Evidence map›Paper›PMID 20212493›Full record

ReviewNature reviews. Genetics2010

Gene--environment-wide association studies: emerging approaches.

Duncan Thomas

Abstract readReviewValidation Study
In one paragraph

Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 384 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
384citing papers in PubMed, 16 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

384 citing papers in PubMed, 16 syntheses or guidelines pooled it.

  1. Systematic review on gene-sun exposure interactions in skin cancer.Molecular genetics & genomic medicine · 2023
    Pooled it
  2. Cancer Effects of Low to Moderate Doses of Ionizing Radiation in Young People with Cancer-Predisposing Conditions: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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  5. Genetic variants related to physical activity or sedentary behaviour: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
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  7. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
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324 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Duncan ThomasMedicine, University of Southern California, 1540 Alcazar Street, CHP‑220, Los Angeles, California 90089‑9011, USA. dthomas@usc.edu

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
Methods for Pathway Modeling with Application to FolateR01ES019876 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2010 to 2014
$2.9M
HIERARCHICAL MODELING OF INTERACTIONS IN GENOME-WIDE AND PATHWAY-BASED STUDIESR01ES016813 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CONTI, DAVID V · 2009 to 2010
$1.1M
DESIGN AND ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIESU01ES015090 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2006 to 2008
$927k
PHARMACOLOGIC TOXICOLOGY OF ENVIRONMENTAL CHEMICALST32ES007043 · NIEHS · MEDICAL COLLEGE OF WISCONSIN · PI FUJIMOTO, JAMES M · 1985 to 1985
–
NIEHS NIH HHS 1R01 ES016813NIEHS NIH HHS 1U01 ES15090NIEHS NIH HHS 5P30 ES007043NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES019876NIEHS NIH HHS U01 ES015090
6 · The paper itself

Abstract

Despite the yield of recent genome-wide association (GWA) studies, the identified variants explain only a small proportion of the heritability of most complex diseases. This unexplained heritability could be partly due to gene--environment (G×E) interactions or more complex pathways involving multiple genes and exposures. This Review provides a tutorial on the available epidemiological designs and statistical analysis approaches for studying specific G×E interactions and choosing the most appropriate methods. I discuss the approaches that are being developed for studying entire pathways and available techniques for mining interactions in GWA data. I also explore methods for marrying hypothesis-driven pathway-based approaches with 'agnostic' GWA studies.

Indexed as

EnvironmentData MiningEpigenesis, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansModels, GeneticRisk Factors

Identifiers

PMID20212493
PMCPMC2891422

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.