Katharina Domschke

This study performs a trans-ancestry GWAS of SSRI response in depression, finding suggestive associations and enrichment in serotonergic pathways but no genome-wide significant variants.

This study identifies DNA methylation changes over time during antidepressant treatment in MDD, linking them to neuroplasticity and inflammation, and shows differences between responders and non-responders.

The paper identifies novel CNV loci and dose-dependent gene effects across six psychiatric disorders using genome-wide analysis.

The paper identifies shared and divergent genetic mechanisms across psychiatric disorders using gene-set burden analysis of copy number variants.

This study conducts a genome-wide association analysis of generalised anxiety symptom severity, identifying 80 significant variants and showing genetic correlations with other mental and physical health traits.

The paper examines how childhood adversity affects threat learning in healthy adults, finding reduced discrimination between danger and safety signals but not overgeneralization.

This study examines the association between CYP2C19 and CYP2D6 metabolic phenotypes and antidepressant response using genotype imputation across 13 studies, finding no significant associations after correction for multiple testing.

This study investigates genetic associations between major depression and cardio-metabolic traits, finding shared genetic aetiology regardless of depression onset age.

A meta-analysis of 807,553 people from 23andMe, UK Biobank and PGC finds 102 depression variants. 87 of them replicate in 1,306,354 individuals, and heritability is enriched in prefrontal brain regions.

This study conducts the largest GWAS for PTSD, identifying 6 genome-wide significant loci in European and African ancestries and highlighting novel biological pathways.

This study investigates whether polygenic risk scores (PRS) can predict antidepressant response in MDD, finding no significant predictive effect.