Evidence map›Paper›PMID 22596931›Full record

ArticleInternational journal of epidemiology2012

Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans.

Paolo Boffetta, Deborah M Winn, John P Ioannidis, Duncan C Thomas, Julian Little, George Davey Smith, Vincent J Cogliano, Stephen S Hecht, Daniela Seminara, Paolo Vineis and 1 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 8 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

27 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
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  7. Association between NQO1 C609T polymorphism and bladder cancer susceptibility: a systemic review and meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  8. Knowledge integration in cancer: current landscape and future prospects.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Pooled it
  9. Genetics, epigenetics, and transcriptomics of preterm birth.American journal of reproductive immunology (New York, N.Y. : 1989) · 2022
    Review
  10. Article
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  12. A Systematic Analysis of Interactions between Environmental Risk Factors and Genetic Variation in Susceptibility to Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Paolo BoffettaTisch Cancer Institute, Mount Sinai School of Medicine, NY, USA. paolo.boffetta@mssm.edu
Deborah M Winn
John P Ioannidis
Duncan C Thomas
Julian Little
George Davey Smith
Vincent J Cogliano
Stephen S Hecht
Daniela Seminara
Paolo Vineis
Muin J Khoury

Funding

Methods for Pathway Modeling with Application to FolateR01ES019876 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2010 to 2014
$2.9M
Medical Research Council G0600705NIEHS NIH HHS R01 ES019876
6 · The paper itself

Abstract

We propose guidelines to evaluate the cumulative evidence of gene-environment (G × E) interactions in the causation of human cancer. Our approach has its roots in the HuGENet and IARC Monographs evaluation processes for genetic and environmental risk factors, respectively, and can be applied to common chronic diseases other than cancer. We first review issues of definitions of G × E interactions, discovery and modelling methods for G × E interactions, and issues in systematic reviews of evidence for G × E interactions, since these form the foundation for appraising the credibility of evidence in this contentious field. We then propose guidelines that include four steps: (i) score the strength of the evidence for main effects of the (a) environmental exposure and (b) genetic variant; (ii) establish a prior score category and decide on the pattern of interaction to be expected; (iii) score the strength of the evidence for interaction between the environmental exposure and the genetic variant; and (iv) examine the overall plausibility of interaction by combining the prior score and the strength of the evidence and interpret results. We finally apply the scheme to the interaction between NAT2 polymorphism and tobacco smoking in determining bladder cancer risk.

Indexed as

Gene-Environment InteractionPractice Guidelines as TopicResearch DesignArylamine N-AcetyltransferaseData Interpretation, StatisticalHumansModels, TheoreticalNeoplasmsSmokingUrinary Bladder NeoplasmsArylamine N-AcetyltransferaseNAT2 protein, human

Identifiers

PMID22596931
PMCPMC3481885

What OpenQuestion holds

Textmetadata
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.