ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026
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.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 · What the graph read from it
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2 · The registry
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Joel Sanchez MendezDepartment of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.ORCID 0000-0001-5552-1020
Bryan QuemeDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0003-1509-9982
Yubo FuDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0009-0001-8077-3884
John L MorrisonDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0003-1478-9965
Juan Pablo LewingerDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0002-0692-2570
Eric S KawaguchiDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0003-2014-5023
Huaiyu MiDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0001-8721-202X
Mireia Obón-SantacanaUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain.ORCID 0000-0003-4646-3513
Ferran Moratalla-NavarroUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain.ORCID 0000-0001-7858-5713
Vicente MartínConsortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0003-0552-2804
Victor MorenoUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain.ORCID 0000-0002-2818-5487
Conghui QuPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0003-1927-6245
Jeroen R HuyghePublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-6027-9806
Polly A NewcombPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-8786-0043
Amanda I PhippsPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-1446-2201
Claire E ThomasPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-9515-3277
David V ContiDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0002-2941-7833
Jun WangDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0001-8372-1863
Elizabeth A PlatzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0003-3676-8954
Kala VisvanathanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-0582-8005
Temitope O KekuCenter for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0003-4019-3903
Christina C NewtonDepartment of Population Science, American Cancer Society, Atlanta, Georgia.ORCID 0000-0003-1471-5608
Caroline Y UmDepartment of Population Science, American Cancer Society, Atlanta, Georgia.ORCID 0000-0001-5449-6230
Anshul KundajeDepartment of Genetics, Stanford University, Stanford, California.ORCID 0000-0003-3084-2287
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0001-5472-6761
Niki DimouNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0003-1678-9328
Nikos PapadimitriouDepartment of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.ORCID 0000-0001-8294-7262
Fränzel J B van DuijnhovenDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands.ORCID 0000-0001-8367-2352
Satu MännistöDepartment of Public Health, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0002-8668-3046
Gad RennertAssociation for Promotion in Research in Precision Medicine, Jerusalem, Israel.ORCID 0000-0002-8512-068X
Alicja WolkInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7387-6845
Michael HoffmeisterDivision of Clinical Epidemiology of Cancer Early Detection, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-8307-3197
Hermann BrennerCancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-6129-1572
Yu TianDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0001-7218-5954
Emmanouil BourasNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0003-1489-5506
Konstantinos K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8452-8472
D Timothy BishopLeeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-8752-8785
Robert J MaclnnisCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0002-1627-5047
Daniel D BuchananColorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville Australia.ORCID 0000-0003-2225-6675
Cornelia M UlrichHuntsman Cancer Institute , University of Utah, Salt Lake City, Utah.ORCID 0000-0001-7641-059X
Anita R PeoplesHuntsman Cancer Institute , University of Utah, Salt Lake City, Utah.ORCID 0000-0003-3645-3960
Li LiDepartment of Family Medicine, University of Virginia, Charlottesville, Virginia.ORCID 0000-0003-1802-9517
Matthew A DevallDepartment of Family Medicine, University of Virginia, Charlottesville, Virginia.ORCID 0000-0001-5943-4397
Demetrius AlbanesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0001-8330-4293
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0001-5230-0652
Stephen B GruberDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California.ORCID 0000-0001-8656-7822
Edward Ruiz-NarvaezDepartment of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0002-0339-5824
Mingyang SongDepartments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.ORCID 0000-0002-1324-0316
David A DrewClinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-8813-0816
Andrew T ChanDepartments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.ORCID 0000-0001-7284-6767
Marios GiannakisBroad Institute of Harvard and MIT, Cambridge, Massachusetts.ORCID 0000-0001-9012-6982
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-8168-4712
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-5666-9318
Mariana C SternDepartment of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.ORCID 0000-0001-9777-4683
W James GaudermanDivision of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.ORCID 0000-0002-6626-9091
Funding
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
SWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2M
USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FUCHS, CHARLES S · 1991 to 2009
$41.8M
PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI David V Conti · 2016 to 2026
$25.5M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
GENETIC SUSCEPTIBILITY TO CANCER IN MULTIETHNIC COHORTSR01CA063464 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2001 to 2005
$23.2M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
Long 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
$22.3M
Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) 2017SGR723Bundesministerium für Forschung, Technologie und Raumfahrt (BMBF) 01ER0814Bundesministerium für Forschung, Technologie und Raumfahrt (BMBF) 01ER0815Bundesministerium für Forschung, Technologie und Raumfahrt (BMBF) 01ER1505ABundesministerium für Forschung, Technologie und Raumfahrt (BMBF) 01ER1505BBundesministerium für Forschung, Technologie und Raumfahrt (BMBF) 01KD2104ABundesministerium für Forschung, Technologie und Raumfahrt (BMBF) 01KH0404Cancer Council Victoria 1074383Cancer Council Victoria 396414Cancer Research UK (CRUK) 14136Cancer Research UK (CRUK) C588/A19167Cancer Research UK (CRUK) C8221/A29017Deutsche Forschungsgemeinschaft (DFG) BR 1704/17-1Deutsche Forschungsgemeinschaft (DFG) BR 1704/6-1Deutsche Forschungsgemeinschaft (DFG) BR 1704/6-3Deutsche Forschungsgemeinschaft (DFG) BR 1704/6-4Deutsche Forschungsgemeinschaft (DFG) CH 117/1-1Deutsche Forschungsgemeinschaft (DFG) HE 5998/2-1Deutsche Forschungsgemeinschaft (DFG) HO 5117/2-1Deutsche Forschungsgemeinschaft (DFG) KL 2354/3-1Deutsche Forschungsgemeinschaft (DFG) RO 2270/8-1Fundación Científica Asociación Española Contra el Cáncer (AECC) GCTRA18022MOREInstituto de Salud Carlos III (ISCIII) PI09-1,286Instituto de Salud Carlos III (ISCIII) PI14-613Intramural NIH HHS Z01 CP010200Junta de Castilla y León (JCYL) LE22A10-2Medical Research Council (MRC) 1000143Medical Research Council (MRC) MR/M012190/1National Institutes of Health (NIH) P30CA006973National Institutes of Health (NIH) P30CA014089National Institutes of Health (NIH) R01CA136726National Institutes of Health (NIH) R01 CA81488National Institutes of Health (NIH) U01AG018033National Institutes of Health (NIH) U2CCA252971National Institutes of Health (NIH) U54CA233465National Institutes of Health (NIH) Z01 CP 010200NCI NIH HHS P01 CA033619NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA196569NCI NIH HHS P30 CA006973NCI NIH HHS P30 CA014089NCI 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 CA081488NCI NIH HHS R01 CA136726NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA143237NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA197350NCI NIH HHS R01 CA201407NCI NIH HHS R01 CA242218NCI NIH HHS R01 CA273198NCI NIH HHS R35 CA197735NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA086308NCI NIH HHS U01 CA122839NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA167551NCI NIH HHS U01 CA167552NCI NIH HHS U10 CA037429NCI NIH HHS U19 CA148107NCI NIH HHS U2C CA252971NCI NIH HHS U54 CA233444NCI NIH HHS U54 CA233465NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA182883NCI NIH HHS UM1 CA186107NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008INHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIA NIH HHS U01 AG018033NIDDK NIH HHS P30 DK034987NIH HHS S10 OD028685Wellcome Trust 209057
6 · The paper itself
Abstract
backgroundRed meat and/or processed meat are established colorectal cancer risk factors. Genome-wide association studies (GWAS) have reported more than 200 variants associated with colorectal cancer risk. We used functional annotation data to identify subsets of variants within known pathways to construct pathway-based polygenic risk scores (pPRS) to assess interactions with meat intake.
methodsA pooled sample of 30,812 cases and 40,504 colorectal cancer controls from 27 studies was analyzed. Quantiles for red and processed meat intake were constructed. A total of 204 GWAS variants were annotated to genes with Annotation Query (AnnoQ) and assessed for overrepresentation in PANTHER-reported pathways. pPRSs were constructed from significantly overrepresented pathways. Covariate-adjusted logistic regression models evaluated interactions between pPRS and red or processed meat intake in relation to colorectal cancer risk.
resultsA total of 30 variants were overrepresented in four pathways: presenilin/Alzheimer disease, cadherin/WNT signaling, gonadotropin-releasing hormone receptor, and transforming growth factor-β (TGF-β) signaling. We found a significant interaction between TGF-β pPRS and red meat intake [ORint = 0.95; 95% confidence interval (CI) = 0.92-0.98; P = 0.003). When variants in the TGF-β pathway were assessed, we observed significant interactions of red meat with rs2337113 [intron SMAD family member 7 (SMAD7) gene, Chr18] and rs2208603 [intergenic region bone morphogenetic protein 5 (BMP5), Chr6; P = 0.0005 and 0.036, respectively]. There was no evidence of pPRS × red meat interactions for other pathways or with processed meat.
conclusionsThis pathway-based interaction analysis revealed a statistically significant interaction between variants in the TGF-β pathway and red meat consumption that influences colorectal cancer risk. IMPACT: These findings shed light on the possible mechanistic link between red meat consumption and colorectal cancer risk.
Indexed as
Colorectal NeoplasmsGenetic Risk ScoreRed MeatSignal TransductionTransforming Growth Factor betaAgedCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedRisk FactorsTransforming Growth Factor beta
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.
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. · full record | OpenQuestion