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
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1011770 (text/html)
https://journals.plos.org/plosgenetics/article/fil ... 11770&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1011770
DOI: 10.1371/journal.pgen.1011770
Access Statistics for this article
More articles in PLOS Genetics from Public Library of Science
Bibliographic data for series maintained by plosgenetics ().