Joint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error

In genome-wide association studies (GWAS), joint analysis of multiple phenotypes could have increased statistical power over analyzing each phenotype individually to identify genetic variants that are associated with complex diseases. With this motivation, several statistical methods that jointly an...

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Detalles Bibliográficos
Autores principales: Yang, Xinlan, Zhang, Shuanglin, Sha, Qiuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355816/
https://www.ncbi.nlm.nih.gov/pubmed/30705317
http://dx.doi.org/10.1038/s41598-018-37538-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355816/
https://www.ncbi.nlm.nih.gov/pubmed/30705317
http://dx.doi.org/10.1038/s41598-018-37538-y

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