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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Hlavní autoři: Almeida, Marcio AA, Oliveira, Paulo SL, Pereira, Tiago V, Krieger, José E, Pereira, Alexandre C
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2011
Témata:
Research Article
On-line přístup: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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