Evidence map›Paper›PMID 23253229›Full record

ReviewEnvironmental health : a global access science source2012

Design and analysis issues in gene and environment studies.

Chen-yu Liu, Arnab Maity, Xihong Lin, Robert O Wright, David C Christiani

Open access · goldAbstract readReview
In one paragraph

Review in Environmental health : a global access science source, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  15. The importance of gene-environment interactions in human obesity.Clinical science (London, England : 1979) · 2016
    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

5 authors at 4 institutions in 1 country.

Chen-yu LiuEnvironmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Arnab Maity
Xihong Lin
Robert O Wright
David C Christiani
Harvard University · USBoston University · USIcahn School of Medicine at Mount Sinai · USNorth Carolina State University · US

Funding

Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Superfund Metal Mixtures, Biomarkers and NeurodevelopmentP42ES016454 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BELLINGER, DAVID C · 2010 to 2015
$10.1M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LIN, XIHONG · 2008 to 2017
$6.8M
Metal Mixtures and NeurodevelopmentR01ES014930 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WRIGHT, ROBERT O · 2006 to 2010
$3.2M
Environment, Fetal Tissue DNA Methylation & BirthweightR01ES020268 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2011 to 2013
$2.5M
Statistical Methods for Correlated and High-Dimensional Biomedical DataR37CA076404 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG · 2007 to 2014
$2.5M
Statistical Methods for Analysis of High-Dimensional Gene and Environment DataR00ES017744 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MAITY, ARNAB · 2011 to 2013
$663k
Statistical Methods for Analysis of High-Dimensional Gene and Environment DataK99ES017744 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI MAITY, ARNAB · 2010 to 2010
$76k
NCI NIH HHS 5P01CA134294NCI NIH HHS 5R37CA076404NIEHS NIH HHS ES P42 016454NIEHS NIH HHS R00ES017744
6 · The paper itself

Abstract

Both nurture (environmental) and nature (genetic factors) play an important role in human disease etiology. Traditionally, these effects have been thought of as independent. This perspective is ill informed for non-mendelian complex disorders which result as an interaction between genetics and environment. To understand health and disease we must study how nature and nurture interact. Recent advances in human genomics and high-throughput biotechnology make it possible to study large numbers of genetic markers and gene products simultaneously to explore their interactions with environment. The purpose of this review is to discuss design and analytic issues for gene-environment interaction studies in the "-omics" era, with a focus on environmental and genetic epidemiological studies. We present an expanded environmental genomic disease paradigm. We discuss several study design issues for gene-environmental interaction studies, including confounding and selection bias, measurement of exposures and genotypes. We discuss statistical issues in studying gene-environment interactions in different study designs, such as choices of statistical models, assumptions regarding biological factors, and power and sample size considerations, especially in genome-wide gene-environment studies. Future research directions are also discussed.

Indexed as

Epidemiologic Research DesignGene-Environment InteractionConfounding Factors, EpidemiologicEnvironmental ExposureEpidemiologic StudiesEpigenesis, GeneticHumansSelection Bias

Identifiers

PMID23253229
PMCPMC3551668
OpenAlexW2146979553

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.