[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 …

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] PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics

Z Zhao, Y Yi, J Song, Y Wu, X Zhong, Y Lin, TJ Hohman… - Genome biology, 2021 - Springer
Polygenic risk scores (PRSs) have wide applications in human genetics research, but often
include tuning parameters which are difficult to optimize in practice due to limited access to …

Novel methods for multi-ancestry polygenic prediction and their evaluations in 5.1 million individuals of diverse ancestry

H Zhang, J Zhan, J Jin, J Zhang, W Lu, R Zhao… - BioRxiv, 2022 - biorxiv.org
Polygenic risk scores are becoming increasingly predictive of complex traits, but their
suboptimal performance in non-European ancestry populations raises questions about their …

[PDF][PDF] Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology

Y Wang, M Kanai, T Tan, M Kamariza, K Tsuo, K Yuan… - Cell Genomics, 2023 - cell.com
Polygenic risk scores (PRSs) developed from multi-ancestry genome-wide association
studies (GWASs), PRS multi, hold promise for improving PRS accuracy and generalizability …

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis

J Xiao, M Cai, X Hu, X Wan, G Chen, C Yang - Bioinformatics, 2022 - academic.oup.com
Motivation As increasing sample sizes from genome-wide association studies (GWASs),
polygenic risk scores (PRSs) have shown great potential in personalized medicine with …

[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 …

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 …

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 …

[HTML][HTML] Winner's curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level …

J Shi, JH Park, J Duan, ST Berndt, W Moy, K Yu… - PLoS …, 2016 - journals.plos.org
Recent heritability analyses have indicated that genome-wide association studies (GWAS)
have the potential to improve genetic risk prediction for complex diseases based on …