A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations.

ABSTRACT: Genome-wide association studies (GWAS) offer an excellent opportunity to identify the genetic variants underlying complex human diseases. Successful utilization of this approach requires a large sample size to identify single nucleotide polymorphisms (SNPs) with subtle effects. Meta-analysis is a cost-efficient means to achieve large sample size by combining data from multiple independent GWAS; however, results from studies performed on different populations can be variable due to various reasons, including varied linkage equilibrium structures as well as gene-gene and gene-environment interactions. Nevertheless, one should expect effects of the SNP are more similar between similar populations than those between populations with quite different genetic and environmental backgrounds. Prior

SUBMITTER: Wang T 

PROVIDER: S-EPMC4049273 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature