Ontology highlight
ABSTRACT: Background
Major depression is one of the most disabling health conditions internationally. In recent years, new generation antidepressant medicines have become very widely prescribed. While these medicines are efficacious, side effects are common and frequently result in discontinuation of treatment. Compared with specific pharmacological properties of the different medications, the relevance of individual vulnerability is understudied.Methods
We used data from the Australian Genetics of Depression Study to gain insights into the aetiology and genetic risk factors to antidepressant side effects. To this end, we employed structural equation modelling, polygenic risk scoring and regressions.Results
Here we show that participants reporting a specific side effect for o
SUBMITTER: Campos AI
PROVIDER: S-EPMC9053224 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature