Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition.

ABSTRACT: Psychiatric illnesses are complex and polygenic. They are associated with widespread alterations in the brain, which are partly influenced by genetic factors. There have been some attempts to relate polygenic risk scores (PRS) - a measure of the overall genetic risk an individual carries for a disorder - to brain structure using univariate methods. However, PRS are likely associated with distributed and covarying effects across the brain. We therefore used multivariate machine learning in this proof-of-principle study to investigate associations between brain structure and PRS for four psychiatric disorders; attention deficit-hyperactivity disorder (ADHD), autism, bipolar disorder and schizophrenia. The sample included 213 individuals comprising patients with depression (69), bipolar disor

SUBMITTER: Ranlund S 

PROVIDER: S-EPMC6197704 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature