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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Detalles Bibliográficos
Autores principales: Aschard, Hugues, Guillemot, Vincent, Vilhjalmsson, Bjarni, Patel, Chirag J, Skurnik, David, Ye, Jimmy, Wolpin, Brian, Kraft, Peter, Zaitlen, Noah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797835/
https://www.ncbi.nlm.nih.gov/pubmed/29038595
http://dx.doi.org/10.1038/ng.3975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797835/
https://www.ncbi.nlm.nih.gov/pubmed/29038595
http://dx.doi.org/10.1038/ng.3975

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