Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation.

Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation.

Genome-wide association (GWA) studies have been limited by the reliance on common variants present on microarrays or imputable from the HapMap Project data. More recently, the completion of the 1000 Genomes Project has provided variant and haplotype information for several million variants derived f...

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Bibliographic Details
Main Authors: Andrew R Wood, John R B Perry, Toshiko Tanaka, Dena G Hernandez, Hou-Feng Zheng, David Melzer, J Raphael Gibbs, Michael A Nalls, Michael N Weedon, Tim D Spector, J Brent Richards, Stefania Bandinelli, Luigi Ferrucci, Andrew B Singleton, Timothy M Frayling
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3655956?pdf=render

Internet

http://europepmc.org/articles/PMC3655956?pdf=render

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