Ontology highlight
ABSTRACT:
SUBMITTER: Stanhope SA
PROVIDER: S-EPMC3356846 | biostudies-other | 2012 Jun
REPOSITORIES: biostudies-other
Stanhope Stephen A SA Abney Mark M
Bioinformatics (Oxford, England) 20120419 11
<h4>Summary</h4>Mixed model-based approaches to genome-wide association studies (GWAS) of binary traits in related individuals can account for non-genetic risk factors in an integrated manner. However, they are technically challenging. GLOGS (Genome-wide LOGistic mixed model/Score test) addresses such challenges with efficient statistical procedures and a parallel implementation. GLOGS has high power relative to alternative approaches as risk covariate effects increase, and can complete a GWAS i ...[more]