Evidence map›Paper›PMID 27503943›Full record

ReviewClinical science (London, England : 1979)2016

The importance of gene-environment interactions in human obesity.

Hudson Reddon, Jean-Louis Guéant, David Meyre

Abstract readReview
In one paragraph

Review in Clinical science (London, England : 1979), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 4 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

82 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pollution, stress response, and obesity: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  3. Pooled it
  4. Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
  5. Trial
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  14. Impact of a soybean oil-enriched diet on metabolic parameters in a chick model of childhood obesity.Veterinary research forum : an international quarterly journal · 2026
    Article
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  16. Body mass trajectories from adolescence to adulthood in the United States: Effects of racial identification and adverse childhood experiences.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2025
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22 more citing papers are in PubMed but not listed here.

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

3 authors.

Hudson ReddonDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
Jean-Louis GuéantInserm U-954, Faculté de Médecine, University of Lorraine and University Hospital Center of Nancy, Nancy 54052, France.
David MeyreDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada L8N 3Z5 Inserm U-954, Faculté de Médecine, University of Lorraine and University Hospital Center of Nancy, Nancy 54052, France Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada L8N 3Z5 meyred@mcmaster.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.

Indexed as

Gene-Environment InteractionAnimalsGenetic Predisposition to DiseaseHumansLife StyleObesitygene–environment interactionsheritabilitymethodologymonogenicobesitypolygenic

Identifiers

PMID27503943
PMCPMC6381863

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.