract factors such as culture, a consequence of their reasoning and self-awareness. Religion in particular, is one of the unusual conceptual factors that can drive human population structures. This study explores the Levant, a region flanked by the Middle East and Europe, where individual and population relationships are still strongly influenced by religion. We show that religious affiliation had a strong impact on the genomes of the Levantines. In particular, conversion of the region's populations to Islam appears to have introduced major rearrangements in populations' relations through admixture with culturally similar but geographically remote populations, leading to genetic similarities between remarkably distant populations like Jordanians, Moroccans, and Yemenis. Conversely, other populations, like Christians and Druze, became genetically isolated in the new cultural environment. We reconstructed the genetic structure of the Levantines and found that a pre-Islamic expansion Levant was more genetically similar to Europeans than to Middle Easterners.

the Lebanese can be grouped better based on religion than region. That's why I am using group averages by religion.

Related Reading:

HarappaWorld HRP0312-HRP0327

I have added the HarappaWorld Admixture results for HRP0312-HRP0327 to the individual spreadsheet.

Do note that the admixture components do not necessarily represent real ancestral populations. Also, the names I have chosen for the components should be thought of as mnemonics to ease discussion. I chose them based on which populations in my data these components peaked in. They do not tell anything directly about ancestral populations. The best way to look at these admixture results is by comparing individuals and populations. Finally, the standard error estimates on these results can be about 1%. Therefore, it is entirely possible that your 1% exotic admixture result is just noise.

I have also updated the group averages.

I got a participant from the Geno 2.0 Project, HRP0326 an Afghan Pashtun. While I have calculated their HarappaWorld Admixture results, please note that Geno2 has only about 14,000 SNPs in common with HarappaWorld. Thus these results are very noisy.

Related Reading:

Gujaratis HarappaWorld Admixture

Someone asked for the individual HarappaWorld Admixture results for the Gujarati B from HapMap.

To refresh your memory, the Gujarati B are those individuals who do not form part of the big closely clustered Gujarati cluster.

I decided to include HGDP Sindhis as well as Gujaratis, Rajasthanis, Maharashtrians, etc from Harappa Ancestry Project in the list so the Gujaratis can be compared to the people of neighboring regions.

You can check the spreadsheet too.

UPDATE: I have added the Thathai Bhatia and Halai Bhatia participants that I had forgotten.

Related Reading:

Pathan/Pashtun Admixture Results

Someone asked for the individual HarappaWorld Admixture results for the Pathans and Pashtuns from HGDP (23) and Harappa Ancestry Project (3). So here they are.

You can check the spreadsheet too.

Related Reading:

HarappaWorld Oracle Update

I have updated HarappaWorld Oracle with the latest group averages.

You can download it and use the instructions here and here.

Also, please note the limitations of the Oracle.

Related Reading: