Sign in

Abstract

India, the most populous country, remains significantly underrepresented in the global genomics landscape. Previous efforts to catalog Indian genetic diversity were limited in scale, scope, and representation. Here, we present the GenomeIndia dataset, comprising whole genome sequences of 9,768 healthy individuals from 83 populations spanning the ethnolinguistic and biogeographic spectrum of India. We identify 129.93 million high-confidence biallelic variants, 44.03 million of which are previously unreported in global databases. In contrast to large populations that show steady population growth and internal homogeneity, we observe low effective population sizes, significant genetic drift, and profound homozygosity in small tribal groups, likely shaped by antiquity, isolation, and endogamy. We report multiple population-specific pharmacogenomic and deleterious variants, necessitating the integration of local genetic architecture and the inclusion of underrepresented South Asian genomes in global reference resources. Finally, we highlight the limited transferability of Eurocentric polygenic scores to Indian populations, and present an imputation panel that outperforms existing resources for both rare and common variants. Together, our work fills a significant gap in the equity of global human genomics, and paves way for precision medicine strategies that will benefit a quarter of the world population.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWall '20Higasa '25Datta '26Rophina '23Kerdoncuff '24Li '26
65% semantic matchGenomics
Jeffrey D. Wall, J. Fah Sathirapongsasuti, Ravi Kr Gupta+52 more·bioRxiv·Oct 2, 2020· 5 citations