Divya Mehta

This study identifies shared and distinct genetic factors underlying suicidality phenotypes using GWAS and structural equation modelling.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

This paper conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.

This study finds that veterans with PTSD show no difference in DNA methylation age acceleration compared to non-PTSD veterans, but higher resilience scores are associated with increased DNAm age acceleration.

This study identifies shared and sex-specific inflammatory pathways in PTSD through a meta-analysis of blood transcriptomes across different trauma types and biological sexes.