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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Detalles Bibliográficos
Autores principales: Almeida, Marcio AA, Oliveira, Paulo SL, Pereira, Tiago V, Krieger, José E, Pereira, Alexandre C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224203/
https://www.ncbi.nlm.nih.gov/pubmed/21251252
http://dx.doi.org/10.1186/1471-2156-12-10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224203/
https://www.ncbi.nlm.nih.gov/pubmed/21251252
http://dx.doi.org/10.1186/1471-2156-12-10

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