Evidence map›Paper›PMID 8936580›Full record

ArticlePreventive medicine

Gene-environment interaction: definitions and study designs.

R Ottman

Open access · hybridAbstract read
In one paragraph

Article in Preventive medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 5 pooled it
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

139 citing papers in PubMed, 5 syntheses or guidelines pooled it, 324 citations in OpenAlex.

  1. Pooled it
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  3. Role of the CommonGenes · 2020
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79 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

R OttmanG. H. Sergievsky Center, Columbia University, New York, New York, USA.
New York State Psychiatric Institute

Funding

GENETIC EPIDEMIOLOGY OF FAMILIAL EPILEPSYR01NS020656 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI OTTMAN, RUTH · 1985 to 2001
$1.2M
NINDS NIH HHS R01 NS020656NINDS NIH HHS R01-NS20656
6 · The paper itself

Abstract

Study of gene-environment interaction is important for improving accuracy and precision in the assessment of both genetic and environmental influences. This overview presents a simple definition of gene-environment interaction and suggests study designs for detecting it. Gene-environment interaction is defined as "a different effect of an environmental exposure on disease risk in persons with different genotypes," or, alternatively, "a different effect of a genotype on disease risk in persons with different environmental exposures." Under this strictly statistical definition, the presence or absence of interaction depends upon the scale of measurement (additive or multiplicative). The decision of which scale is appropriate will be governed by many factors, including the main objective of an investigation (discovery of etiology, public health prediction, etc.) and the hypothesized pathophysiologic model. Five biologically plausible models are described for the relations between genotypes and environmental exposures, in terms of their effects on disease risk. Each of these models leads to a different set of predictions about disease risk in individuals classified by presence or absence of a high-risk genotype and environmental exposure. Classification according to the exposure is relatively easy, using conventional epidemiologic methods. Classification according to the high-risk genotype is more difficult, but several alternative strategies are suggested.

Indexed as

CausalityEnvironmentEpidemiologic MethodsGenetic Predisposition to DiseaseOdds RatioDisease SusceptibilityGenetics, MedicalHumansModels, BiologicalModels, Genetic

Identifiers

PMID8936580
PMCPMC2823480
OpenAlexW2002267074

What OpenQuestion holds

Textmetadata
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.