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Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers.
Went, Molly; Sud, Amit; Mills, Charlie; Hyde, Abi; Culliford, Richard; Law, Philip; Vijayakrishnan, Jayaram; Gockel, Ines; Maj, Carlo; Schumacher, Johannes; Palles, Claire; Kaiser, Martin; Houlston, Richard.
Afiliación
  • Went M; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. molly.went@icr.ac.uk.
  • Sud A; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Mills C; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Hyde A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Culliford R; Harvard Medical School, Boston, MA, USA.
  • Law P; Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Vijayakrishnan J; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Gockel I; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Maj C; Department of Engineering, University of Cambridge, Cambridge, UK.
  • Schumacher J; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Palles C; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Kaiser M; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Houlston R; Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany.
Nat Commun ; 15(1): 2637, 2024 Mar 25.
Article en En | MEDLINE | ID: mdl-38527997
ABSTRACT
For many cancers there are only a few well-established risk factors. Here, we use summary data from genome-wide association studies (GWAS) in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to identify potentially causal relationships for over 3,000 traits. Our outcome datasets comprise 378,142 cases across breast, prostate, colorectal, lung, endometrial, oesophageal, renal, and ovarian cancers, as well as 485,715 controls. We complement this analysis by systematically mining the literature space for supporting evidence. In addition to providing supporting evidence for well-established risk factors (smoking, alcohol, obesity, lack of physical activity), we also find sex steroid hormones, plasma lipids, and telomere length as determinants of cancer risk. A number of the molecular factors we identify may prove to be potential biomarkers. Our analysis, which highlights aetiological similarities and differences in common cancers, should aid public health prevention strategies to reduce cancer burden. We provide a R/Shiny app to visualise findings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Estudio de Asociación del Genoma Completo Límite: Female / Humans / Male Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Estudio de Asociación del Genoma Completo Límite: Female / Humans / Male Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido