Probability theory-based SNP association study method for identifying susceptibility loci and genetic disease models in human case-control data.

ABSTRACT: One of the most challenging points in studying human common complex diseases is to search for both strong and weak susceptibility single-nucleotide polymorphisms (SNPs) and identify forms of genetic disease models. Currently, a number of methods have been proposed for this purpose. Many of them have not been validated through applications into various genome datasets, so their abilities are not clear in real practice. In this paper, we present a novel SNP association study method based on probability theory, called ProbSNP. The method firstly detects SNPs by evaluating their joint probabilities in combining with disease status and selects those with the lowest joint probabilities as susceptibility ones, and then identifies some forms of genetic disease models through testing multiple-locus

SUBMITTER: Yuan X 

PROVIDER: S-EPMC3029504 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature