Cargando…
Polygenic prediction via Bayesian regression and continuous shrinkage priors
Polygenic risk scores (PRS) have shown promise in predicting human complex traits and diseases. Here, we present PRS-CS, a polygenic prediction method that infers posterior effect sizes of single nucleotide polymorphisms (SNPs) using genome-wide association summary statistics and an external linkage...
Autores principales: | Ge, Tian, Chen, Chia-Yen, Ni, Yang, Feng, Yen-Chen Anne, Smoller, Jordan W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467998/ https://www.ncbi.nlm.nih.gov/pubmed/30992449 http://dx.doi.org/10.1038/s41467-019-09718-5 |
Ejemplares similares
-
An Improved Bayesian Shrinkage Regression Algorithm for Genomic Selection
por: Zhang, Jin, et al.
Publicado: (2022) -
Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction
por: Zhuang, Yongwen, et al.
Publicado: (2023) -
Improving Polygenic Prediction in Ancestrally Diverse Populations
por: Ruan, Yunfeng, et al.
Publicado: (2022) -
Improved polygenic prediction by Bayesian multiple regression on summary statistics
por: Lloyd-Jones, Luke R., et al.
Publicado: (2019) -
Polygenic pleiotropy and potential causal relationships between educational attainment, neurobiological profile, and positive psychotic symptoms
por: Lin, Yen-Feng, et al.
Publicado: (2018)