Rivelazione degli aspetti genetici per diverse combinazioni di disturbi psichiatrici.

BACKGROUND: Psychiatric disorders are highly heterogeneous. It is clinically valuable to distinguish psychiatric disorders by the presence or absence of a specific comorbid condition. METHODS: We employed a novel algorithm (CombGWAS) to decipher the genetic basis of psychiatric disorder combinations using genome-wide association studies summary statistics. We focused on comorbidities and combinations of diseases, such as schizophrenia (SCZ) with and without depression, which can be considered as two 'subtypes' of SCZ. We also studied psychiatric disorders comorbid with obesity as disease subtypes. RESULTS: We compared the genetic architectures of psychiatric disorders with and without spec