Evidence map›Paper›PMID 32324875›Full record

ArticleJournal of the National Cancer Institute2021

Association of Body Mass Index With Colorectal Cancer Risk by Genome-Wide Variants.

Peter T Campbell, Yi Lin, Stephanie A Bien, Jane C Figueiredo, Tabitha A Harrison, Mark A Guinter, Sonja I Berndt, Hermann Brenner, Andrew T Chan, Jenny Chang-Claude and 29 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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.

NCT02328677 recruitingnot on this map

ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis

TypeobservationalSponsorUniversity of UtahRan2007 to 2030Enrolled5,000ConditionsColorectal Cancer
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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
  10. Article
  11. Article
  12. Article
  13. The Ketogenic Diet in Colorectal Cancer: A Means to an End.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Oh GxE! The Complexity of Body Mass Index and Colon Cancer Risk.Journal of the National Cancer Institute · 2021
    Article
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors at 20 institutions in 6 countries.

Peter T CampbellBehavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA.
Yi LinPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Stephanie A BienPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Jane C FigueiredoDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Tabitha A HarrisonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Mark A GuinterBehavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA.
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Steven J GallingerLunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
Susan M GapsturBehavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Edward GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Stephen B GruberCenter for Precision Medicine and Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Marc GunterSection of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Eric J JacobsBehavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA.
Mark A JenkinsCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Loic Le MarchandUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Li LiDepartment of Family Medicine and Cancer Center, University of Virginia, Charlottesville, VA, USA.
John R McLaughlinDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Neil MurphySection of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Polly A NewcombPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Christina NewtonBehavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA.
Shuji OginoBroad Institute of Harvard and MIT, Cambridge, MA, USA.
John D PotterPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Gad RennertDepartment of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel.
Hedy S RennertDepartment of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel.
Jennifer RobinsonDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
Lori C SakodaPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Martha L SlatteryDepartment of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
Yiqing SongDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Emily WhitePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Michael O WoodsDiscipline of Genetics, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Graham CaseyCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Fred Hutch Cancer Center · USAmerican Cancer Society · USThe University of Melbourne · AUBroad Institute · USCentre international de recherche sur le cancer · FRGerman Cancer Research Center · DETechnion – Israel Institute of Technology · ILUniversity of Virginia · USUniversity of Washington · USCity Of Hope National Medical Center · USHarvard University · USIndiana University – Purdue University Indianapolis · USKaiser Permanente · USMemorial University of Newfoundland · CAMount Sinai Hospital · CANational Institutes of Health · USUniversität Hamburg · DEUniversity of Hawaiʻi at Mānoa · USUniversity of Iowa · USUniversity of Southern California · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
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
Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
Transdisciplinary Team Science in Colorectal Cancer Prognosis: the ColoCare StudyU01CA206110 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jane C. Figueiredo, Christopher I Li · 2016 to 2026
$18.6M
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
Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
Detection of Colorectal Cancer Susceptibility Loci Using Genome-Wide SequencingU01CA164930 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2012 to 2015
$12.4M
Genome-Wide Association Study of Nonsynonymous SNPs in Colon CancerR01CA059045 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 1994 to 2011
$11.5M
Transdisciplinary Studies of Genetic Variation in Colorectal CancerU19CA148107 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GRUBER, STEPHEN B · 2010 to 2014
$11.1M
Using Functional Genomics to Inform Gene Environment Interactions for Colorectal CancerR01CA201407 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GAUDERMAN, WILLIAM JAMES, LE MARCHAND, LOIC · 2016 to 2020
$9.6M
MOLECULAR EPIDEMIOLOGY OF COLORECTAL CANCERR01CA081488 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GRUBER, STEPHEN B · 1999 to 2008
$9.2M
NCI NIH HHS K05 CA154337NCI NIH HHS P01 CA033619NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA063464NCI NIH HHS R01 CA081488NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA197350NCI NIH HHS R01 CA201407NCI NIH HHS R35 CA197735NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA167551NCI NIH HHS U01 CA206110NCI NIH HHS U19 CA148107World Health Organization 001
6 · The paper itself

Abstract

backgroundBody mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk.

methodsWe tested multiplicative statistical interactions between BMI (per 5 kg/m2) and approximately 2.7 million single nucleotide polymorphisms with colorectal cancer risk among 14 059 colorectal cancer case (53.2% women) and 14 416 control (53.8% women) participants. All analyses were stratified by sex a priori. Statistical methods included 2-step (ie, Cocktail method) and single-step (ie, case-control logistic regression and a joint 2-degree of freedom test) procedures. All statistical tests were two-sided.

resultsEach 5 kg/m2 increase in BMI was associated with higher risks of colorectal cancer, less so for women (odds ratio [OR] = 1.14, 95% confidence intervals [CI] = 1.11 to 1.18; P = 9.75 × 10-17) than for men (OR = 1.26, 95% CI = 1.20 to 1.32; P = 2.13 × 10-24). The 2-step Cocktail method identified an interaction for women, but not men, between BMI and a SMAD7 intronic variant at 18q21.1 (rs4939827; Pobserved = .0009; Pthreshold = .005). A joint 2-degree of freedom test was consistent with this finding for women (joint P = 2.43 × 10-10). Each 5 kg/m2 increase in BMI was more strongly associated with colorectal cancer risk for women with the rs4939827-CC genotype (OR = 1.24, 95% CI = 1.16 to 1.32; P = 2.60 × 10-10) than for women with the CT (OR = 1.14, 95% CI = 1.09 to 1.19; P = 1.04 × 10-8) or TT (OR = 1.07, 95% CI = 1.01 to 1.14; P = .02) genotypes.

conclusionThese results provide novel insights on a potential mechanism through which a SMAD7 variant, previously identified as a susceptibility locus for colorectal cancer, and BMI may influence colorectal cancer risk for women.

Indexed as

Body Mass IndexGenetic Predisposition to DiseaseAgedColorectal NeoplasmsFemaleGenome-Wide Association StudyGenotypeHumansLogistic ModelsMaleMiddle AgedPolymorphism, Single NucleotideRisk AssessmentRisk FactorsSmad7 ProteinSmad7 ProteinSMAD7 protein, human

Identifiers

PMID32324875
PMCPMC7781451
OpenAlexW3017658444

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Registered trials

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.