Evidence map›Paper›PMID 21216485›Full record

ReviewTrends in genetics : TIG2011

Gene-environment interactions in human disease: nuisance or opportunity?

Carole Ober, Donata Vercelli

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 3 pooled it
14.8field-weighted citation impact, top 1% 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.

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

87 citing papers in PubMed, 3 syntheses or guidelines pooled it, 180 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Amniotic fluid modifies esophageal epithelium differentiation and inflammatory responses.American journal of physiology. Gastrointestinal and liver physiology · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetics of Asthma and Allergic Diseases.Handbook of experimental pharmacology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Gene-Environment Interaction: A Variable Selection Perspective.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  19. Article
  20. Article

27 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

2 authors at 2 institutions in 1 country.

Carole OberDepartment of Human Genetics, 920 E. 58th Street, The University of Chicago, Chicago, IL 60637, USA. c-ober@genetics.uchicago.edu
Donata Vercelli
University of Arizona · USUniversity of Chicago · US

Funding

Virus-Bacterial Interactions and Exacerba of AsthmaP01HL070831 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GERN, JAMES E. · 2002 to 2017
$31.3M
Sex-Specific Genetic Architecture of Asthma-Associated Quantitative TraitsR01HL085197 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2007 to 2015
$7.6M
The EVE Asthma Genetics Consortium: Building Upon GWASRC2HL101651 · NHLBI · UNIVERSITY OF CHICAGO · PI NICOLAE, DAN LIVIU, OBER, CAROLE · 2009 to 2010
$7.4M
HUMAN IL-13 GENE REGULATION AND IMPACT OF POLYMORPHISMSR01HL066391 · NHLBI · UNIVERSITY OF ARIZONA · PI VERCELLI, DONATA · 2000 to 2014
$5.0M
Epigenetic predicators of asthma in neonatesRC1HL100800 · NHLBI · UNIVERSITY OF ARIZONA · PI VERCELLI, DONATA · 2009 to 2010
$959k
Mouse models for the functional analysis of asthma-associated human polymorphismsR21AI076715 · NIAID · UNIVERSITY OF ARIZONA · PI VERCELLI, DONATA · 2008 to 2009
$580k
FUNCTIONAL GENOMICS CENTER FOR INNATE IMMUNITY PGAU01HL066803 · NHLBI · UNIVERSITY OF ARIZONA · PI VERCELLI, DONATA · 2000 to 2003
$185k
NHLBI NIH HHS HL085197NHLBI NIH HHS HL100800NHLBI NIH HHS HL101651NHLBI NIH HHS HL66391NHLBI NIH HHS HL70831NHLBI NIH HHS P01 HL070831NHLBI NIH HHS R01 HL066391NHLBI NIH HHS R01 HL085197NHLBI NIH HHS RC1 HL100800NHLBI NIH HHS RC2 HL101651NHLBI NIH HHS U01 HL066803NIAID NIH HHS AI076715NIAID NIH HHS R21 AI076715
6 · The paper itself

Abstract

Many environmental risk factors for common, complex human diseases have been revealed by epidemiologic studies, but how genotypes at specific loci modulate individual responses to environmental risk factors is largely unknown. Gene-environment interactions will be missed in genome-wide association studies and could account for some of the 'missing heritability' for these diseases. In this review, we focus on asthma as a model disease for studying gene-environment interactions because of relatively large numbers of candidate gene-environment interactions with asthma risk in the literature. Identifying these interactions using genome-wide approaches poses formidable methodological problems, and elucidating molecular mechanisms for these interactions has been challenging. We suggest that studying gene-environment interactions in animal models, although more tractable, might not be sufficient to shed light on the genetic architecture of human diseases. Lastly, we propose avenues for future studies to find gene-environment interactions.

Indexed as

EnvironmentAsthmaEpigenomicsGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumans

Identifiers

PMID21216485
PMCPMC3073697
OpenAlexW1981119260

What OpenQuestion holds

Textmetadata
LicenceTDM
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.