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Improving polygenic risk prediction from summary statistics by an empirical Bayes approach
Polygenic risk scores (PRS) from genome-wide association studies (GWAS) are increasingly used to predict disease risks. However some included variants could be false positives and the raw estimates of effect sizes from them may be subject to selection bias. In addition, the standard PRS approach req...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286518/ https://www.ncbi.nlm.nih.gov/pubmed/28145530 http://dx.doi.org/10.1038/srep41262 |