Arianna Di Florio

This study identifies genetic variants differentially associated with schizophrenia and bipolar disorder using CC-GWAS, finding 19 loci with divergent effects and biological themes related to neuronal function.

This paper conducts a GWAS of distressing premenstrual symptoms (DPS) in two Nordic populations, identifying a SNP associated with DPS and genetic correlations to psychiatric disorders.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

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.

The paper examines the developmental expression of genes related to voltage-gated cation channels and their association with psychiatric disorders, finding that gene expression patterns vary with age and disorder type.

The paper reports exome sequencing findings in bipolar disorder, identifying AKAP11 as a shared risk gene with schizophrenia through ultra-rare protein-truncating variants.

The paper examines the genetic association of FMRP targets with schizophrenia, major depressive disorder, and bipolar disorder, finding enrichment for risk alleles and variants in these disorders.

This study finds that genetic risk scores for insomnia and sleep duration differ between bipolar I and II subtypes, suggesting distinct genetic liabilities.

This study identifies 114 genome-wide significant loci for schizophrenia and bipolar disorder, with specific subphenotype associations and four genes distinguishing the disorders.

The paper examines the dynamic expression of risk genes for schizophrenia and bipolar disorder across developmental stages in brain regions, finding distinct expression patterns between the two disorders.

The paper investigates the relationship between polygenic risk scores for schizophrenia and psychotic features in bipolar disorder, finding a gradient of genetic liability based on the level of mood-incongruent symptoms.