Genome-wide interaction analysis reveals replicated epistatic effects on brain structure.

ABSTRACT: The discovery of several genes that affect the risk for Alzheimer's disease ignited a worldwide search for single-nucleotide polymorphisms (SNPs), common genetic variants that affect the brain. Genome-wide search of all possible SNP-SNP interactions is challenging and rarely attempted because of the complexity of conducting approximately 10(11) pairwise statistical tests. However, recent advances in machine learning, for example, iterative sure independence screening, make it possible to analyze data sets with vastly more predictors than observations. Using an implementation of the sure independence screening algorithm (called EPISIS), we performed a genome-wide interaction analysis testing all possible SNP-SNP interactions affecting regional brain volumes measured on magnetic resonance im

SUBMITTER: Hibar DP 

PROVIDER: S-EPMC4332874 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature