Alessandro Serretti

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.

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

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.

The paper investigates genetic overlaps between neuropsychiatric disorders and insulin-related diseases, finding significant genetic correlations and suggesting potential clusters of disorders with divergent pleiotropic effects.

The paper develops a polygenic predictor for treatment-resistant depression using whole exome sequencing and genome-wide genotyping, finding that genetic scores combined with clinical factors improve prediction.

This study identifies genetic variants associated with sociability as a continuous trait and finds genetic correlations with schizophrenia, major depressive disorder, and autism spectrum disorders.