Novel association strategy with copy number variation for identifying new risk Loci of human diseases.

ABSTRACT:

Background

Copy number variations (CNV) are important causal genetic variations for human disease; however, the lack of a statistical model has impeded the systematic testing of CNVs associated with disease in large-scale cohort.

Methodology/principal findings

Here, we developed a novel integrated strategy to test CNV-association in genome-wide case-control studies. We converted the single-nucleotide polymorphism (SNP) signal to copy number states using a well-trained hidden Markov model. We mapped the susceptible CNV-loci through SNP site-specific testing to cope with the physiological complexity of CNVs. We also ensured the credibility of the associated CNVs through further window-based CNV-pattern clustering. Genome-wide data with seven diseases were used to test our stra

SUBMITTER: Chen X 

PROVIDER: S-EPMC2924882 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature