Evidence map›Paper›PMID 19022826›Full record

ArticleAmerican journal of epidemiology2009

Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies--challenges and opportunities.

Muin J Khoury, Sholom Wacholder

Abstract readComment
In one paragraph

Article in American journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Genetics of neurosarcoidosis.Journal of neuroimmunology · 2022
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Review
  20. The importance of gene-environment interactions in human obesity.Clinical science (London, England : 1979) · 2016
    Review

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Muin J KhouryNational Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA. muk1@cdc.gov
Sholom Wacholder

Funding

Methods for Epidemiology StudiesZIACP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBERT, PAUL · 2009 to 2025
$34.8M
Methods for Epidemiology StudiesZ01CP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI CHATTERJEE, NILANJAN · 2003 to 2008
$4.8M
Intramural NIH HHS
6 · The paper itself

Abstract

The recent success of genome-wide association studies in finding susceptibility genes for many common diseases presents tremendous opportunities for epidemiologic studies of environmental risk factors. Analysis of gene-environment interactions, included in only a small fraction of epidemiologic studies until now, will begin to accelerate as investigators integrate analyses of genome-wide variation and environmental factors. Nevertheless, considerable methodological challenges are involved in the design and analysis of gene-environment interaction studies. The authors review these issues in the context of evolving methods for assessing interactions and discuss how the current agnostic approach to interrogating the human genome for genetic risk factors could be extended into a similar approach to gene-environment-wide interaction studies of disease occurrence in human populations.

Indexed as

EnvironmentGenome, HumanGenome-Wide Association StudyEpidemiologic MethodsGene Expression RegulationGenetic MarkersGenetic Predisposition to DiseaseHumansModels, GeneticPolymorphism, Single NucleotideRisk AssessmentRisk FactorsGenetic Markers

Identifiers

PMID19022826
PMCPMC2727257

What OpenQuestion holds

Textmetadata
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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.