Genetic Associations of Anhedonia: Insights into Overlap of Mental and Somatic Disorders.

Background: Anhedonia is characterized by a reduced ability to anticipate, experience, and/or learn about pleasure. This phenomenon has a transdiagnostic nature and is one of the key symptoms of mood disorders, schizophrenia, addictions, and somatic conditions.

Aim: To evaluate the genetic architecture of anhedonia and its overlap with other mental disorders and somatic conditions.

[Association of depression and anxiety with somatic diseases: negative lifestyle factors impact].

Objective: To assess the associations of various depression and anxiety phenotypes with manifestations of different somatic disorders and negative lifestyle factors.

Material And Methods: The study involved 5116 people. In the online questionnaire, participants provided information about age, sex, height and weight, as well as a history of smoking, alcohol use, physical activity and diagnoses/symptoms of various physical diseases.

[Anhedonia in mood disorders and somatic diseases: results of exploratory Mendelian randomization analysis].

Objective: To conduct an exploratory Mendelian randomization analysis of the causal relationships of anhedonia with a wide range of psychiatric and somatic phenotypes based on the genetic data of participants in a population study.

Material And Methods: This cross-sectional study included 4520 participants, of which 50.4% (=2280) were female.

[Modern approaches to the genetics of depression: scopes and limitations].

Recent findings in candidate genes for depression showed significant replication failures and thus appeared irrelevant. Much of the earlier studies' limitations can be overcome by the strategy of genome-wide association studies (GWAS), which aims to identify associations between different genomic variants and phenotypic traits without pathophysiological hypotheses application. With the use of such studies, it seems possible to calculate polygenic risk scores (PRS) as a promising approach for predicting depression risk.