Your browser doesn't support javascript.
loading
Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer.
Papadimitriou, Nikos; Kim, Andre; Kawaguchi, Eric S; Morrison, John; Diez-Obrero, Virginia; Albanes, Demetrius; Berndt, Sonja I; Bézieau, Stéphane; Bien, Stephanie A; Bishop, D Timothy; Bouras, Emmanouil; Brenner, Hermann; Buchanan, Daniel D; Campbell, Peter T; Carreras-Torres, Robert; Chan, Andrew T; Chang-Claude, Jenny; Conti, David V; Devall, Matthew A; Dimou, Niki; Drew, David A; Gruber, Stephen B; Harrison, Tabitha A; Hoffmeister, Michael; Huyghe, Jeroen R; Joshi, Amit D; Keku, Temitope O; Kundaje, Anshul; Küry, Sébastien; Le Marchand, Loic; Lewinger, Juan Pablo; Li, Li; Lynch, Brigid M; Moreno, Victor; Newton, Christina C; Obón-Santacana, Mireia; Ose, Jennifer; Pellatt, Andrew J; Peoples, Anita R; Platz, Elizabeth A; Qu, Conghui; Rennert, Gad; Ruiz-Narvaez, Edward; Shcherbina, Anna; Stern, Mariana C; Su, Yu-Ru; Thomas, Duncan C; Thomas, Claire E; Tian, Yu; Tsilidis, Konstantinos K.
Afiliação
  • Papadimitriou N; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Kim A; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Kawaguchi ES; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Morrison J; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Diez-Obrero V; Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public H
  • Albanes D; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Berndt SI; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Bézieau S; Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France.
  • Bien SA; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Bishop DT; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
  • Bouras E; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
  • Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumour Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Re
  • Buchanan DD; Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Australia; University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Me
  • Campbell PT; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Carreras-Torres R; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), 17190 Salt, Girona, Spain.
  • Chan AT; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and
  • Chang-Claude J; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany.
  • Conti DV; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Devall MA; Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, USA.
  • Dimou N; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Drew DA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Gruber SB; Department of Medical Oncology & Therapeutics Research and Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA.
  • Harrison TA; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Hoffmeister M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Huyghe JR; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Joshi AD; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Keku TO; Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA.
  • Kundaje A; Department of Genetics, Stanford University, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Küry S; Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France.
  • Le Marchand L; University of Hawaii Cancer Center, Honolulu, HI, USA.
  • Lewinger JP; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Li L; Department of Family Medicine, University of Virginia, Charlottesville, VA, USA.
  • Lynch BM; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Moreno V; Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public H
  • Newton CC; Department of Population Science, American Cancer Society, Atlanta, GA, USA.
  • Obón-Santacana M; Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public H
  • Ose J; Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
  • Pellatt AJ; Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Peoples AR; Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
  • Platz EA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Qu C; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Rennert G; Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit National Cancer Control Center, Haifa, Israel.
  • Ruiz-Narvaez E; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
  • Shcherbina A; Department of Genetics, Stanford University, Stanford, CA, USA.
  • Stern MC; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Su YR; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Thomas DC; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Thomas CE; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Tian Y; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; School of Public Health, Capital Medical University, Beijing, China.
  • Tsilidis KK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK.
EBioMedicine ; 104: 105146, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38749303
ABSTRACT

BACKGROUND:

Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations.

METHODS:

A pooled sample of 45 studies including up to 69,734 participants (cases 29,896; controls 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously.

FINDINGS:

The 3-DF joint test revealed two significant loci with p-value <5 × 10-8. Rs4730274 close to the SLC26A3 gene showed an association with fibre (p-value 2.4 × 10-3) and G × fibre interaction with CRC (OR per quartile of fibre increase = 0.87, 0.80, and 0.75 for CC, TC, and TT genotype, respectively; G × E p-value 1.8 × 10-7). Rs1620977 in the NEGR1 gene showed an association with fruit intake (p-value 1.0 × 10-8) and G × fruit interaction with CRC (OR per quartile of fruit increase = 0.75, 0.65, and 0.56 for AA, AG, and GG genotype, respectively; G × E -p-value 0.029).

INTERPRETATION:

We identified 2 loci associated with fibre and fruit intake that also modify the association of these dietary factors with CRC risk. Potential mechanisms include chronic inflammatory intestinal disorders, and gut function. However, further studies are needed for mechanistic validation and replication of findings.

FUNDING:

National Institutes of Health, National Cancer Institute. Full funding details for the individual consortia are provided in acknowledgments.
Assuntos
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Verduras / Fibras na Dieta / Neoplasias Colorretais / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla / Interação Gene-Ambiente / Frutas Limite: Female / Humans / Male Idioma: En Revista: EBioMedicine Ano de publicação: 2024 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Verduras / Fibras na Dieta / Neoplasias Colorretais / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla / Interação Gene-Ambiente / Frutas Limite: Female / Humans / Male Idioma: En Revista: EBioMedicine Ano de publicação: 2024 Tipo de documento: Article País de afiliação: França