Evidence map›Paper›PMID 30536881›Full record

SynthesisInternational journal of cancer2019

Gene-environment interactions and colorectal cancer risk: An umbrella review of systematic reviews and meta-analyses of observational studies.

Tian Yang, Xue Li, Zahra Montazeri, Julian Little, Susan M Farrington, John P A Ioannidis, Malcolm G Dunlop, Harry Campbell, Maria Timofeeva, Evropi Theodoratou

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. 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 · 2026
    Article
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  17. Review
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  20. 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 · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tian YangCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.
Xue LiCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.
Zahra MontazeriSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Julian LittleSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Susan M FarringtonColon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom.
John P A IoannidisStanford Prevention Research Center, Departments of Medicine, of Health Research and Policy, and of Biomedical Data Science, Stanford University School of Medicine, and Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, California, USA.
Malcolm G DunlopColon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom.
Harry CampbellCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.
Maria TimofeevaColon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-2503-4253
Evropi TheodoratouCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
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
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
VALIDATION OF A DIET HISTORY METHOD FOR EPIDEMIOLOGIC STUDIES OF CANCERP01CA033619 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1985 to 2010
$18.5M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
ONTARIO REGISTRY FOR STUDIES OF FAMILIAL COLON CANCERU01CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 1997 to 2008
$12.5M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Colon Cancer Family Registry CohortUM1CA167551 · NCI · STANFORD UNIVERSITY · PI HAILE, ROBERT WILLIAM, JENKINS, MARK A · 2013 to 2017
$11.3M
Cancer Research UK 12076Cancer Research UK 18927Cancer Research UK 22804Cancer Research UK C31250/A22804C348/A18927CCR NIH HHS HHSN261201300011CIntramural NIH HHS Z01 CP010200Medical Research Council G0600237Medical Research Council G0600329Medical Research Council MC_PC_U127527198Medical Research Council MC_U127527198Medical Research Council MC_UU_00007/1Medical Research Council MR/K018647/1NCI NIH HHS CA015704R01NCI NIH HHS CA074778U01NCI NIH HHS CA074783U01/U24NCI NIH HHS CA074794U01/U24NCI NIH HHS CA074799U01/U24NCI NIH HHS CA074800U01/U24NCI NIH HHS CA074806U01/U24NCI NIH HHS CA097735UM1NCI NIH HHS CA122839U01/U24NCI NIH HHS CA137088P30NCI NIH HHS CA143247R01201407U01NCI NIH HHS CA167551NCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201300012INCI NIH HHS HHSN261201300021CNCI NIH HHS P01 CA087969NCI NIH HHS R01 CA076366NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA167551NCI NIH HHS UM1 CA167551NHLBI NIH HHS HHSN268201100001CNHLBI NIH HHS HHSN268201100002CNHLBI NIH HHS HHSN268201100003CNHLBI NIH HHS HHSN268201100004CNHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN271201100004CNIA NIH HHS HHSN271201100004CNIH HHS K05 CA154337NIH HHS K07 CA190673NIH HHS P01 CA033619NIH HHS P01 CA055075NIH HHS P01 CA087969NIH HHS P50 CA127003NIH HHS R01 CA042182NIH HHS R01 CA063464NIH HHS R01 CA137178NIH HHS R01 CA151993NIH HHS R01 CA48998NIH HHS R01 CA60987NIH HHS R35 CA197735NIH HHS R37 CA54281NIH HHS U01 CA074783NIH HHS U01 CA167552NIH HHS U01 HG 004438NIH HHS U01 HG004446NIH HHS UM1 CA167552NIH HHS UM1 CA186107NIH HHS Z01 CP 010200Wellcome Trust
6 · The paper itself

Abstract

The cause of colorectal cancer (CRC) is multifactorial, involving both genetic variants and environmental risk factors. We systematically searched the MEDLINE, EMBASE, China National Knowledge Infrastructure (CNKI) and Wanfang databases from inception to December 2016, to identify systematic reviews and meta-analyses of observational studies that investigated gene-environment (G×E) interactions in CRC risk. Then, we critically evaluated the cumulative evidence for the G×E interactions using an extension of the Human Genome Epidemiology Network's Venice criteria. Overall, 15 articles reporting systematic reviews of observational studies on 89 G×E interactions, 20 articles reporting meta-analyses of candidate gene- or single-nucleotide polymorphism-based studies on 521 G×E interactions, and 8 articles reporting 33 genome-wide G×E interaction analyses were identified. On the basis of prior and observed scores, only the interaction between rs6983267 (8q24) and aspirin use was found to have a moderate overall credibility score as well as main genetic and environmental effects. Though 5 other interactions were also found to have moderate evidence, these interaction effects were tenuous due to the lack of main genetic effects and/or environmental effects. We did not find highly convincing evidence for any interactions, but several associations were found to have moderate strength of evidence. Our conclusions are based on application of the Venice criteria which were designed to provide a conservative assessment of G×E interactions and thus do not include an evaluation of biological plausibility of an observed joint effect.

Indexed as

Polymorphism, Single NucleotideAspirinChromosomes, Human, Pair 8Colorectal NeoplasmsGene-Environment InteractionGenetic Predisposition to DiseaseHumansObservational Studies as TopicRisk FactorsSystematic Reviews as TopicAspirincolorectal cancerdietenvironmentgeneinteractionrisk factor

Identifiers

PMID30536881
PMCPMC6767750

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Registered trials

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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.