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...

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Detalles Bibliográficos
Autores principales: So, Hon-Cheong, Sham, Pak C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286518/
https://www.ncbi.nlm.nih.gov/pubmed/28145530
http://dx.doi.org/10.1038/srep41262

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