A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study.

A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study.

Genome-wide association studies (GWAS) have successfully identified tens of thousands of genetic variants associated with various phenotypes, but together they explain only a fraction of heritability, suggesting many variants have yet to be discovered. Recently it has been recognized that incorporat...

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Bibliographic Details
Main Authors: Xinyuan Dong, Yu-Ru Su, Richard Barfield, Stephanie A Bien, Qianchuan He, Tabitha A Harrison, Jeroen R Huyghe, Temitope O Keku, Noralane M Lindor, Clemens Schafmayer, Andrew T Chan, Stephen B Gruber, Mark A Jenkins, Charles Kooperberg, Ulrike Peters, Li Hsu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-08-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1008947

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https://doi.org/10.1371/journal.pgen.1008947

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