Elizabeth Bevilacqua

Distinct genetic liability profiles define clinically relevant patient strata across common diseases

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

Schizophrenia-associated somatic copy number variants from 12,834 cases reveal contribution to risk and recurrent, isoform-specific NRXN1 disruptions

This study identifies somatic copy number variants (sCNVs) in schizophrenia cases, revealing their contribution to risk and specific NRXN1 disruptions.

Using brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

Age at first birth in women is genetically associated with increased risk of schizophrenia

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes

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

Estimation of genetic correlation using linkage disequilibrium score regression and genomic restricted maximum likelihood

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

This study identifies eight genome-wide significant CNV loci associated with schizophrenia using a large cohort of 41,321 subjects.