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Design and analysis issues in gene and environment studies

Overview of attention for article published in Environmental Health, December 2012
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Title
Design and analysis issues in gene and environment studies
Published in
Environmental Health, December 2012
DOI 10.1186/1476-069x-11-93
Pubmed ID
Authors

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

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
India 1 1%
United States 1 1%
Korea, Republic of 1 1%
Unknown 86 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 12 13%
Student > Master 12 13%
Professor > Associate Professor 9 10%
Student > Doctoral Student 8 9%
Other 13 14%
Unknown 18 20%
Readers by discipline Count As %
Medicine and Dentistry 22 24%
Agricultural and Biological Sciences 14 16%
Biochemistry, Genetics and Molecular Biology 5 6%
Psychology 4 4%
Mathematics 3 3%
Other 16 18%
Unknown 26 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Environmental Health
#1,250
of 1,481 outputs
Outputs of similar age
#217,665
of 280,127 outputs
Outputs of similar age from Environmental Health
#23
of 23 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.