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Gennady Khvorykh

Hello! I’m Gennady Khvorykh, a bioinformatician from National Research Centre «Kurchatov Institute» (Moscow, Russia).

Medical and population genetics are within the scope of my interests. I search for the genetic variants that contribute to ischemic stroke, using Genome-Wide Association Studies (GWAS) and machine learning (ML) approaches. Besides, I search for the genetic signals of natural selection, applying statistical methods to the genotypes of human populations.

A strong believer in modeling, the written word, and positive mood!


Full articles

  1. Khvorykh, G.V.; Sapozhnikov, N.A.; Limborska, S.A.; Khrunin, A.V. Evaluation of Density-Based Spatial Clustering for Identifying Genomic Loci Associated with Ischemic Stroke in Genome-Wide Data. Int. J. Mol. Sci. 2023, 24, 15355. [pdf]
  2. Khrunin, A.V.; Khvorykh, G.V.; Arapova, A.S.; Kulinskaya, A.E.; Koltsova, E.A.; Petrova, E.A.; Kimelfeld, E.I.; Limborska, S.A. The Study of the Association of Polymorphisms in LSP1, GPNMB, PDPN, TAGLN, TSPO, and TUBB6 Genes with the Risk and Outcome of Ischemic Stroke in the Russian Population. Int. J. Mol. Sci. 2023, 24, 6831. [pdf]
  3. Koltsova EA, Petrova EA, Khrunin AV, Khvorykh GV, Limborska SA. A study of genetic variants in patients with ischemic stroke in human rat gene orthologues. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2023;123(3‑2):33‑40. (In Russian)
  4. Fedorova, L.; Khrunin, A.; Khvorykh, G.; Lim, J.; Thornton, N.; Mulyar, O.A.; Limborska, S.; Fedorov, A. Analysis of Common SNPs across Continents Reveals Major Genomic Differences between Human Populations. Genes 2022, 13, 1472. [pdf]
  5. Khrunin, A.V.; Khvorykh, G.V.; Rozhkova, A.V.; Koltsova, E.A.; Petrova, E.A.; Kimelfeld, E.I.; Limborska, S.A. Examination of Genetic Variants Revealed from a Rat Model of Brain Ischemia in Patients with Ischemic Stroke: A Pilot Study. Genes 2021, 12, 1938. [pdf]
  6. Khvorykh, G., Khrunin, A., Filippenkov, I., Stavchansky, V., Dergunova, L., Limborska, S. A Workflow for Selection of Single Nucleotide Polymorphic Markers for Studying of Genetics of Ischemic Stroke Outcomes. Genes 2021, 12, 328. [pdf]
  7. Khrunin A.V., Khvorykh G.V., Gnatko E.D., Filippenkov I.B., Stavchansky V.V., Dergunova L.V., Limborska S.A. Study of polymorphism of human genes, orthologues of which are functionally involved in the response to experimental brain ischemia in model systems. Medical Genetics. 2020;19(5):83-85. (In Russian) [Abstract in English]
  8. Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin, Stefan Nikolic, Makhmud Shaban, Evgeniya A. Koltsova, Elizaveta A. Petrova and Fouzi Takelait, and Dmitrii Egurnov (2021) Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Data. In: van der Aalst W. et al. (eds) Analysis of Images, Social Networks and Texts. AIST 2020. Communications in Computer and Information Science, vol 1357. Springer, Cham. pp. 185-204. [view preprint]
  9. Khvorykh, G.V., Mulyar, O.A., Fedorova, L., Khrunin, A.V., Limborska, S.A., Fedorov, A., Global picture of genetic relatedness and the evolution of humankind, Biology, 2020, 9, 392. [pdf]
  10. Khvorykh, G.V., Khrunin, A.V. imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters. BMC Bioinformatics 21, 2020, 304. [pdf]
  11. Belova, V., Plakhina, D., Evfratov, S., Tsukanov, K., Khvorykh, G., Rakitko, A., Konoplyannikov, A., Ilinsky, V., Rebrikov, D., Korostin, D. NIPT Technique Based on the Use of Long Chimeric DNA Reads. Genes 2020, 11, 590. [pdf]
  12. Khrunin A.V., Khvorykh G.V., Fedorov A.N., Limborska S.A. Genomic landscape of the signals of positive natural selection in populations of Northern Eurasia: A view from Northern Russia. PLoS ONE, 2020, 15(2): e0228778. [pdf]
  13. Khrunin, A.V. and Khvorykh, G.V. Complex genetic history of Northeastern European and Western Siberian populations. Istoricheskaya Demographiya (Historical Demography), 2017, No 2 (20) (in Russian) [pdf].


  1. G.V.Khvorykh, A.V.Khrunin, I.B.Filippenkov, L.V.Dergunova, S.A.Limborska, The comparison of searching strategies for genes related to ischemic stroke: case-control human and model animal studies, Abstracts and articles of the Second Congress of the International Society of Clinical Physiology and Pathology (ISCPP 2024), Moscow, Russia, May 13-15, 2024 (oral presentation).
  2. N.A Sapozhnikov, G.V. Khvorykh and A.V. Khrunin, Validation of random forest algorithm for the search of SNPs associated with multifactorial diseases, Abstracts and articles of the Second Congress of the International Society of Clinical Physiology and Pathology (ISCPP 2024), Moscow, Russia, May 13-15, 2024 (oral presentation).
  3. Khvorykh G.V., Sapozhnikov N.S., Limborska S.A., Khrunin A.V., A new approach to identify genomic loci of multifactorial diseases. Kurchatov’s Genomics Forum, Moscow, Russia, October 17-20, 2023. (poster) (In Russian)
  4. Sapozhnikov N.S., Khvorykh G.V., Khrunin A.V., Identification of new risk loci for ischemic stroke in genome-wide data with clustering methods. European Human Genetics Conference, Glasgow, Scotland, UK, JUNE 10–13, 2023. (poster) [pdf]
  5. Khvorykh, G., Rogacheva, M., Sharypov, R., Khrunin, A., Dyakonov, A., Limborska, S., Fedorov, A., The search for genetic risk factors of ischemic stroke with the genome-wide association study and machine learning methods, Selected abstracts of “Bioinformatics: from Algorithms to Applications 2020” conference. BMC Bioinformatics 21, 567 (2020). [pdf] [website]
  6. Khvorykh, G., Vu, G., Khrunin, A., Genomic Signals of Adaptation in the Northern Ural and Western Siberian Populations, Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB-2020), The Twelfth International Multiconference, 06-10, July, 2020, Novosibirsk, Russia, p. 377, DOI 10.18699/BGRS/SB-2020-239. [pdf]
  7. Khrunin, A.V., Khvorykh, G.V., Limborska, S.A., The Regions of Extended Haplotype Homozygosity in the Chromosomes of Populations from European Part of Russia and Ural, Chromosome 2018: International Conference. August 20-20, 2018. Novosibirsk, Russia : Abstracts / Institute of Molecular and Cellular Biology SB RAS; Novosibirsk State University. - Novosibirsk, 2018. p. 192 (in Russian) [pdf]