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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...

詳細記述

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書誌詳細
出版年:Nat Genet
主要な著者: Aschard, Hugues, Guillemot, Vincent, Vilhjalmsson, Bjarni, Patel, Chirag J, Skurnik, David, Ye, Jimmy, Wolpin, Brian, Kraft, Peter, Zaitlen, Noah
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
オンライン・アクセス: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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