Evidence map›Paper›PMID 19924704›Full record

ArticleGenetic epidemiology2009

Detecting gene-environment interactions in genome-wide association data.

Corinne D Engelman, James W Baurley, Yen-Feng Chiu, Bonnie R Joubert, Juan P Lewinger, Matthew J Maenner, Cassandra E Murcray, Gang Shi, W James Gauderman

Open access · greenAbstract readConference Proceedings
In one paragraph

Article in Genetic epidemiology, 2009. 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
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  11. Genetics of nonsyndromic orofacial clefts.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2012
    Review
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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

9 authors at 6 institutions in 2 countries.

Corinne D EngelmanDepartment of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726-2397, USA. cengelman@wisc.edu
James W Baurley
Yen-Feng Chiu
Bonnie R Joubert
Juan P Lewinger
Matthew J Maenner
Cassandra E Murcray
Gang Shi
W James Gauderman
University of Southern California · USNational Health Research Institutes · TWUniversity of North Carolina at Chapel Hill · USUniversity of Wisconsin–Madison · USWashington University in St. Louis · USWisconsin Division of Public Health · US

Funding

GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

Despite the importance of gene-environment (GxE) interactions in the etiology of common diseases, little work has been done to develop methods for detecting these types of interactions in genome-wide association study data. This was the focus of Genetic Analysis Workshop 16 Group 10 contributions, which introduced a variety of new methods for the detection of GxE interactions in both case-control and family-based data using both cross-sectional and longitudinal study designs. Many of these contributions detected significant GxE interactions. Although these interactions have not yet been confirmed, the results suggest the importance of testing for interactions. Issues of sample size, quantifying the environmental exposure, longitudinal data analysis, family-based analysis, selection of the most powerful analysis method, population stratification, and computational expense with respect to testing GxE interactions are discussed.

Indexed as

Arthritis, RheumatoidCardiovascular DiseasesCase-Control StudiesCross-Sectional StudiesEnvironmentGenome-Wide Association StudyHumansLongitudinal StudiesMolecular EpidemiologyPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID19924704
PMCPMC2924567
OpenAlexW1986982038

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.