Evidence map›Paper›PMID 28978193›Full record

ArticleAmerican journal of epidemiology2017

Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.

Kimberly McAllister, Leah E Mechanic, Christopher Amos, Hugues Aschard, Ian A Blair, Nilanjan Chatterjee, David Conti, W James Gauderman, Li Hsu, Carolyn M Hutter and 12 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 3 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

113 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
  4. Article
  5. Review
  6. Review
  7. Alzheimer's disease multi-ancestry genome-wide interaction and stratified study with smoking.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. Robust Mixed Model Association Test for Gene-Environment Interactions.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Cell villages and Dirichlet modeling map human cell fitness genetics.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. High-Dimensional Gene-Environment Interaction Analysis.Annual review of statistics and its application · 2025
    Article
  18. Review
  19. Review
  20. The Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia: A Gene-Environment Interaction Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Kimberly McAllister
Leah E Mechanic
Christopher Amos
Hugues Aschard
Ian A Blair
Nilanjan Chatterjee
David Conti
W James Gauderman
Li Hsu
Carolyn M Hutter
Marta M Jankowska
Jacqueline Kerr
Peter Kraft
Stephen B Montgomery
Bhramar Mukherjee
George J Papanicolaou
Chirag J Patel
Marylyn D Ritchie
Beate R Ritz
Duncan C Thomas
Peng Wei
John S Witte

Funding

ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul Marjoram · 2016 to 2026
$25.5M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos · 2017 to 2026
$23.7M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Clinically Relevant Genome Variation DatabaseU01HG007436 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, PLON, SHARON E. · 2013 to 2016
$10.5M
Using Functional Genomics to Inform Gene Environment Interactions for Colorectal CancerR01CA201407 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CASEY, GRAHAM, GAUDERMAN, WILLIAM JAMES · 2016 to 2020
$9.6M
Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection ofP01CA053996 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRENTICE, ROSS L · 1991 to 2015
$9.4M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic EpidemiologyR01CA189532 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 2015 to 2023
$4.2M
Coordinating Center: Molecular and Cellular Findings of Screen-Detected LesionsU01CA196386 · NCI · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2015 to 2020
$4.1M
NCI NIH HHS P01 CA053996NCI NIH HHS P01 CA196569NCI NIH HHS R01 CA140561NCI NIH HHS R01 CA169122NCI NIH HHS R01 CA179977NCI NIH HHS R01 CA189532NCI NIH HHS R01 CA195789NCI NIH HHS R01 CA201358NCI NIH HHS R01 CA201407NCI NIH HHS R21 CA169535NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA196386NCI NIH HHS U19 CA203654NHGRI NIH HHS R01 HG008150NHGRI NIH HHS R21 HG007687NHGRI NIH HHS U01 HG007436NHGRI NIH HHS U01 HG009080NHGRI NIH HHS U01 HG009088NHLBI NIH HHS R01 HL116720NHLBI NIH HHS R21 HL126032NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R00 ES023504NIEHS NIH HHS R21 ES020811NIEHS NIH HHS R21 ES024844NIEHS NIH HHS R21 ES025052NIH HHS U24 OD023382NIMHD NIH HHS R01 MD010443NIMH NIH HHS R01 MH101814
6 · The paper itself

Abstract

Recently, many new approaches, study designs, and statistical and analytical methods have emerged for studying gene-environment interactions (G×Es) in large-scale studies of human populations. There are opportunities in this field, particularly with respect to the incorporation of -omics and next-generation sequencing data and continual improvement in measures of environmental exposures implicated in complex disease outcomes. In a workshop called "Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases," held October 17-18, 2014, by the National Institute of Environmental Health Sciences and the National Cancer Institute in conjunction with the annual American Society of Human Genetics meeting, participants explored new approaches and tools that have been developed in recent years for G×E discovery. This paper highlights current and critical issues and themes in G×E research that need additional consideration, including the improved data analytical methods, environmental exposure assessment, and incorporation of functional data and annotations.

Indexed as

Gene-Environment InteractionDiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansSoftwareenvironmental exposuregene-environment interactiongenome-wide association study

Identifiers

PMID28978193
PMCPMC5860428

What OpenQuestion holds

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Read underepoch 390

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.