Extremely low-coverage sequencing and imputation increases power for genome-wide association studies-Reference-Cited by-同舟云学术

Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

Published:2012-05-20 Issue:6 Volume:44 Page:631-635
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Pasaniuc Bogdan,Rohland Nadin,McLaren Paul J,Garimella Kiran,Zaitlen Noah,Li Heng,Gupta Namrata,Neale Benjamin M,Daly Mark J,Sklar Pamela,Sullivan Patrick F,Bergen Sarah,Moran Jennifer L,Hultman Christina M,Lichtenstein Paul,Magnusson Patrik,Purcell Shaun M,Haas David W,Liang Liming,Sunyaev Shamil,Patterson Nick,de Bakker Paul I W,Reich David,Price Alkes L

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Link

http://www.nature.com/articles/ng.2283.pdf

Reference29 articles.

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3. DePristo, M.A. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 43, 491–498 (2011).

4. Marchini, J. & Howie, B. Genotype imputation for genome-wide association studies. Nat. Rev. Genet. 11, 499–511 (2010).

5. Altshuler, D.M. et al. Integrating common and rare genetic variation in diverse human populations. Nature 467, 52–58 (2010).

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