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Genome-wide interaction analysis of folate for colorectal cancer risk.
Bouras, Emmanouil; Kim, Andre E; Lin, Yi; Morrison, John; Du, Mengmeng; Albanes, Demetrius; Barry, Elizabeth L; Baurley, James W; Berndt, Sonja I; Bien, Stephanie A; Bishop, Timothy D; Brenner, Hermann; Budiarto, Arif; Burnett-Hartman, Andrea; Campbell, Peter T; Carreras-Torres, Robert; Casey, Graham; Cenggoro, Tjeng Wawan; Chan, Andrew T; Chang-Claude, Jenny; Conti, David V; Cotterchio, Michelle; Devall, Matthew; Diez-Obrero, Virginia; Dimou, Niki; Drew, David A; Figueiredo, Jane C; Giles, Graham G; Gruber, Stephen B; Gunter, Marc J; Harrison, Tabitha A; Hidaka, Akihisa; Hoffmeister, Michael; Huyghe, Jeroen R; Joshi, Amit D; Kawaguchi, Eric S; Keku, Temitope O; Kundaje, Anshul; Le Marchand, Loic; Lewinger, Juan Pablo; Li, Li; Lynch, Brigid M; Mahesworo, Bharuno; Männistö, Satu; Moreno, Victor; Murphy, Neil; Newcomb, Polly A; Obón-Santacana, Mireia; Ose, Jennifer; Palmer, Julie R.
Afiliação
  • Bouras E; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
  • Kim AE; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Lin Y; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
  • Morrison J; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Du M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
  • Albanes D; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
  • Barry EL; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
  • Baurley JW; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia; BioRealm LLC, Walnut, CA, United States.
  • Berndt SI; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
  • Bien SA; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
  • Bishop TD; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom.
  • 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 Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Res
  • Budiarto A; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia; Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
  • Burnett-Hartman A; Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, United States.
  • Campbell PT; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
  • Carreras-Torres R; Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Digestive Diseases
  • Casey G; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States.
  • Cenggoro TW; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia; Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
  • Chan AT; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts G
  • 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, United States.
  • Cotterchio M; Ontario Health (Cancer Care Ontario), Toronto, Ontario, Canada.
  • Devall M; Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States; Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, United States.
  • Diez-Obrero V; Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • 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, United States.
  • Figueiredo JC; Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Giles GG; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash H
  • Gruber SB; Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.
  • Gunter MJ; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Harrison TA; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
  • Hidaka A; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
  • 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, United States.
  • Joshi AD; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.
  • Kawaguchi ES; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United St
  • Keku TO; Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, United States.
  • Kundaje A; Department of Genetics, Stanford University, Stanford, CA, United States; Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Le Marchand L; University of Hawaii Cancer Center, Honolulu, HI, United States.
  • Lewinger JP; Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Li L; Department of Family Medicine, University of Virginia, Charlottesville, VA, United States.
  • Lynch BM; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Mahesworo B; Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Männistö S; Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
  • Moreno V; Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Consortium for Biom
  • Murphy N; Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
  • Newcomb PA; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States.
  • Obón-Santacana M; Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Consortium for Biom
  • Ose J; Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.
  • Palmer JR; Slone Epidemiology Center at Boston University, Boston, MA, United States.
Am J Clin Nutr ; 118(5): 881-891, 2023 11.
Article em En | MEDLINE | ID: mdl-37640106
ABSTRACT

BACKGROUND:

Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC.

OBJECTIVES:

Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk.

METHODS:

We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO).

RESULTS:

Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR] 0.93; 95% confidence interval [CI] 0.90, 0.96; and 0.91; 95% CI 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10-8) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR 0.82; 95% CI 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR 1.63; 95% CI 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10-8). No interactions were observed for dietary and total folate.

CONCLUSIONS:

Variation in 3p25.2 locus may modify the association of folate supplement with CRC risk. Experimental studies and studies incorporating other relevant omics data are warranted to validate this finding.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Ácido Fólico Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Ácido Fólico Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article