An ensemble penalized regression method for multi-ancestry polygenic risk prediction
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 …
the prediction of complex traits and diseases. However, most existing PRS are primarily …
A new method for multiancestry polygenic prediction improves performance across diverse populations
Polygenic risk scores (PRSs) increasingly predict complex traits; however, suboptimal
performance in non-European populations raise concerns about clinical applications and …
performance in non-European populations raise concerns about clinical applications and …
Novel methods for multi-ancestry polygenic prediction and their evaluations in 5.1 million individuals of diverse ancestry
Polygenic risk scores are becoming increasingly predictive of complex traits, but their
suboptimal performance in non-European ancestry populations raises questions about 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
Polygenic risk scores (PRSs) developed from multi-ancestry genome-wide association
studies (GWASs), PRS multi, hold promise for improving PRS accuracy and generalizability …
studies (GWASs), PRS multi, hold promise for improving PRS accuracy and generalizability …
Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes
We introduce cross-trait penalized regression (CTPR), a powerful and practical approach for
multi-trait polygenic risk prediction in large cohorts. Specifically, we propose a novel cross …
multi-trait polygenic risk prediction in large cohorts. Specifically, we propose a novel cross …
[PDF][PDF] A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits
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 …
European population into different risk groups. However, PRSs are less accurate in non …
[HTML][HTML] Multiethnic polygenic risk prediction in diverse populations through transfer learning
Polygenic risk scores (PRS) leverage the genetic contribution of an individual's genotype to
a complex trait by estimating disease risk. Traditional PRS prediction methods are …
a complex trait by estimating disease risk. Traditional PRS prediction methods are …
PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
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 …
include tuning parameters which are difficult to optimize in practice due to limited access to …
A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - Taylor & Francis
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
BridgePRS: A powerful trans-ancestry Polygenic Risk Score method
Abstract Polygenic Risk Scores (PRS) have huge potential to contribute to biomedical
research and to a future of precision medicine, but to date their calculation relies largely on …
research and to a future of precision medicine, but to date their calculation relies largely on …