Molecular Biology and EvolutionGeneticsPeer-reviewed journal article
A comprehensive map of genetic variation in the world’s largest ethnic group - Han Chinese
Charleston W. K. ChiangiD, Serghei ManguliD, Christopher R. RoblesiD, Warren W. KretzschmariD, Na CaiiD, Kenneth S. KendleriD, Sriram Sankararam, Jonathan Flint CiD
Abstract
As are most non-European populations around the globe, the Han Chinese are relatively understudied in population and medical genetics studies. From low-coverage whole-genome sequencing of 11,670 Han Chinese women we present a catalog of 25,057,223 variants, including 548,401 novel variants that are seen at least 10 times in our dataset. Individuals from our study come from 19 out of 22 provinces across China, allowing us to study population structure, genetic ancestry, and local adaptation in Han Chinese. We identify previously unrecognized population structure along the East-West axis of China and report unique signals of admixture across geographical space, such as European influences among the Northwestern provinces of China. Finally, we identified a number of highly differentiated loci, indicative of local adaptation in the Han Chinese. In particular, we detected extreme differentiation among the Han Chinese at MTHFR, ADH7, and FADS loci, suggesting that these loci may not be specifically selected in Tibetan and Inuit populations as previously suggested. On the other hand, we find that Neandertal ancestry does not vary significantly across the provinces, consistent with admixture prior to the dispersal of modern Han Chinese. Furthermore, contrary to a previous report, Neandertal ancestry does not explain a significant amount of heritability in depression. Our findings provide the largest genetic data set so far made available for Han Chinese and provide insights into the history and population structure of the worlds largest ethnic group.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: genome assembly
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 90
- FWCI
- 6.59
- Field percentile
- top 2%
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