posted on 2019-07-01, 10:33authored byE Arciero, T Kraaijenbrink, Asan, M Haber, M Mezzavilla, Q Ayub, W Wang, Z Pingcuo, H Yang, J Wang, MA Jobling, G van Driem, Y Xue, P de Knijff, C Tyler-Smith
We genotyped 738 individuals belonging to 49 populations from Nepal, Bhutan, North India, or Tibet at over 500,000 SNPs, and analyzed the genotypes in the context of available worldwide population data in order to investigate the demographic history of the region and the genetic adaptations to the harsh environment. The Himalayan populations resembled other South and East Asians, but in addition displayed their own specific ancestral component and showed strong population structure and genetic drift. We also found evidence for multiple admixture events involving Himalayan populations and South/East Asians between 200 and 2,000 years ago. In comparisons with available ancient genomes, the Himalayans, like other East and South Asian populations, showed similar genetic affinity to Eurasian hunter-gatherers (a 24,000-year-old Upper Palaeolithic Siberian), and the related Bronze Age Yamnaya. The high-altitude Himalayan populations all shared a specific ancestral component, suggesting that genetic adaptation to life at high altitude originated only once in this region and subsequently spread. Combining four approaches to identifying specific positively selected loci, we confirmed that the strongest signals of high-altitude adaptation were located near the Endothelial PAS domain-containing protein 1 and Egl-9 Family Hypoxia Inducible Factor 1 loci, and discovered eight additional robust signals of high-altitude adaptation, five of which have strong biological functional links to such adaptation. In conclusion, the demographic history of Himalayan populations is complex, with strong local differentiation, reflecting both genetic and cultural factors; these populations also display evidence of multiple genetic adaptations to high-altitude environments.
Funding
We thank all the sample donors for participating in this project, the Sanger Institute’s core Sample Logistics and Genotyping Facilities, and Hui Jiang, Bo Wang, Haorong Lu, and other team members from the Genotyping platform of BGI-Shenzhen for their assistance in genotyping. We also thank Anna Di Rienzo for help with the ancient Himalayan data. E.A., Q.A., Y.X., M.M., M.H., and C.T.-S. were supported by Wellcome (098051), T.K. and P.d.K. by a grant from The Netherlands Genomics Initiative/Netherlands Organization for Scientific Research (NWO) within the framework of the Forensic Genomics Consortium Netherlands, Asan, W.W. and J.W. by BGI-Shenzhen, and M.A.J. by a Wellcome Senior Fellowship (087576).
History
Citation
Molecular Biology and Evolution, 2018, 35 (8), pp. 1916-1933
Author affiliation
/Organisation/COLLEGE OF LIFE SCIENCES/Biological Sciences/Genetics and Genome Biology
Version
VoR (Version of Record)
Published in
Molecular Biology and Evolution
Publisher
Oxford University Press (OUP) for Society for Molecular Biology and Evolution
Supplementary data are available at Molecular Biology and Evolution online. All the genotype data are available from European Genome-phenome Archive under accession number EGAS00001002731.
Web Resources
Ensembl VEP: http://grch37.ensembl.org/info/docs/tools/vep/index.html, last accessed May 10, 2018
GTEx Portal: https://www.gtexportal.org, last accessed May 10, 2018
Phyre2: http://www.sbg.bio.ic.ac.uk/phyre2, last accessed May 10, 2018
PLINK: https://www.cog-genomics.org/plink2, last accessed May 10, 2018
PyMOL: https://www.pymol.org/, last accessed May 10, 2018
STRING: http://string-db.org, last accessed May 10, 2018
Combined Annotation Dependent Depletion (CADD): http://cadd.gs.washington.edu/, last accessed May 10, 2018