Genome-wide association studies have shown unequivocally that common complex
disorders have a polygenic genetic architecture and have enabled researchers to identify …

Since the first polygenic risk score (PRS) in 2007, research in this area has progressed
significantly. The increasing number of SNPs that have been identified by large scale GWAS …

For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

Gastrointestinal side effects (SEs) are frequently observed in patients with major depressive
disorder (MDD) while taking antidepressants and may lead to treatment discontinuation. The …

Highlights•The combination of data-driven machine learning and theory-driven
computational models holds great promise for psychiatry.•Machine-learning analyses of …

Genome-wide association studies have identified hundreds of robust genetic associations
underlying psychiatric disorders and provided important biological insights into disease …

Genomewide association studies (GWASs) across psychiatric phenotypes have shown that
common genetic variants generally confer risk with small effect sizes (odds ratio< 1.1) that …

Adverse drug reactions (ADRs) rank as one of the top 10 leading causes of death and
illness in developed countries. ADRs show differential features depending upon genotype …

Background Identifying the phenotypic manifestations of increased genetic liability for
depression (MDD) and bipolar disorder (BD) can enhance understanding of their aetiology …

Highlights•Machine learning offers new scope for identifying novel and robust predictors of
psychiatric treatment response.•Validation of putative biomarkers in unseen data is essential …