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Association analysis identifies 65 new breast cancer risk loci.
Michailidou, Kyriaki; Lindström, Sara; Dennis, Joe; Beesley, Jonathan; Hui, Shirley; Kar, Siddhartha; Lemaçon, Audrey; Soucy, Penny; Glubb, Dylan; Rostamianfar, Asha; Bolla, Manjeet K; Wang, Qin; Tyrer, Jonathan; Dicks, Ed; Lee, Andrew; Wang, Zhaoming; Allen, Jamie; Keeman, Renske; Eilber, Ursula; French, Juliet D; Qing Chen, Xiao; Fachal, Laura; McCue, Karen; McCart Reed, Amy E; Ghoussaini, Maya; Carroll, Jason S; Jiang, Xia; Finucane, Hilary; Adams, Marcia; Adank, Muriel A; Ahsan, Habibul; Aittomäki, Kristiina; Anton-Culver, Hoda; Antonenkova, Natalia N; Arndt, Volker; Aronson, Kristan J; Arun, Banu; Auer, Paul L; Bacot, François; Barrdahl, Myrto; Baynes, Caroline; Beckmann, Matthias W; Behrens, Sabine; Benitez, Javier; Bermisheva, Marina; Bernstein, Leslie; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bonanni, Bernardo.
Afiliação
  • Michailidou K; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Lindström S; Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
  • Dennis J; Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
  • Beesley J; Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Hui S; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Kar S; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Lemaçon A; The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
  • Soucy P; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Glubb D; Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada.
  • Rostamianfar A; Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada.
  • Bolla MK; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Wang Q; The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
  • Tyrer J; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Dicks E; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Lee A; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Wang Z; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Allen J; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Keeman R; Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, USA.
  • Eilber U; Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • French JD; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Qing Chen X; Division of Molecular Pathology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
  • Fachal L; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • McCue K; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • McCart Reed AE; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Ghoussaini M; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Carroll JS; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Jiang X; UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
  • Finucane H; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Adams M; Cancer Research UK Cambridge Research Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK.
  • Adank MA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Ahsan H; Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Aittomäki K; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Anton-Culver H; Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Antonenkova NN; Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.
  • Arndt V; Center for Cancer Epidemiology and Prevention, The University of Chicago, Chicago, Illinois, USA.
  • Aronson KJ; Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
  • Arun B; Department of Epidemiology, University of California Irvine, Irvine, California, USA.
  • Auer PL; N. N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus.
  • Bacot F; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Barrdahl M; Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada.
  • Baynes C; Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Beckmann MW; Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Behrens S; Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
  • Benitez J; McGill University and Génome Québec Innovation Centre, Montréal, Quebec, Canada.
  • Bermisheva M; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bernstein L; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Blomqvist C; Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany.
  • Bogdanova NV; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bojesen SE; Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain.
  • Bonanni B; Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain.
Nature ; 551(7678): 92-94, 2017 11 02.
Article em En | MEDLINE | ID: mdl-29059683
Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P < 5 × 10-8. The majority of credible risk single-nucleotide polymorphisms in these loci fall in distal regulatory elements, and by integrating in silico data to predict target genes in breast cells at each locus, we demonstrate a strong overlap between candidate target genes and somatic driver genes in breast tumours. We also find that heritability of breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores for individualized screening and prevention.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Predisposição Genética para Doença / Estudo de Associação Genômica Ampla / Loci Gênicos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: Asia / Europa Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Predisposição Genética para Doença / Estudo de Associação Genômica Ampla / Loci Gênicos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: Asia / Europa Idioma: En Ano de publicação: 2017 Tipo de documento: Article