Challenges and Strategies for Investigating the Genetic Complexity of Common Human Diseases

Abstract

There is substantial interest in the identification of genes underlying susceptibility to complex human diseases because of the potential utility of such genes in disease prediction or therapy. Type 1 diabetes is an example of one such disorder and is presumed to arise from the effect of multiple genes and environmental factors. One identified locus has a major effect on type 1 diabetes susceptibility (IDDM1), whereas other loci have significant, yet small, individual effects (IDDM2, IDDM15). It is unclear whether susceptibility for type 1 diabetes arises because of the effects of loci acting independently or whether there are important interactions between loci. Although genetic tools are continuing to be developed to enable examination of candidate regions, the means to identify and narrow “true” susceptibility regions continues to be limited by the lack of statistical power resulting from inadequately sized collections of families. This report provides an evaluation of the approaches for identification of regions harboring type 1 diabetes genes, methods to identify the gene regions that interact to define the risk for type 1 diabetes, and efforts to fine-map the variants responsible.