Systematically identification of survival-associated eQTLs in a Japanese kidney cancer cohort

Xiya Song, Han Jin, Xiangyu Li, Meng Yuan, Hong Yang, Yusuke Sato, Haruki Kume, Seishi Ogawa, Cheng Zhang and Adil Mardinoglu

PLOS Genetics, 2025, vol. 21, issue 7, 1-28

Abstract: Background: Clear cell renal carcinoma (ccRCC) is the predominant form of kidney cancer, but the prognostic value of expression quantitative trait loci (eQTLs) remains underexplored, particularly in Asian populations. Objective: We analyzed whole-exome sequencing and RNA sequencing data from 100 Japanese ccRCC patients to identify eQTLs. Multiple Cox proportional hazard models assessed survival associations, with validation in the Cancer Genome Atlas ccRCC cohort (n = 287). Results: We identified 805 eGenes and 4,558 cis-eQTLs in the Japanese cohort. Survival analysis revealed a total of 9 eGenes significantly associated with overall survival (FDR

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1011770

DOI: 10.1371/journal.pgen.1011770

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