ArticleEuropean journal of human genetics : EJHG2014
Variants at IRX4 as prostate cancer expression quantitative trait loci.
Article in European journal of human genetics : EJHG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Prostate cancer risk SNP rs10993994 is a trans-eQTL for SNHG11 mediated through MSMB.Human molecular genetics · 2020Pooled it
- Gene regulatory mechanisms underpinning prostate cancer susceptibility.Nature genetics · 2016Pooled it
- Germline polygenic score for prostate cancer aggressiveness.medRxiv : the preprint server for health sciences · 2026Article
- Article
- The Germline and Somatic Origins of Prostate Cancer Heterogeneity.Cancer discovery · 2025Article
- Integrating Multi-Omics Data to Uncover Prostate Tissue DNA Methylation Biomarkers and Target Genes for Prostate Cancer Risk.Molecular carcinogenesis · 2025Article
- Anti-colorectal cancer effects of IRX4 and sensitivity studies to oxaliplatin.Frontiers in immunology · 2025Article
- Iroquois homeobox 4 (IRX4) derived micropeptide promotes prostate cancer progression and chemoresistance through Wnt signalling dysregulation.Communications medicine · 2024Article
- The Impact of Inherited Genetic Variation on DNA Methylation in Prostate Cancer and Benign Tissues of African American and European American Men.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Unravelling the Role of Iroquois Homeobox 4 and its Interplay with Androgen Receptor in Prostate Cancer.Research square · 2023Article
- A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk locus.Nature communications · 2023Article
- Review
- Prostate Cancer Transcriptomic Regulation by the Interplay of Germline Risk Alleles, Somatic Mutations, and 3D Genomic Architecture.Cancer discovery · 2022Article
- A multiple-testing procedure for high-dimensional mediation hypotheses.Journal of the American Statistical Association · 2022Article
- Article
- Article
- Functional Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling.Cancers · 2020Article
- DNA methylation and cis-regulation of gene expression by prostate cancer risk SNPs.PLoS genetics · 2020Article
- Article
- Melanoma-Bearing Libechov Minipig (MeLiM): The Unique Swine Model of Hereditary Metastatic Melanoma.Genes · 2019Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Genome-wide association studies (GWAS) have identified numerous prostate cancer-associated risk loci. Some variants at these loci may be regulatory and influence expression of nearby genes. Such loci are known as cis-expression quantitative trait loci (cis-eQTL). As cis-eQTLs are highly tissue-specific, we asked if GWAS-identified prostate cancer risk loci are cis-eQTLs in human prostate tumor tissues. We investigated 50 prostate cancer samples for their genotype at 59 prostate cancer risk-associated single-nucleotide polymorphisms (SNPs) and performed cis-eQTL analysis of transcripts from paired primary tumors within two megabase windows. We tested 586 transcript-genotype associations, of which 27 were significant (false discovery rate ≤10%). An equivalent eQTL analysis of the same prostate cancer risk loci in lymphoblastoid cell lines did not result in any significant associations. The top-ranked cis-eQTL involved the IRX4 (Iroquois homeobox protein 4) transcript and rs12653946, tagged by rs10866528 in our study (P=4.91 × 10(-5)). Replication studies, linkage disequilibrium, and imputation analyses highlight population specificity at this locus. We independently validated IRX4 as a potential prostate cancer risk gene through cis-eQTL analysis of prostate cancer risk variants. Cis-eQTL analysis in relevant tissues, even with a small sample size, can be a powerful method to expedite functional follow-up of GWAS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.