Evidence map›Paper›PMID 36571162›Full record

ArticleGenetic epidemiology2023

Improved two-step testing of genome-wide gene-environment interactions.

Eric S Kawaguchi, Andre E Kim, Juan Pablo Lewinger, W James Gauderman

Abstract read
In one paragraph

Article in Genetic epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. High-Dimensional Gene-Environment Interaction Analysis.Annual review of statistics and its application · 2025
    Article
  9. Article
  10. Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  11. Gene-Environment Analyses Reveal Novel Genetic Candidates with Prenatal Tobacco Exposure in Relation to Risk for Childhood Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  12. Genome-wide interaction analysis of folate for colorectal cancer risk.The American journal of clinical nutrition · 2023
    Article
  13. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    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

4 authors.

Eric S KawaguchiDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-2014-5023
Andre E KimDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Juan Pablo LewingerDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
W James GaudermanDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI David V Conti · 2016 to 2026
$25.5M
Using Functional Genomics to Inform Gene Environment Interactions for Colorectal CancerR01CA201407 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GAUDERMAN, WILLIAM JAMES, LE MARCHAND, LOIC · 2016 to 2020
$9.6M
Training Grant in Genomic Analysis and InterpretationT32ES013678 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES, MCCONNELL, ROB S · 2006 to 2023
$5.6M
NCI NIH HHS P01 CA196569NCI NIH HHS R01 CA201407NIEHS NIH HHS P30 ES007048NIEHS NIH HHS T32 ES013678
6 · The paper itself

Abstract

Two-step tests for gene-environment (

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyComputer SimulationHumansModels, GeneticPhenotypePolymorphism, Single Nucleotidecancergenome-widelinkage disequilibriumpowersingle-nucleotide polymorphismsType I error

Identifiers

PMID36571162
PMCPMC9974838

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.