Author
Institute of Cytology and GeneticsORCID 0000-0002-4318-4458Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
G. R. Svishcheva, Yakov A. Tsepilov, Tatiana I. Axenovich
FastHer provides a fast and accurate method for estimating local heritability from GWAS summary statistics, achieving GREML-level accuracy with significantly reduced computational time.
bioRxiv · Dec 26, 2025 · PreprintBioinformatics
Elizaveta E. Elgaeva, Irina V. Zorkoltseva, Arina V. Nostaeva, Dmitrii A. Verzun, Evgeny Tiys, Anna N. Timoshchuk, A. V. Kirichenko, G. R. Svishcheva, Maxim B. Freidin, Frances M. K. Williams, Pradeep Suri, Yurii S. Aulchenko, Tatiana I. Axenovich, Yakov A. Tsepilov
This paper decomposes the genetic background of chronic back pain into shared and unshared components, identifying genes associated with different subphenotypes and biological pathways.
Human Molecular Genetics · Dec 16, 2024Peer-reviewedGenetic & Genomic Medicine
G. R. Svishcheva, Evgeny Tiys, Elizaveta E. Elgaeva, Sofya G. Feoktistova, Paul R. H. J. Timmers, Sodbo Sharapov, Tatiana I. Axenovich, Yakov A. Tsepilov
SHAHER is a framework that identifies shared genetic factors across correlated traits using GWAS summary statistics, showing improved performance in simulations and real datasets.
Genes · Sep 21, 2022Peer-reviewedBioinformatics
Nadezhda M. Belonogova, G. R. Svishcheva, Anatoly V. Kirichenko, Irina V. Zorkoltseva, Yakov A. Tsepilov, Tatiana I. Axenovich
sumSTAAR is a framework for gene-based association analysis using GWAS summary statistics, offering flexible method combinations and improved computational efficiency.
PLoS Computational Biology · Jun 2, 2022Peer-reviewedGenetics
Nadezhda M. Belonogova, Irina V. Zorkoltseva, Yakov A. Tsepilov, Tatiana I. Axenovich
The paper identifies 190 genes associated with neuroticism through gene-based GWAS analysis, with 38 novel genes and evidence of pleiotropy and pathogenic variants.
Scientific Reports · Jan 28, 2021Peer-reviewedGenetics