Principles and methods for transferring polygenic risk scores across global populations

L Kachuri, N Chatterjee, J Hirbo, DJ Schaid… - Nature Reviews …, 2024 - nature.com
Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait
or disease and may become a valuable tool for advancing precision medicine. However …

A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease

AP Patel, M Wang, Y Ruan, S Koyama, SL Clarke… - Nature Medicine, 2023 - nature.com
Identification of individuals at highest risk of coronary artery disease (CAD)—ideally before
onset—remains an important public health need. Prior studies have developed genome …

Recent advances in polygenic scores: translation, equitability, methods and FAIR tools

R Xiang, M Kelemen, Y Xu, LW Harris, H Parkinson… - Genome Medicine, 2024 - Springer
Polygenic scores (PGS) can be used for risk stratification by quantifying individuals' genetic
predisposition to disease, and many potentially clinically useful applications have been …

Polygenic scoring accuracy varies across the genetic ancestry continuum

Y Ding, K Hou, Z Xu, A Pimplaskar, E Petter, K Boulier… - Nature, 2023 - nature.com
Polygenic scores (PGSs) have limited portability across different groupings of individuals (for
example, by genetic ancestries and/or social determinants of health), preventing their …

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 …

Addressing the challenge of biomedical data inequality: An artificial intelligence perspective

Y Gao, T Sharma, Y Cui - Annual review of biomedical data …, 2023 - annualreviews.org
Artificial intelligence (AI) and other data-driven technologies hold great promise to transform
healthcare and confer the predictive power essential to precision medicine. However, the …

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

J Zhang, J Zhan, J Jin, C Ma, R Zhao… - Nature …, 2024 - nature.com
Great efforts are being made to develop advanced polygenic risk scores (PRS) to improve
the prediction of complex traits and diseases. However, most existing PRS are primarily …

Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases

B Truong, LE Hull, Y Ruan, QQ Huang, W Hornsby… - Cell Genomics, 2024 - cell.com
Polygenic risk scores (PRSs) are an emerging tool to predict the clinical phenotypes and
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …

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 …

MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups

J Jin, J Zhan, J Zhang, R Zhao, J O'Connell, Y Jiang… - Cell Genomics, 2024 - cell.com
Polygenic risk scores (PRSs) are now showing promising predictive performance on a wide
variety of complex traits and diseases, but there exists a substantial performance gap across …