An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations

BACKGROUND: Genome wide association studies (GWAS) are becoming the approach of choice to identify genetic determinants of complex phenotypes and common diseases. The astonishing amount of generated data and the use of distinct genotyping platforms with variable genomic coverage are still analytical...

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Auteurs principaux: Almeida, Marcio AA, Oliveira, Paulo SL, Pereira, Tiago V, Krieger, José E, Pereira, Alexandre C
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2011
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3224203/
https://ncbi.nlm.nih.gov/pubmed/21251252
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-12-10
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