Nikolay V. Kondratyev

The paper integrates exome and transcriptome data from a schizophrenia case with low polygenic risk to identify potential variants and transcriptomic abnormalities, revealing biological alterations linked to cerebrovascular disease.

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

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

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

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