Klaus Oliver Schubert

This paper develops a multi-trait polygenic score (mt-PGS) to predict lithium responsiveness in bipolar disorder, finding it improves prediction accuracy compared to single-trait methods.

This paper reviews pharmacogenomic scores in psychiatry, finding most are based on diagnoses/trait variants, with PGSSCZ showing mixed effects on treatment outcomes.

This paper develops a transcriptome-based polygenic risk score (T-PRS) linking depression-related cortical gene expression changes to brain morphology and symptom severity in MDD.

The paper shows that polygenic scores for depression traits predict lithium response in bipolar disorder patients, with lower genetic load linked to better treatment outcomes.

This study finds that a higher genetic risk for schizophrenia is linked to poorer lithium response in bipolar disorder patients, suggesting potential for personalized treatment strategies.

This paper reviews genetic overlaps between mood disorders and cardio-metabolic diseases, identifying 24 shared genes and pathways involved in both conditions.