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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Veröffentlicht in:Nat Genet
Hauptverfasser: Aschard, Hugues, Guillemot, Vincent, Vilhjalmsson, Bjarni, Patel, Chirag J, Skurnik, David, Ye, Jimmy, Wolpin, Brian, Kraft, Peter, Zaitlen, Noah
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
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Article
Online Zugang: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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