Rita M. Cantor

This study examines common and rare variant genetic contributions to autism in African Americans, highlighting differences in genetic effects and polygenic score transferability between European and African ancestries.

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

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.

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

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.

This study examines genetic risk for bipolar disorder in extended families, finding that both common and rare variants contribute to susceptibility, with no significant segregation of large-effect variants.

The paper analyzes whole blood transcriptomes in bipolar disorder patients and finds that lithium treatment, not the disorder itself, drives most gene expression changes.

The paper analyzes genomic diversity in Latin American population isolates, finding increased genetic diversity and consanguinity compared to the Finnish isolate.

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.

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

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

The paper generates a transcriptome resource and eQTL catalogue in vervet monkeys, revealing sex and age-related expression patterns and key regulatory loci.