ArticlePLoS genetics2014
Genome-wide diet-gene interaction analyses for risk of colorectal cancer.
Open access · goldAbstract read
In one paragraph
Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 4 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 4 pooled it
7.5field-weighted citation impact, top 2% of its field
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
63 citing papers in PubMed, 4 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- A Systematic Review and Recommendations Around Frameworks for Evaluating Scientific Validity in Nutritional Genomics.Frontiers in nutrition · 2021Pooled it
- Gene-environment interactions and colorectal cancer risk: An umbrella review of systematic reviews and meta-analyses of observational studies.International journal of cancer · 2019Pooled it
- Dietary Inflammatory Index and Site-Specific Cancer Risk: A Systematic Review and Dose-Response Meta-Analysis.Advances in nutrition (Bethesda, Md.) · 2018Pooled it
- Health risk factors associated with meat, fruit and vegetable consumption in cohort studies: A comprehensive meta-analysis.PloS one · 2017Pooled it
- A gene-diet interaction-based score predicts response to dietary fat in the Women's Health Initiative.The American journal of clinical nutrition · 2020Trial
- Shaping the future of early-onset colorectal cancer prevention.Nature reviews. Cancer · 2026Review
- Is Male Hypogonadism a Risk Factor for Cancer Through Weakening of the Immune System?International journal of molecular sciences · 2026Review
- LncRNA GATA3-AS1-mediated miR-2116-5p interaction modulates TCF12 and contributes to podocyte dysfunction in childhood nephrotic syndrome.Clinics (Sao Paulo, Brazil) · 2026Article
- TGF-β Pathway-Based Polygenic Risk Score Modifies the Association between Red Meat Intake and Colorectal Cancer Risk: Application of a Novel Pathway-Based PRS Method.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Interactions Between Dietary Metabolites and Regulatory Risk Variants for Human Colon Cancer.bioRxiv : the preprint server for biology · 2025Article
- Red meat intake interacts with a TGF-β-pathway-based polygenic risk score to impact colorectal cancer risk: Application of a novel approach for polygenic risk score construction.medRxiv : the preprint server for health sciences · 2025Article
- Decoding the genetic and environmental forces in propelling the surge of early-onset colorectal cancer.Chinese medical journal · 2025Review
- Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues.Human genomics · 2025Review
- From laboratory to clinic: opportunities and challenges of functional food active ingredients in cancer therapy.Frontiers in nutrition · 2025Review
- Microbiota-derived metabolites in tumorigenesis: mechanistic insights and therapeutic implications.Frontiers in pharmacology · 2025Review
- A new test for trait mean and variance detects unreported loci for blood-pressure variation.American journal of human genetics · 2024Article
- Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Genome-Wide Interaction Study of Dietary Intake and Colorectal Cancer Risk in the UK Biobank.JAMA network open · 2024Article
- Research gaps and opportunities in precision nutrition: an NIH workshop report.The American journal of clinical nutrition · 2022Article
- Diet quality, common genetic polymorphisms, and bladder cancer risk in a New England population-based study.European journal of nutrition · 2022Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
53 authors at 20 institutions in 5 countries.
Jane C FigueiredoKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Carolyn M HutterDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, United States of America.
Yi LinPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Peter T CampbellEpidemiology Research Program, American Cancer Society, Atlanta, Georgia, United States of America.
John A BaronDepartment of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Shuo JiaoPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Graham CaseyKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Barbara FortiniKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Michelle CotterchioCancer Care Ontario, Toronto, Ontario, Canada.
Mathieu LemireOntario Institute for Cancer Research, Toronto, Ontario, Canada.
Steven GallingerDepartment of Surgery, University Health Network Toronto General Hospital, Toronto, Ontario, Canada.
Tabitha A HarrisonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Loic Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America.
Polly A NewcombPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Martha L SlatteryDepartment of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, United States of America.
Bette J CaanDivision of Research, Kaiser Permanente Medical Care Program, Oakland, California, United States of America.
Christopher S CarlsonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Brent W ZankeDivision of Hematology, Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.
Stephanie A RossePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
Edward L GiovannucciChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Kana WuDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Keith R CurtisPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
David DugganTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Jian GongPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Robert W HaileStanford Cancer Institute, Palo Alto, California, United States of America.
Richard B HayesDivision of Epidemiology, New York University School of Medicine, New York, New York, United States of America.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
John L HopperMelbourne School of Population Health, The University of Melbourne, Melbourne, Australia.
Mark A JenkinsMelbourne School of Population Health, The University of Melbourne, Melbourne, Australia.
Laurence N KolonelEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America.
Conghui QuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Anja RudolphDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Robert E SchoenDepartment of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Fredrick R SchumacherKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Daniela SeminaraDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, United States of America.
Deanna L StellingPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Stephen N ThibodeauDepartments of Laboratory Medicine and Pathology and Laboratory Genetics, Mayo Clinic, Rochester, Minnesota, United States of America.
Mark ThornquistPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Greg S WarnickPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Brian E HendersonKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Cornelia M UlrichPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America; Division of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany.
W James GaudermanKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
John D PotterPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America; Centre for Public Health Research, Massey University, Wellington, New Zealand.
Emily WhitePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
CCFR
GECCO
Fred Hutch Cancer Center · USUniversity of Southern California · USNational Cancer Institute · USGerman Cancer Research Center · DEHarvard University · USHeidelberg University · DEUniversity of Melbourne · AUAmerican Cancer Society · USBrigham and Women's Hospital · USCancer Care Ontario · CACancer Center of Hawaii · USDivision of Cancer Epidemiology and GeneticsKaiser Permanente · USMayo Clinic · USNational Center for Tumor Diseases · DENew York University · USOntario Institute for Cancer Research · CAPalo Alto Institute · USTranslational Genomics Research Institute · USUniversity Health Network · CA
Funding
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8MUniversity of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2MValidity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8MPilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3MTissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2MJH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2MMolecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8MSEATTLE FAMILIAL COLORECTAL CANCER REGISTRYU01CA074794 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NEWCOMB, POLLY A · 1997 to 2007
$14.1MONTARIO REGISTRY FOR STUDIES OF FAMILIAL COLON CANCERU01CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 1997 to 2008
$12.5MDetection of Colorectal Cancer Susceptibility Loci Using Genome-Wide SequencingU01CA164930 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2012 to 2015
$12.4MCancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5MGenome-Wide Association Study of Nonsynonymous SNPs in Colon CancerR01CA059045 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 1994 to 2011
$11.5MCIHRIntramural NIH HHS Z01 CP010200NCI NIH HHS K05 CA154337NCI NIH HHS P01 CA053996NCI NIH HHS P01 CA 055075NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA 087969NCI NIH HHS P01 CA087969NCI NIH HHS P30 CA071789NCI NIH HHS P50 CA 127003NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA076366NCI NIH HHS R01 CA120582NCI NIH HHS R01 CA48998NCI NIH HHS R25 CA094880NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA074794NCI NIH HHS U01 CA097735NCI NIH HHS U01 CA122839NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U24 CA074783NCI NIH HHS U24 CA074794NCI NIH HHS U24 CA097735NCI NIH HHS UM1 CA167551NCI NIH HHS UM1 CA167552NCI NIH HHS Z01 CP 010200NHGRI NIH HHS NIH GEI U01 HG 004438NHGRI NIH HHS NIH U01 HG004446NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNIDDK NIH HHS P30 DK043351PHS HHS R01 137178WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
Abstract
Dietary factors, including meat, fruits, vegetables and fiber, are associated with colorectal cancer; however, there is limited information as to whether these dietary factors interact with genetic variants to modify risk of colorectal cancer. We tested interactions between these dietary factors and approximately 2.7 million genetic variants for colorectal cancer risk among 9,287 cases and 9,117 controls from ten studies. We used logistic regression to investigate multiplicative gene-diet interactions, as well as our recently developed Cocktail method that involves a screening step based on marginal associations and gene-diet correlations and a testing step for multiplicative interactions, while correcting for multiple testing using weighted hypothesis testing. Per quartile increment in the intake of red and processed meat were associated with statistically significant increased risks of colorectal cancer and vegetable, fruit and fiber intake with lower risks. From the case-control analysis, we detected a significant interaction between rs4143094 (10p14/near GATA3) and processed meat consumption (OR = 1.17; p = 8.7E-09), which was consistently observed across studies (p heterogeneity = 0.78). The risk of colorectal cancer associated with processed meat was increased among individuals with the rs4143094-TG and -TT genotypes (OR = 1.20 and OR = 1.39, respectively) and null among those with the GG genotype (OR = 1.03). Our results identify a novel gene-diet interaction with processed meat for colorectal cancer, highlighting that diet may modify the effect of genetic variants on disease risk, which may have important implications for prevention.
Indexed as
AdultAgedCase-Control StudiesColorectal NeoplasmsDietDietary FiberFemaleFruitGenome-Wide Association StudyGenotypeHumansMaleMeatMiddle AgedPolymorphism, Single NucleotideRiskDietary Fiber
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