Extremely low-coverage whole genome sequencing in South Asians captures population genomics information-Reference-Cited by-同舟云学术

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Extremely low-coverage whole genome sequencing in South Asians captures population genomics information

Published:2017-05-22 Issue:1 Volume:18 Page:
ISSN:1471-2164
Container-title:BMC Genomics
language:en
Short-container-title:BMC Genomics

Author:

Rustagi Navin,Zhou Anbo,Watkins W. Scott,Gedvilaite Erika,Wang Shuoguo,Ramesh Naveen,Muzny Donna,Gibbs Richard A.,Jorde Lynn B.,Yu Fuli,Xing Jinchuan

Funder

National Human Genome Research Institute

National Institute of General Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s12864-017-3767-6.pdf

Reference58 articles.

1. Goodwin S, McPherson JD, McCombie WR. Coming of age: ten years of next-generation sequencing technologies. Nat Rev Genet. 2016;17:333–51.

2. 1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini JL, McCarthy S, McVean GA, Abecasis GR. A global reference for human genetic variation. Nature. 2015;526:68–74.

3. Psaty BM, O’Donnell CJ, Gudnason V, Lunetta KL, Folsom AR, Rotter JI, Uitterlinden AG, Harris TB, Witteman JCM, Boerwinkle E. Cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009;2:73–80.

4. Li Y, Sidore C, Kang HM, Boehnke M, Abecasis GR. Low-coverage sequencing: implications for design of complex trait association studies. Genome Res. 2011;21:940–51.

5. Fumagalli M, Vieira FG, Korneliussen TS, Linderoth T, Huerta-Sanchez E, Albrechtsen A, Nielsen R. Quantifying population genetic differentiation from next-generation sequencing data. Genetics. 2013;195:979–92.

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