Literature DB >> 7482355

Detection of genotype-environment interaction in case-control studies of birth defects: how big a sample size?

M J Khoury1, T H Beaty, S J Hwang.   

Abstract

Detecting interactions between risk factors in case-control studies of birth defects and other conditions usually requires increasing the sample size beyond that needed to detect marginal effects. A special case of such interaction is genotype-environment interaction in which the effects of an exposure on disease risk are modified by genetic susceptibility. When case-control studies are designed to detect marginal effects of an exposure (i.e., in the whole population), under many plausible interaction schemes, no additional case and control subjects are needed to detect genotype-environment interaction. On the contrary, inclusion of genotypic information generally can improve the statistical power of the original study. Using the example of oral clefts, maternal cigarette smoking, and genetic variation at the transforming growth factor alpha gene, we illustrate sample size and power issues in designing case-control studies when prior information is available on both the marginal effects of the exposure and the genetic factor.

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Year:  1995        PMID: 7482355     DOI: 10.1002/tera.1420510510

Source DB:  PubMed          Journal:  Teratology        ISSN: 0040-3709


  5 in total

1.  Estimating the contribution of genetic variants to difference in incidence of disease between population groups.

Authors:  Ramal Moonesinghe; John P A Ioannidis; W Dana Flanders; Quanhe Yang; Benedict I Truman; Muin J Khoury
Journal:  Eur J Hum Genet       Date:  2012-02-15       Impact factor: 4.246

2.  Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies--challenges and opportunities.

Authors:  Muin J Khoury; Sholom Wacholder
Journal:  Am J Epidemiol       Date:  2008-11-20       Impact factor: 4.897

3.  Application of a novel hybrid study design to explore gene-environment interactions in orofacial clefts.

Authors:  Oivind Skare; Astanand Jugessur; Rolv Terje Lie; Allen James Wilcox; Jeffrey Clark Murray; Astrid Lunde; Truc Trung Nguyen; Håkon Kristian Gjessing
Journal:  Ann Hum Genet       Date:  2012-05       Impact factor: 1.670

4.  Isoniazid preventive therapy and tuberculosis transcriptional signatures in people with HIV.

Authors:  Ethan D Valinetz; Daniel Matemo; Jill K Gersh; Lara L Joudeh; Simon C Mendelsohn; Thomas J Scriba; Mark Hatherill; John Kinuthia; Anna Wald; Gerard A Cangelosi; Ruanne V Barnabas; Thomas R Hawn; David J Horne
Journal:  AIDS       Date:  2022-05-25       Impact factor: 4.632

5.  On meta- and mega-analyses for gene-environment interactions.

Authors:  Jing Huang; Yulun Liu; Steve Vitale; Trevor M Penning; Alexander S Whitehead; Ian A Blair; Anil Vachani; Margie L Clapper; Joshua E Muscat; Philip Lazarus; Paul Scheet; Jason H Moore; Yong Chen
Journal:  Genet Epidemiol       Date:  2017-11-07       Impact factor: 2.135

  5 in total

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