Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes

We introduce cross-trait penalized regression (CTPR), a powerful and practical approach for multi-trait polygenic risk prediction in large cohorts. Specifically, we propose a novel cross-trait penalty function with the Lasso and the minimax concave penalty (MCP) to incorporate the shared genetic eff...

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Detalles Bibliográficos
Autores principales: Chung, Wonil, Chen, Jun, Turman, Constance, Lindstrom, Sara, Zhu, Zhaozhong, Loh, Po-Ru, Kraft, Peter, Liang, Liming
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/PMC6361917/
https://www.ncbi.nlm.nih.gov/pubmed/30718517
http://dx.doi.org/10.1038/s41467-019-08535-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361917/
https://www.ncbi.nlm.nih.gov/pubmed/30718517
http://dx.doi.org/10.1038/s41467-019-08535-0

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