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Covariate Selection for Association Screening in Multi-Phenotype Genetic studies

Testing for associations in big data faces the problem of multiple comparisons, with true signals difficult to detect on the background of all associations queried. This is particularly true in human genetic association studies where phenotypic variation is often driven by numerous variants of small...

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Опубликовано в: :Nat Genet
Главные авторы: Aschard, Hugues, Guillemot, Vincent, Vilhjalmsson, Bjarni, Patel, Chirag J, Skurnik, David, Ye, Jimmy, Wolpin, Brian, Kraft, Peter, Zaitlen, Noah
Формат: Artigo
Язык:Inglês
Опубликовано: 2017
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5797835/
https://ncbi.nlm.nih.gov/pubmed/29038595
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ng.3975
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