Ontology highlight
ABSTRACT:
SUBMITTER: Ganjgahi H
PROVIDER: S-EPMC6092439 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
Ganjgahi Habib H Winkler Anderson M AM Glahn David C DC Blangero John J Donohue Brian B Kochunov Peter P Nichols Thomas E TE
Nature communications 20180814 1
Genome wide association (GWA) analysis of brain imaging phenotypes can advance our understanding of the genetic basis of normal and disorder-related variation in the brain. GWA approaches typically use linear mixed effect models to account for non-independence amongst subjects due to factors, such as family relatedness and population structure. The use of these models with high-dimensional imaging phenotypes presents enormous challenges in terms of computational intensity and the need to account ...[more]