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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |