Category Archives: Indian genomics

People of Indian subcontinental origin. South Asians. Are at higher risk for heart-related disease than other world populations. Probably every year one of the big newspapers has a feature focusing […]

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The Pith: Afro-Indians are mostly African, with a substantial Indian minority ancestry. The latter is disproportionately female mediated. It also seems that that ancestry is more northwest Indian, and that natural selection has been operating upon them…

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Two years ago Reconstructing Indian Genetic History reframed how we should view South Asian historical genomics. In short, Indians can be viewed as a hybrid between a West Eurasian group, “Ancestral North Indians” (ANI) and a very different…

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Zack Ajmal now has over 50 participants in the Harappa Ancestry Project. This does not include the Pakistani populations in the HGDP, the HapMap Gujaratis, the Indians from the SVGP. Nevertheless, all these samples still barely cover vast heart of Sout…

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Zack has been posting his data sources, as well as how he filtered and formatted them, all this week. I assume that the first wave of results will be online soon. As of yesterday, this is what he had (I know he got some more today):
– Punjab 7
– Bengal…

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Zack has been posting his data sources, as well as how he filtered and formatted them, all this week. I assume that the first wave of results will be online soon. As of yesterday, this is what he had (I know he got some more today):
– Punjab 7
– Bengal…

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Quick review. In the 19th century once the idea that humans were derived from non-human ancestral species was injected into the bloodstream of the intellectual classes there was an immediate debate as to the location of the proto-human homeland; the Urheimat of us all. Charles Darwin favored Africa, but in many ways this ran against the […]

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I have put up a few posts warning readers to be careful of confusing PCA plots with real genetic variation. PCA plots are just ways to capture variation in large data sets and extract out the independent dimensions. Its great at detecting population substructure because the largest components of variation often track between population differences, […]

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Razib Khan