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Characterization of additive gene-environment interactions for colorectal cancer risk.
Thomas, Claire E; Lin, Yi; Kim, Michelle; Kawaguchi, Eric S; Qu, Conghui; Um, Caroline Y; Lynch, Brigid M; Van Guelpen, Bethany; Tsilidis, Kostas; Carreras-Torres, Robert; van Duijnhoven, Franzel Jb; Sakoda, Lori C; Campbell, Peter T; Tian, Yu; Chang-Claude, Jenny; Bézieau, Stéphane; Budiarto, Arif; Palmer, Julie R; Newcomb, Polly A; Casey, Graham; Le Marchand, Loic; Giannakis, Marios; Li, Christopher I; Gsur, Andrea; Newton, Christina; Obón-Santacana, Mireia; Moreno, Victor; Vodicka, Pavel; Brenner, Hermann; Hoffmeister, Michael; Pellatt, Andrew J; Schoen, Robert E; Dimou, Niki; Murphy, Neil; Gunter, Marc J; Castellví-Bel, Sergi; Figueiredo, Jane C; Chan, Andrew T; Song, Mingyang; Li, Li; Bishop, D Timothy; Gruber, Stephen B; Baurley, James W; Bien, Stephanie A; Conti, David V; Huyghe, Jeroen R; Kundaje, Anshul; Su, Yu-Ru; Wang, Jun; Keku, Temitope O.
Afiliación
  • Thomas CE; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Lin Y; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Kim M; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Kawaguchi ES; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Qu C; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Um CY; Department of Population Science, American Cancer Society, Atlanta, Georgia.
  • Lynch BM; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Van Guelpen B; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia.
  • Tsilidis K; Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden.
  • Carreras-Torres R; Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden.
  • van Duijnhoven FJ; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK.
  • Sakoda LC; Department of Hygiene and Epidemiology, University of Ioannina, School of Medicine, Ioannina, Greece.
  • Campbell PT; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, 8908 Barcelona, Spain.
  • Tian Y; Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, 17190, Girona, Spain.
  • Chang-Claude J; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
  • Bézieau S; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Budiarto A; Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
  • Palmer JR; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Newcomb PA; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Casey G; School of Public Health, Capital Medical University, Beijing, China.
  • Le Marchand L; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Giannakis M; University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany.
  • Li CI; Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France.
  • Gsur A; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Newton C; Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
  • Obón-Santacana M; Slone Epidemiology Center at Boston University, Boston, Massachusetts, USA.
  • Moreno V; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Vodicka P; Department of Epidemiology, University of Washington, Seattle, Washington, USA.
  • Brenner H; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
  • Hoffmeister M; University of Hawaii Cancer Center, Honolulu, Hawaii, USA.
  • Pellatt AJ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Schoen RE; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Dimou N; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Murphy N; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
  • Gunter MJ; Center for Cancer Research, Medical University of Vienna, Vienna, Austria.
  • Castellví-Bel S; Department of Population Science, American Cancer Society, Atlanta, Georgia.
  • Figueiredo JC; Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat,Barcelona, Spain.
  • Chan AT; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Song M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Li L; Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat,Barcelona, Spain.
  • Bishop DT; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Gruber SB; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Baurley JW; Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Bien SA; Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.
  • Conti DV; Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic.
  • Huyghe JR; Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic.
  • Kundaje A; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Su YR; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
  • Wang J; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Keku TO; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Epidemiology ; 2024 Sep 24.
Article en En | MEDLINE | ID: mdl-39316822
ABSTRACT

BACKGROUND:

Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure.

METHODS:

Using resources from colorectal cancer consortia including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score including 141 variants associated with CRC risk.

RESULTS:

There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking [RERI = 0.24, 95% confidence interval, CI, (0.13, 0.36)], ever smoking [0.11 (0.05, 0.16)], high BMI [female 0.09 (0.05, 0.13), male 0.10 (0.05, 0.14)], or high red meat intake [highest versus lowest quartile 0.18 (0.09, 0.27)] was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/NSAID use [-0.16 (-0.20, -0.11)] or higher intake of fruit, fiber, or calcium [highest quartile versus lowest quartile -0.12 (-0.18, -0.050); -0.16 (-0.23, -0.09); -0.11 (-0.18, -0.05), respectively] than those with average genetic susceptibility.

CONCLUSIONS:

Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Epidemiology Asunto de la revista: EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Epidemiology Asunto de la revista: EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos