Robert Freedman

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.

Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort

This study identifies correlates of risk for disinhibited behaviors in veterans using polygenic scores and electronic health records, finding strong associations with substance use disorders and related health outcomes.

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.

SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics

SummaryAUC approximates the AUC of polygenic risk scores using only summary statistics from validation datasets, enabling efficient evaluation of PRS models.

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.

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.

PET Brain imaging of α7-nAChR with ASEM: Reproducibility, occupancy, receptor density, and changes in schizophrenia

This study uses PET imaging with [18F]ASEM to assess reproducibility, occupancy, receptor density, and changes in a7-nAChR in schizophrenia patients.