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Variants at IRX4 as prostate cancer expression quantitative trait loci.
Xu, Xing; Hussain, Wasay M; Vijai, Joseph; Offit, Kenneth; Rubin, Mark A; Demichelis, Francesca; Klein, Robert J.
Afiliação
  • Xu X; 1] Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA [2] Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
  • Hussain WM; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA.
  • Vijai J; 1] Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA [2] Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
  • Offit K; 1] Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA [2] Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
  • Rubin MA; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA.
  • Demichelis F; 1] Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA [2] Centre for Integrative Biology, CIBIO, University of Trento, Trento, Italy.
  • Klein RJ; 1] Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA [2] Program in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Eur J Hum Genet ; 22(4): 558-63, 2014 Apr.
Article em En | MEDLINE | ID: mdl-24022300
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Regulação Neoplásica da Expressão Gênica / Proteínas de Homeodomínio / Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Regulação Neoplásica da Expressão Gênica / Proteínas de Homeodomínio / Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2014 Tipo de documento: Article