Improving polygenic prediction in ancestrally diverse populations

Y Ruan, YF Lin, YCA Feng, CY Chen, M Lam, Z Guo… - Nature …, 2022 - nature.com
Polygenic risk scores (PRS) have attenuated cross-population predictive performance. As
existing genome-wide association studies (GWAS) have been conducted predominantly in …

[HTML][HTML] Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics

J Miao, H Guo, G Song, Z Zhao, L Hou, Q Lu - Nature Communications, 2023 - nature.com
Polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of
Europeans are known to have substantially reduced predictive accuracy in non-European …

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores

O Weissbrod, M Kanai, H Shi, S Gazal, WJ Peyrot… - Nature Genetics, 2022 - nature.com
Polygenic risk scores suffer reduced accuracy in non-European populations, exacerbating
health disparities. We propose PolyPred, a method that improves cross-population …

Leveraging fine-mapping and non-European training data to improve cross-population polygenic risk scores

O Weissbrod, M Kanai, H Shi, S Gazal, WJ Peyrot… - MedRxiv, 2021 - medrxiv.org
Polygenic risk scores (PRS) based on European training data suffer reduced accuracy in
non-European target populations, exacerbating health disparities. This loss of accuracy …

A new method for multiancestry polygenic prediction improves performance across diverse populations

H Zhang, J Zhan, J Jin, J Zhang, W Lu, R Zhao… - Nature …, 2023 - nature.com
Polygenic risk scores (PRSs) increasingly predict complex traits; however, suboptimal
performance in non-European populations raise concerns about clinical applications and …

[PDF][PDF] A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits

M Cai, J Xiao, S Zhang, X Wan, H Zhao, G Chen… - The American Journal of …, 2021 - cell.com
The development of polygenic risk scores (PRSs) has proved useful to stratify the general
European population into different risk groups. However, PRSs are less accurate in non …

[HTML][HTML] Polygenic prediction via Bayesian regression and continuous shrinkage priors

T Ge, CY Chen, Y Ni, YCA Feng, JW Smoller - Nature communications, 2019 - nature.com
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 …

[HTML][HTML] Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

Y Wang, J Guo, G Ni, J Yang, PM Visscher… - Nature …, 2020 - nature.com
Polygenic scores (PGS) have been widely used to predict disease risk using variants
identified from genome-wide association studies (GWAS). To date, most GWAS have been …

[PDF][PDF] Inclusion of variants discovered from diverse populations improves polygenic risk score transferability

TB Cavazos, JS Witte - Human Genetics and Genomics Advances, 2021 - cell.com
The majority of polygenic risk scores (PRSs) have been developed and optimized in
individuals of European ancestry and may have limited generalizability across other …

[HTML][HTML] Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries

Y Liang, M Pividori, A Manichaikul, AA Palmer, NJ Cox… - Genome biology, 2022 - Springer
Background Polygenic risk scores (PRS) are valuable to translate the results of genome-
wide association studies (GWAS) into clinical practice. To date, most GWAS have been …