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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Dettagli Bibliografici
Autori principali: 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.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2013
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3655956/
https://ncbi.nlm.nih.gov/pubmed/23696881
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0064343
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