ArticleEpidemiology (Cambridge, Mass.)2025
Characterization of Additive Gene-environment Interactions For Colorectal Cancer Risk.
Abstract read
In one paragraph
Article in Epidemiology (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between red and processed meat consumption and colorectal cancer risk: a comprehensive meta-analysis of prospective studies.GeroScience · 2025Pooled it
- Article
- Serum calcium-based interpretable machine learning model for predicting anastomotic leakage after rectal cancer resection: A multi-center study.World journal of gastroenterology · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
79 authors.
Claire E ThomasFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.ORCID 0000-0001-9515-3277
Yi LinFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Michelle KimFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Eric S KawaguchiDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Conghui QuFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Caroline Y UmDepartment of Population Science, American Cancer Society, Atlanta, GA.
Brigid M LynchCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Bethany Van GuelpenDepartment of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden.
Kostas TsilidisDepartment of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK.
Robert Carreras-TorresColorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Franzel J B van DuijnhovenDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
Lori C SakodaFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Peter T CampbellDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Yu TianDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Stéphane BézieauService de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France.
Arif BudiartoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
Julie R PalmerSlone Epidemiology Center at Boston University, Boston, MA.
Polly A NewcombFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Graham CaseyCenter for Public Health Genomics, University of Virginia, Charlottesville, VA.
Loic Le MarchandzUniversity of Hawaii Cancer Center, Honolulu, HI.
Marios GiannakisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Christopher I LiFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Andrea GsurCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.
Christina NewtonDepartment of Population Science, American Cancer Society, Atlanta, GA.
Mireia Obón-SantacanaUnit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain.
Victor MorenoUnit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain.
Pavel VodickaDepartment of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andrew J PellattDepartment of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Robert E SchoenDepartments of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA.
Niki DimouNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Neil MurphyNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Sergi Castellví-BelGastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain.
Jane C FigueiredoDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Mingyang SongClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Li LiDepartment of Family Medicine, University of Virginia, Charlottesville, VA.
D Timothy BishopLeeds Institute of Medical Research, University of Leeds, Leeds, UK.
Stephen B GruberDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte CA.
James W BaurleyBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
Stephanie A BienFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
David V ContiDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Jeroen R HuygheFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Anshul KundajeDepartment of Genetics, Stanford University, Stanford, CA.
Yu-Ru SuFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Jun WangDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Temitope O KekuCenter for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC.
Michael O WoodsMemorial University of Newfoundland, Discipline of Genetics, St. John's, Canada.
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Catherine M TangenSWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA.
Alicja WolkInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Andrea Burnett-HartmanInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO.
Anna H WuUniversity of Southern California, Department of Population and Public Health Sciences, Los Angeles, CA.
Emily WhiteFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Matthew A DevallDepartment of Family Medicine, University of Virginia, Charlottesville, VA.
Virginia Díez-ObreroNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
David A DrewClinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Edward GiovannucciHarvard TH Chan School of Public Health.
Akihisa HidakaFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Andre E KimDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Juan Pablo LewingerDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
John MorrisonDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Jennifer OseHuntsman Cancer Institute, Salt Lake City, UT.
Nikos PapadimitriouNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Bens PardameanBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
Anita R PeoplesHuntsman Cancer Institute, Salt Lake City, UT.
Edward A Ruiz-NarvaezDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI.
Anna ShcherbinaDepartment of Genetics, Stanford University, Stanford, CA.
Mariana C SternDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Xuechen ChenDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Duncan C ThomasDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Elizabeth A PlatzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
W James GaudermanDivision of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Ulrike PetersFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Li HsuFrom the Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.ORCID 0000-0001-8168-4712
Funding
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4MTranslational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6MSWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2MStatistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8MValidity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FUCHS, CHARLES S · 1991 to 2009
$41.8MPILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5MStatistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI David V Conti · 2016 to 2026
$25.5MJH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2MA Follow-up Study for Causes of Cancer in Black WomenU01CA164974 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Kimberly A. Bertrand, Yvette C Cozier · 2017 to 2026
$24.0MGENETIC SUSCEPTIBILITY TO CANCER IN MULTIETHNIC COHORTSR01CA063464 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2001 to 2005
$23.2MMultiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2MLong Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3MIntramural NIH HHS Z01 CP010200NCATS NIH HHS KL2 TR000421NCI NIH HHS K05 CA152715NCI NIH HHS K05 CA154337NCI NIH HHS L70 CA284301NCI NIH HHS P01 CA033619NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA196569NCI NIH HHS P20 CA252733NCI NIH HHS P30 CA006973NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA042182NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA060987NCI NIH HHS R01 CA063464NCI NIH HHS R01 CA066635NCI NIH HHS R01 CA072520NCI NIH HHS R01 CA081488NCI NIH HHS R01 CA097325NCI NIH HHS R01 CA136726NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA143237NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA189184NCI NIH HHS R01 CA189532NCI NIH HHS R01 CA197350NCI NIH HHS R01 CA201407NCI NIH HHS R01 CA206279NCI NIH HHS R01 CA207371NCI NIH HHS R01 CA242218NCI NIH HHS R01 CA244588NCI NIH HHS R01 CA248857NCI NIH HHS R01 CA285851NCI NIH HHS R01 CA297681NCI NIH HHS R03 CA153323NCI NIH HHS R21 CA191312NCI NIH HHS R35 CA197735NCI NIH HHS R37 CA054281NCI NIH HHS T32 CA009168NCI NIH HHS T32 CA094880NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA086308NCI NIH HHS U01 CA122839NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA152753NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA164974NCI NIH HHS U01 CA167551NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA206110NCI NIH HHS U01 CA261339NCI NIH HHS U01 CA261961NCI NIH HHS U10 CA037429NCI NIH HHS U19 CA148107NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA182883NCI NIH HHS UM1 CA186107NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008INHLBI NIH HHS HHSN268201700006CNIA NIH HHS HHSN271201100004CNIA NIH HHS U01 AG018033NIDDK NIH HHS P30 DK034987NIH HHS S10 OD028685WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004CWorld Health Organization 001
Abstract
backgroundColorectal 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.
methodsUsing resources from CRC 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.
resultsThere 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 body mass index (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/nonsteroidal anti-inflammatory drugs 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.
conclusionsAdditive 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.
Indexed as
Colorectal NeoplasmsGene-Environment InteractionGenetic Predisposition to DiseaseAdultAgedAlcohol DrinkingBody Mass IndexCase-Control StudiesDietFemaleHumansLogistic ModelsMaleMiddle AgedPolymorphism, Single NucleotideRisk Factors
Identifiers
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.