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Deep whole-genome sequencing of 100 Southeast Asian Malays.

Tue, 2013-02-05 12:36 -- John Hawks
TitleDeep whole-genome sequencing of 100 Southeast Asian Malays.
Publication TypeJournal Article
Year of Publication2013
AuthorsWong, L-P, Ong, RT-H, Poh, W-T, Liu, X, Chen, P, Li, R, Lam, KK-Y, Pillai, NE, Sim, K-S, Xu, H, Sim, N-L, Teo, S-M, Foo, J-N, Tan, LW-L, Lim, Y, Koo, S-H, Gan, LS-H, Cheng, C-Y, Wee, S, Yap, EP-H, Ng, PC, Lim, W-Y, Soong, R, Wenk, MR, Aung, T, Wong, T-Y, Khor, C-C, Little, P, Chia, K-S, Teo, Y-Y
JournalAm J Hum Genet
Volume92
Issue1
Pagination52-66
Date Published2013 Jan 10
ISSN1537-6605
Keywordsasia, Malay, population structure, whole-genome
Abstract

Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (

DOI10.1016/j.ajhg.2012.12.005
Alternate JournalAm. J. Hum. Genet.
Citation KeyWong:Malays:2013
PubMed ID23290073

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