Evidence map›Paper›PMID 21357381›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Genotype-environment interactions in microsatellite stable/microsatellite instability-low colorectal cancer: results from a genome-wide association study.

Jane C Figueiredo, Juan Pablo Lewinger, Chi Song, Peter T Campbell, David V Conti, Christopher K Edlund, Dave J Duggan, Jagadish Rangrej, Mathieu Lemire, Thomas Hudson and 11 more

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 7 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, 7 syntheses or guidelines pooled it.

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  8. Review
  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
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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

21 authors.

Jane C FigueiredoDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. janefigu@usc.edu
Juan Pablo Lewinger
Chi Song
Peter T Campbell
David V Conti
Christopher K Edlund
Dave J Duggan
Jagadish Rangrej
Mathieu Lemire
Thomas Hudson
Brent Zanke
Michelle Cotterchio
Steven Gallinger
Mark Jenkins
John Hopper
Robert Haile
Polly Newcomb
John Potter
John A Baron
Loic Le Marchand
Graham Casey

Funding

USC Consortium:Colorectal Cancer Family RegistryU01CA074799 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAILE, ROBERT WILLIAM · 1997 to 2008
$20.4M
SEATTLE FAMILIAL COLORECTAL CANCER REGISTRYU01CA074794 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NEWCOMB, POLLY A · 1997 to 2007
$14.1M
ONTARIO REGISTRY FOR STUDIES OF FAMILIAL COLON CANCERU01CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 1997 to 2008
$12.5M
The Colon Cancer Family Registry: USC ConsortiumU24CA074799 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAILE, ROBERT WILLIAM · 2008 to 2011
$7.6M
Genomic Wide Association Study of Colorectal CancerU01CA122839 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CASEY, GRAHAM · 2006 to 2010
$7.3M
The Colon Cancer Family Registry: SeattleU24CA074794 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NEWCOMB, POLLY A · 2008 to 2011
$7.0M
AUSTRALASIAN COLORECTAL CANCER FAMILY REGISTRYU01CA097735 · NCI · UNIVERSITY OF MELBOURNE · PI HOPPER, JOHN L · 2002 to 2007
$6.9M
The Colon Cancer Family Registry: AustralasiaU24CA097735 · NCI · UNIVERSITY OF MELBOURNE · PI HOPPER, JOHN L · 2008 to 2011
$6.2M
The Colon Cancer Family Registry: OntarioU24CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 2008 to 2011
$4.1M
Redox Regulation of Metastasis by Sod2K22CA095011 · NCI · ALBANY MEDICAL COLLEGE · PI MELENDEZ, JUAN ANDRES · 2002 to 2004
$446k
NCI NIH HHS CA-95-011NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA074794NCI NIH HHS U01 CA074799NCI NIH HHS U01 CA097735NCI NIH HHS U01 CA122839NCI NIH HHS U01CA122839NCI NIH HHS U24 CA074783NCI NIH HHS U24 CA074794NCI NIH HHS U24 CA074799NCI NIH HHS U24 CA097735
6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWAS) have led to the identification of a number of common susceptibility loci for colorectal cancer (CRC); however, none of these GWAS have considered gene-environment (G × E) interactions. Therefore, it is unclear whether current hits are modified by environmental exposures or whether there are additional hits whose effects are dependent on environmental exposures.

methodsWe conducted a systematic search for G × E interactions using genome wide data from the Colon Cancer Family Registry that included 1,191 cases of microsatellite stable (MSS) or microsatellite instability-low (MSI-L) CRC and 999 controls genotyped using either the Illumina Human1M or Human1M-Duo BeadChip. We tested for interactions between genotypes and 14 environmental factors using 3 methods: a traditional case-control test, a case-only test, and the recently proposed 2-step method by Murcray and colleagues. All potentially significant findings were replicated in the ARCTIC Study.

resultsNo G × E interactions were identified that reached genome-wide significance by any of the 3 methods. When analyzing previously reported susceptibility loci, 7 significant G × E interactions were found at a 5% significance level. We investigated these 7 interactions in an independent sample and none of the interactions were replicated.

conclusionsIdentifying G × E interactions will present challenges in a GWAS setting. Our power calculations illustrate the need for larger sample sizes; however, as CRC is a heterogeneous disease, a tradeoff between increasing sample size and heterogeneity needs to be considered. IMPACT: The results from this first genome-wide analysis of G × E in CRC identify several challenges, which may be addressed by large consortium efforts.

Indexed as

EnvironmentGenome-Wide Association StudyMicrosatellite InstabilityCanadaCase-Control StudiesColorectal NeoplasmsFemaleGenotypeHumansMaleMiddle AgedPhenotypePolymorphism, GeneticQuantitative Trait LociRisk Factors

Identifiers

PMID21357381
PMCPMC3089660

What OpenQuestion holds

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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.