An analysis pipeline for genome-wide association studies.

ABSTRACT: We developed an efficient pipeline to analyze genome-wide association study single nucleotide polymorphism scan results. Purl scripts were used to convert genotypes called using the BRLMM algorithm into a modified PB format. We computed summary statistics characteristic of our case and control populations including allele counts, missing values, heterozygosity, measures of compliance with Hardy-Weinberg equilibrium, and several population difference statistics. In addition, we computed association tests, including exact tests of association for genotypes, alleles, the Cochran-Armitage linear trend test, and dominant, recessive, and over dominant models at every single nucleotide polymorphism (SNP). In addition, pairwise linkage disequilibrium statistics were elaborated, using the command l

SUBMITTER: Stefanov S 

PROVIDER: S-EPMC2603547 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature