Evidence map›Paper›PMID 28024828›Full record

ReviewNeuroscience and biobehavioral reviews2017

Gene and environment interaction: Is the differential susceptibility hypothesis relevant for obesity?

Roberta Dalle Molle, Hajar Fatemi, Alain Dagher, Robert D Levitan, Patricia P Silveira, Laurette Dubé

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Macronutrient-specific effect of theJournal of lipid research · 2018
    Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Observational
  9. Breastfeeding moderates the relationship betweenObesity science & practice · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Temperament, socioeconomic adversity, and perinatal risk as related to preschoolers' BMI.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors.

Roberta Dalle MolleDesautels Faculty of Management, McGill Center for the Convergence of Health and Economics, McGill University, Bronfman Building, 1001 Sherbrooke St. W., Montreal, QC H3A 1G5, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada. Electronic address: betinha_dm@yahoo.com.
Hajar FatemiDesautels Faculty of Management, McGill Center for the Convergence of Health and Economics, McGill University, Bronfman Building, 1001 Sherbrooke St. W., Montreal, QC H3A 1G5, Canada.
Alain DagherMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
Robert D LevitanDepartment of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, 100 Stokes Street, Toronto, ON M6J 1H4, Canada.
Patricia P SilveiraLudmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Institute, Perry Pavilion, 6875 Boulevard LaSalle, Montreal, QC H4H 1R3, Canada.
Laurette DubéDesautels Faculty of Management, McGill Center for the Convergence of Health and Economics, McGill University, Bronfman Building, 1001 Sherbrooke St. W., Montreal, QC H3A 1G5, Canada.

Funding

Multi-level Modular Agent-based Modeling for the Study of Childhood ObesityU01HD061973 · NICHD · MCGILL UNIVERSITY · PI DUBE, LAURETTE · 2009 to 2010
$550k
NICHD NIH HHS U01 HD061973
6 · The paper itself

Abstract

The differential susceptibility model states that a given genetic variant is associated with an increased risk of pathology in negative environments but greater than average resilience in enriched ones. While this theory was first implemented in psychiatric-genetic research, it may also help us to unravel the complex ways that genes and environments interact to influence feeding behavior and obesity. We reviewed evidence on gene vs. environment interactions that influence obesity development, aiming to support the applicability of the differential susceptibility model for this condition, and propose that various environmental "layers" relevant for human development should be considered when bearing the differential susceptibility model in mind. Mother-child relationship, socioeconomic status and individual's response are important modifiers of BMI and food intake when interacting with gene variants, "for better and for worse". While only a few studies to date have investigated obesity outcomes using this approach, we propose that the differential susceptibility hypothesis is in fact highly applicable to the study of genetic and environmental influences on feeding behavior and obesity risk.

Indexed as

Gene-Environment InteractionObesityDisease SusceptibilityEnvironmentFeeding BehaviorHumansDevelopmentDifferential susceptibilityEating behaviorGene–environment interactionObesity

Identifiers

PMID28024828
PMCPMC5283807

What OpenQuestion holds

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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.