MGAS: a powerful tool for multivariate gene-based genome-wide association analysis

Motivation: Standard genome-wide association studies, testing the association between one phenotype and a large number of single nucleotide polymorphisms (SNPs), are limited in two ways: (i) traits are often multivariate, and analysis of composite scores entails loss in statistical power and (ii) ge...

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Detalles Bibliográficos
Autores principales: Van der Sluis, Sophie, Dolan, Conor V., Li, Jiang, Song, Youqiang, Sham, Pak, Posthuma, Danielle, Li, Miao-Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382905/
https://www.ncbi.nlm.nih.gov/pubmed/25431328
http://dx.doi.org/10.1093/bioinformatics/btu783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382905/
https://www.ncbi.nlm.nih.gov/pubmed/25431328
http://dx.doi.org/10.1093/bioinformatics/btu783

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