Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence.

ABSTRACT: Neuroimaging and genetic studies provide distinct and complementary information about the structural and biological aspects of a disease. Integrating the two sources of data facilitates the investigation of the links between genetic variability and brain mechanisms among different individuals for various medical disorders. This article presents a general statistical framework for integrative Bayesian analysis of neuroimaging-genetic (iBANG) data, which is motivated by a neuroimaging-genetic study in cocaine dependence. Statistical inference necessitated the integration of spatially dependent voxel-level measurements with various patient-level genetic and demographic characteristics under an appropriate probability model to account for the multiple inherent sources of variation. Our framewo

SUBMITTER: Azadeh S 

PROVIDER: S-EPMC5042574 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature