Assessment of risk profiles for alcohol binging and alcohol addiction


The prevention and early intervention of alcohol binging and alcohol use disorders are major unmet challenges affecting our health care system. Our aim is to assess individual risk on the basis of neurobehavioral phenotypes that are genetically modified. 

Data analysis and statistics


Hence, information from the genetic pipeline (SP2, 3, 9), together with the multimodal data blocks of the IMAGEN study (SP4), will be fed forward into SP6, which will provide the convergent data analysis and statistics for the identification of neurobehaviorally-relevant variables. This analysis will involve three stages: (i) Multivariate methods will be used to select functional regions of interest from the neuroimaging data that are predictive for binge drinking. These regions will then be correlated to behavioral data and neuropsychological scores, yielding multimodal neurobehavioral components. Neurobehavioral risk profiles for binge drinking will be obtained by applying advanced methods for statistical inference. (ii) We will test for genetic associations of these neurobehavioral risk profiles, employing multivariate association tests based on machine learning techniques. The set of candidate genetic variables for these tests will be selected based on the results of the “genetic pipeline”. (iii) Finally, predictors will be constructed that integrate all relevant neuroimaging, behavioral, neuropsychological and genetic information. 

SP1 SP2 SP3 SP4 SP9 SP6 SP10