| Literature DB >> 31626772 |
Degang Wu1, Jinzhuang Dou2, Xiaoran Chai3, Claire Bellis4, Andreas Wilm5, Chih Chuan Shih5, Wendy Wei Jia Soon6, Nicolas Bertin7, Clarabelle Bitong Lin8, Chiea Chuen Khor8, Michael DeGiorgio9, Shanshan Cheng10, Li Bao10, Neerja Karnani11, William Ying Khee Hwang12, Sonia Davila13, Patrick Tan14, Asim Shabbir15, Angela Moh16, Eng-King Tan17, Jia Nee Foo18, Liuh Ling Goh19, Khai Pang Leong20, Roger S Y Foo21, Carolyn Su Ping Lam22, Arthur Mark Richards23, Ching-Yu Cheng24, Tin Aung24, Tien Yin Wong24, Huck Hui Ng25, Jianjun Liu26, Chaolong Wang27.
Abstract
Underrepresentation of Asian genomes has hindered population and medical genetics research on Asians, leading to population disparities in precision medicine. By whole-genome sequencing of 4,810 Singapore Chinese, Malays, and Indians, we found 98.3 million SNPs and small insertions or deletions, over half of which are novel. Population structure analysis demonstrated great representation of Asian genetic diversity by three ethnicities in Singapore and revealed a Malay-related novel ancestry component. Furthermore, demographic inference suggested that Malays split from Chinese ∼24,800 years ago and experienced significant admixture with East Asians ∼1,700 years ago, coinciding with the Austronesian expansion. Additionally, we identified 20 candidate loci for natural selection, 14 of which harbored robust associations with complex traits and diseases. Finally, we show that our data can substantially improve genotype imputation in diverse Asian and Oceanian populations. These results highlight the value of our data as a resource to empower human genetics discovery across broad geographic regions.Entities:
Keywords: Asian populations; GWAS; admixture; demographic history; genetic diversity; imputation; natural selection; population structure; precision medicine; whole-genome sequencing
Mesh:
Year: 2019 PMID: 31626772 DOI: 10.1016/j.cell.2019.09.019
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582