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

J Zhang, J Zhan, J **, 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 …

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

J **, 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 …

[PDF][PDF] Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations

K Hou, S Gogarten, J Kim, X Hua, JA Dias, Q Sun… - …, 2024 - academic.oup.com
Admixed populations, with their unique and diverse genetic backgrounds, are often
underrepresented in genetic studies. This oversight not only limits our understanding but …

Ensembled best subset selection using summary statistics for polygenic risk prediction

T Chen, H Zhang, R Mazumder, X Lin - bioRxiv, 2023 - biorxiv.org
Polygenic risk scores (PRS) enhance population risk stratification and advance
personalized medicine, yet existing methods face a tradeoff between predictive power and …

INCREASING DIVERSITY WITH STATISTICAL METHODS IN GENETICS STUDIES

Q Sun - 2024 - cdr.lib.unc.edu
With the development of genoty** and sequencing technologies, genetics data have
become increasingly available, making genetic studies unprecedentedly flourishing …