Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

Summary: Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies. We hypothesized that methods that leverage shared regulatory effects ac...

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Bibliographic Details
Main Authors: Daniel S. Araujo, Chris Nguyen, Xiaowei Hu, Anna V. Mikhaylova, Chris Gignoux, Kristin Ardlie, Kent D. Taylor, Peter Durda, Yongmei Liu, George Papanicolaou, Michael H. Cho, Stephen S. Rich, Jerome I. Rotter, Hae Kyung Im, Ani Manichaikul, Heather E. Wheeler
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:HGG Advances
Subjects:
genetics
genomics
human genetics
transcriptome-wide association studies
transcriptome prediction
multivarite adaptive shrinkage
Online Access:http://www.sciencedirect.com/science/article/pii/S2666247723000489

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