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

Authors:
Zhao S; Crouse W; Qian S; Luo K; Stephens M and 1 more

Journal:
Nat Genet

Publication Year: 2024

DOI:
10.1038/s41588-023-01648-9

PMCID:
PMC10864181

PMID:
38279041

Journal Information

Full Title: Nat Genet

Abbreviation: Nat Genet

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Genetics, Medical

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Evidence found in paper:

"code related to analyses performed in this study can be accessed at https://github com/xinhe-lab/ctwas-paper and https://zenodo org/doi/10 5281/zenodo 10373122 ref 61 ."

Evidence found in paper:

"code availability our software is available at https://xinhe-lab github io/ctwas/ .; code related to analyses performed in this study can be accessed at https://github com/xinhe-lab/ctwas-paper and https://zenodo org/doi/10 5281/zenodo 10373122 ref 61 ."

Evidence found in paper:

"Competing interests The authors declare no competing interests."

Evidence found in paper:

"This work was supported by the National Institutes of Health (NIH) under grants R01MH110531 (to X.H.), R01HG010773 (to X.H.), R01HG002585 (to M.S.), and a research grant through Geisel School of Medicine at Dartmouth’s Center for Quantitative Biology through NIH grant P20GM130454 (to S.Z.). We thank H. Im (University of Chicago), X. Liu (University of Chicago) and other members of He and Stephens’ groups for helpful comments on the work and the manuscript."

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Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025