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: Wood, Andrew R., Perry, John R. B., Tanaka, Toshiko, Hernandez, Dena G., Zheng, Hou-Feng, Melzer, David, Gibbs, J. Raphael, Nalls, Michael A., Weedon, Michael N., Spector, Tim D., Richards, J. Brent, Bandinelli, Stefania, Ferrucci, Luigi, Singleton, Andrew B., Frayling, Timothy M.
Format: Online
Language:English
Published: Public Library of Science 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655956/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655956/

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