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Article

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits.

Nature genetics - 1 Feb 2024

Zhao Siming, Crouse Wesley, Qian Sheng, Luo Kaixuan, Stephens Matthew, He Xin

Abstract excerpt

Many methods have been developed to leverage expression quantitative trait loci (eQTL) data to nominate candidate genes from genome-wide association studies. These methods, including colocalization, transcriptome-wide association studies (TWAS) and Mendelian randomization-based methods; however, all suffer from a key problem-when assessing the role of a gene in a trait using its eQTLs, nearby variants and genetic...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 38279041
DOI: 10.1038/s41588-023-01648-9
PMCID: PMC10864181

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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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