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Article

Leveraging functional annotation to identify genes associated with complex diseases.

PLoS computational biology - 1 Nov 2020

Liu Wei, Li Mo, Zhang Wenfeng, Zhou Geyu, Wu Xing, Wang Jiawei, Lu Qiongshi, Zhao Hongyu

Abstract excerpt

To increase statistical power to identify genes associated with complex traits, a number of transcriptome-wide association study (TWAS) methods have been proposed using gene expression as a mediating trait linking genetic variations and diseases. These methods first predict expression levels based on inferred expression quantitative trait loci (eQTLs) and then identify expression-mediated genetic effects on...

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Share to Epigenesis, Genetic
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Molecular Sequence Annotation

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

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Identifiers

PMID: 33137096
DOI: 10.1371/journal.pcbi.1008315
PMCID: PMC7660930

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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