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Endometriosis risk alleles at 1p36.12 act through inverse regulation of CDC42 and LINC00339.
Powell, Joseph E; Fung, Jenny N; Shakhbazov, Konstantin; Sapkota, Yadav; Cloonan, Nicole; Hemani, Gibran; Hillman, Kristine M; Kaufmann, Susanne; Luong, Hien T; Bowdler, Lisa; Painter, Jodie N; Holdsworth-Carson, Sarah J; Visscher, Peter M; Dinger, Marcel E; Healey, Martin; Nyholt, Dale R; French, Juliet D; Edwards, Stacey L; Rogers, Peter A W; Montgomery, Grant W.
Afiliação
  • Powell JE; Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St Lucia, Brisbane, Australia.
  • Fung JN; The Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
  • Shakhbazov K; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Sapkota Y; Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St Lucia, Brisbane, Australia.
  • Cloonan N; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Hemani G; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Hillman KM; Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St Lucia, Brisbane, Australia.
  • Kaufmann S; MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
  • Luong HT; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Bowdler L; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Painter JN; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Holdsworth-Carson SJ; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Visscher PM; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Dinger ME; Gynaecology Research Centre, University of Melbourne, Department of Obstetrics and Gynaecology, Royal Women's Hospital, Parkville VIC, Australia.
  • Healey M; Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St Lucia, Brisbane, Australia.
  • Nyholt DR; Garvan Medical Research Institute, Sydney, Australia
  • French JD; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2052, Australia and
  • Edwards SL; Gynaecology Research Centre, University of Melbourne, Department of Obstetrics and Gynaecology, Royal Women's Hospital, Parkville VIC, Australia.
  • Rogers PA; Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Montgomery GW; Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Australia
Hum Mol Genet ; 25(22): 5046-5058, 2016 11 15.
Article em En | MEDLINE | ID: mdl-28171565
ABSTRACT
Genome-wide association studies (GWAS) have identified markers within the WNT4 region on chromosome 1p36.12 showing consistent and strong association with increasing endometriosis risk. Fine mapping using sequence and imputed genotype data has revealed strong candidates for the causal SNPs within these critical regions; however, the molecular pathogenesis of these SNPs is currently unknown. We used gene expression data collected from whole blood from 862 individuals and endometrial tissue from 136 individuals from independent populations of European descent to examine the mechanism underlying endometriosis susceptibility. Association mapping results from 7,090 individuals (2,594 cases and 4,496 controls) supported rs3820282 as the SNP with the strongest association for endometriosis risk (P = 1.84 × 10−5, OR = 1.244 (1.126-1.375)). SNP rs3820282 is a significant eQTL in whole blood decreasing expression of LINC00339 (also known as HSPC157) and increasing expression of CDC42 (P = 2.0 ×10−54 and 4.5x10−4 respectively). The largest effects were for two LINC00339 probes (P = 2.0 ×10−54; 1.0 × 10−34). The eQTL for LINC00339 was also observed in endometrial tissue (P = 2.4 ×10−8) with the same direction of effect for both whole blood and endometrial tissue. There was no evidence for eQTL effects for WNT4. Chromatin conformation capture provides evidence for risk SNPs interacting with the promoters of both LINC00339 and CDC4 and luciferase reporter assays suggest the risk SNP rs12038474 is located in a transcriptional silencer for CDC42 and the risk allele increases expression of CDC42. However, no effect of rs3820282 was observed in the LINC00339 expression in Ishikawa cells. Taken together, our results suggest that SNPs increasing endometriosis risk in this region act through CDC42, but further functional studies are required to rule out inverse regulation of both LINC00339 and CDC42.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteína cdc42 de Ligação ao GTP / Endometriose / RNA Longo não Codificante Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteína cdc42 de Ligação ao GTP / Endometriose / RNA Longo não Codificante Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article