Cargando…
Leveraging fine-mapping and multi-population training data to improve cross-population polygenic risk scores
Polygenic risk scores (PRS) suffer reduced accuracy in non-European populations, exacerbating health disparities. We propose PolyPred, a method that improves cross-population PRS by combining two predictors: a new predictor that leverages functionally informed fine-mapping to estimate causal effects...
Autores principales: | Weissbrod, Omer, Kanai, Masahiro, Shi, Huwenbo, Gazal, Steven, Peyrot, Wouter J., Khera, Amit V., Okada, Yukinori, Martin, Alicia R., Finucane, Hilary, Price, Alkes L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009299/ https://www.ncbi.nlm.nih.gov/pubmed/35393596 http://dx.doi.org/10.1038/s41588-022-01036-9 |
Ejemplares similares
-
Functionally-informed fine-mapping and polygenic localization of complex trait heritability
por: Weissbrod, Omer, et al.
Publicado: (2020) -
Population-specific causal disease effect sizes in functionally important regions impacted by selection
por: Shi, Huwenbo, et al.
Publicado: (2021) -
Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology
por: Wang, Ying, et al.
Publicado: (2023) -
Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs
por: Wang, Qingbo S., et al.
Publicado: (2021) -
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction
por: Sakaue, Saori, et al.
Publicado: (2020)