Вера Евгеньевна Голимбет

This study identifies accelerated aging patterns in 3D genome organization and transcriptome in schizophrenia using Hi-C data and transcriptomic analysis.

The paper maps 3D genome architecture in neuronal and non-neuronal cells, finding reduced compartmentalization and increased long-range polycomb interactions in neurons.

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.

The paper analyzes rare and common alleles in schizophrenia trios, identifying rare missense variants in SLC6A1 and confirming the role of neurodevelopmental disorder genes.

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