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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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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | 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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