Testing for Gene–Gene Interaction Controlling Total IgE in Families from Barbados: Evidence of Sensitivity Regarding Linkage Heterogeneity among Families

Barnes, Kathleen C.; Mathias, Rasika A.; Nickel, Renate; Freidhoff, Linda R.; Stockton, M.; Xue, Xielun; Naidu, Raana P.; Levett, Paul N.; Casolaro, Vincenzo; Beaty, Terri H.

doi:10.1006/geno.2000.6430

Cited by 12 publications

(10 citation statements)

References 26 publications

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“…The phenotype must be considered with gene-gene interaction and with geneenvironment interaction in a complex inherited disease [83] such as AD. Polymorphisms appeared both on the cytokine genes and the receptor may have complexity influence to each other [83], which may explain partially the lack of association in such kind of studies [84]. Another important influence in AD is the environment factors.…”

Section: Candidate Gene Approachmentioning

confidence: 99%

The Genetics of Atopic Dermatitis

Chien

Hwu

Chiang

2007

Clinic Rev Allerg Immunol

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Section: Candidate Gene Approachmentioning

confidence: 99%

The Genetics of Atopic Dermatitis

Chien

Hwu

Chiang

2007

Clinic Rev Allerg Immunol

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“…Under this broader definition, epistasis is defined as a situation in which differential phenotypic expressions of a genotype at one locus depend on the genotype at another locus. Many studies have already demonstrated both the scientific and the public health importance of gene-gene interaction (2)(3)(4)(5).…”

mentioning

confidence: 99%

Sample Size Needed to Detect Gene-Gene Interactions using Association Designs

Wang

Zhao

2003

American Journal of Epidemiology

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It is likely that many complex diseases result from interactions among several genes, as well as environmental factors. The presence of such interactions poses challenges to investigators in identifying susceptibility genes, understanding biologic pathways, and predicting and controlling disease risks. Recently, Gauderman (Am J Epidemiol 2002;155:478-84) reported results from the first systematic analysis of the statistical power needed to detect gene-gene interactions in association studies. However, Gauderman used different statistical models to model disease risks for different study designs, and he assumed a very low disease prevalence to make different models more comparable. In this article, assuming a logistic model for disease risk for different study designs, the authors investigate the power of population-based and family-based association designs to detect gene-gene interactions for common diseases. The results indicate that population-based designs are more powerful than family-based designs for detecting gene-gene interactions when disease prevalence in the study population is moderate.

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“…IL-13) as well as their receptors (IL-4Ra) and/or genes involved in signal transduction (STAT6) bear polymorphisms associated with disease. Recently, the first studies have demonstrated the feasibility and importance of gene-gene interaction in atopy [41].…”

Section: Discussionmentioning

confidence: 99%