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Quantification method affects replicability of eQTL analysis, colocalization, and TWAS.

作者信息

Cole Nolan, Wu William, Head S Taylor, Bresnahan Sean T, Bhattacharya Arjun

机构信息

Department of Biostatistics, University of Washington, Seattle, WA, USA.

Department of BioSciences, Rice University, Houston, TX, USA.

出版信息

bioRxiv. 2025 Aug 24:2025.08.20.671303. doi: 10.1101/2025.08.20.671303.


DOI:10.1101/2025.08.20.671303
PMID:40894657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12393437/
Abstract

eQTL mapping and TWAS are widely used to contextualize GWAS, yet the impact of RNA-seq processing choices remains unexplored. We find that RNA-seq quantification method and transcriptomic reference substantially affect eQTL detection and gene expression prediction with significant downstream impact on colocalization and TWAS results. Our findings demonstrate that seemingly minor methodological decisions substantially affect these common analyses, highlighting the need for standardized practices to ensure reproducible genetic association studies.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bec/12393437/251918a3bc81/nihpp-2025.08.20.671303v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bec/12393437/01eee56f6570/nihpp-2025.08.20.671303v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bec/12393437/251918a3bc81/nihpp-2025.08.20.671303v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bec/12393437/01eee56f6570/nihpp-2025.08.20.671303v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bec/12393437/251918a3bc81/nihpp-2025.08.20.671303v1-f0002.jpg

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本文引用的文献

[1]
Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.

Nat Genet. 2022-8

[2]
Impact of gene annotation choice on the quantification of RNA-seq data.

BMC Bioinformatics. 2022-3-30

[3]
Discovery of common and rare genetic risk variants for colorectal cancer.

Nat Genet. 2018-12-3

[4]
GENCODE reference annotation for the human and mouse genomes.

Nucleic Acids Res. 2019-1-8

[5]
Identification of nine new susceptibility loci for endometrial cancer.

Nat Commun. 2018-8-9

[6]
Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Nat Genet. 2018-6-11

[7]
Association analysis identifies 65 new breast cancer risk loci.

Nature. 2017-11-2

[8]
Genome-wide association study identifies multiple risk loci for renal cell carcinoma.

Nat Commun. 2017-6-9

[9]
A complete tool set for molecular QTL discovery and analysis.

Nat Commun. 2017-5-18

[10]
Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.

Nat Genet. 2017-5

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