New strategies for identifying gene-gene interactions in hypertension

被引:317
作者
Moore, JH
Williams, SM
机构
[1] Vanderbilt Univ, Sch Med, Dept Physiol & Mol Biophys, Program Human Genet, Nashville, TN 37232 USA
[2] Meharry Med Coll, Dept Microbiol, Nashville, TN 37208 USA
关键词
data reduction; epistasis; essential hypertension; gene-gene interaction; Hardy-Weinberg disequilibrium; linkage disequilibrium; logistic regression; multifactor dimensionality reduction; pattern recognition;
D O I
10.1080/07853890252953473
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Essential hypertension is a common disease that has a complex multifactorial etiology. For this reason, it is not surprising that studies of the effects of single genes on hypertension have often failed to replicate the original findings. We propose, as a working hypothesis, that the failure to replicate some single locus results is because the impact of single alleles on the risk of hypertension is dependent on genetic variations at other loci (i.e. gene-gene interactions) and on environmental factors (i.e. gene-environment interactions). Thus, studies that do not consider the appropriate genetic and/or environmental contexts may not identify important susceptibility loci. The identification and characterization of such gene-gene and gene-environment interactions have been limited by a lack of powerful statistical methods and/or a lack of large enough sample sizes. Here, we review the general problem of identifying gene-gene interactions and describe several traditional and several newer methods that are being used to assess complex genetic interactions in essential hypertension.
引用
收藏
页码:88 / 95
页数:8
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