Research Laboratory of Population Genetics
Research Laboratory of Population Genetics
Head of Laboratory: Mykyta Artomov, PhD
Major tasks
Research areas
The Laboratory focuses on two main areas: identification of congenital risks of polygenic diseases and their characteristics in the Russian population and the development of new computational methods for genomic data.
The major focus of research is to predict the manifestation of metabolic disorders by analyzing genomic data from deeply profiled patient cohorts.
Project description
-
Obtaining standardized genotyping data for a national population cohort to use in biomedical purposes.
-
In-depth analysis of genotype-phenotypic correlations and identification of new potential areas for the prevention of chronic non-communicable diseases of a polygenic nature in order to create personalized prevention programs.
Structure
The Laboratory comprises a clinical unit (headed by Oxana Rotar) and a computational genetics unit.
Specialists
-
Mykyta Artomov, PhD, Head of Laboratory
-
Oxana Rotar, MD, DSc, Leading Researcher
-
Maria Boyarinova, Researcher
-
Anastasia Erina, Researcher
-
Nikita Kolosov, Junior Researcher
-
Ekaterina Moguchaya, Junior Researcher
-
Valeria Rezapova, Junior Researcher
-
Dmitry Usoltsev, Junior Researcher
-
Kristina Tolkunova, Junior Researcher
International projects
МММ17, МММ18, МММ19 — global blood pressure screening campaigns to raise awareness, increase the visibility and enhance treatment of hypertension.
The Stroke in Hypertension Optimal Treatment Trial (ESH-SHOT) aimed at optimizing the secondary prevention of stroke (project participation since 2013).
TRIPLE A study (Advanced Approach to Arterial Stiffness) aimed at assessing the impact of metabolic syndrome and its components on the biomechanical properties of arteries and vascular health in different age categories.
Grants
-
State Contract No. 06/303 dated 18.05.2008 “Metabolic syndrome: epidemiology, risk factors, genetic markers and opportunities for optimizing therapy in working-age people”
-
State Contract No. 16.740.11.0175 dated 02.09.2010 “Molecular genetic determinants associated with metabolic syndrome and its components in the Russian population”
-
State Contract No. K-32- НИР / 111-5 dated 24.10.2011 “Identification of new risk factors, mechanisms leading to complications, ways of prevention and treatment of metabolic syndrome”
-
Presidential grant of the Russian Ministry of Education and Science “Development of personalized approaches to the treatment of arterial hypertension based on molecular, genetic and cytokine markers, neurogenic effects, organ damage and metabolic disorders” (2018-2019)
Major publications
- Artomov M., Rivas M. A., Genovese G., Daly M. J. (2017). “Mosaic Mutations in Blood DNA Sequence are Associated with Solid Tumor Cancers.” npj Genomic Medicine 2(22). (Impact Factor = 5.802)
- Artomov M., Stratigos A. J., Kim I., Njauw C. N., Shannon K., Gragoudas E. S., Lane A. M., Lauss M., Kumar R., Miao B., Jonsson G., Daly M. J., Tsao H. (2017). “Rare variant, gene-based association study of hereditary melanoma using whole exome sequencing.” Journal of the National Cancer Institute 109(12). (Impact Factor = 11.641)
- Yu H., Artomov M., Brahler S., Stander C., Shamsan G., Sampson M. G., White M. J., Kretzler M., Miner J. H., Jain S. Winkler C. A., Mitra R. D., Kopp J. B., Daly M. J., Shaw AS (2016). “A role for genetic susceptibility in sporadic focal segmental glomerulosclerosis”. Journal of Clinical Investigations 126(4): 1603. (Impact Factor = 11.864) * - equal contribution (co-first authorship)
- Gupta S., Artomov M., Goggins W., Daly M. J., Tsao H. (2015). “Gender Disparity and Mutation Burden in Metastatic Melanoma”. Journal of the National Cancer Institute 107(11). (Impact Factor = 11.641)
- Rotar O. P., Boyarinova M. A., Moguchaya E. V., Kolesova E. P., Erina A. M., Solntsev V. N., Konradi A. O., Shlyakhto E. V. Subclinical target organ damage in subjects with different components of metabolic syndrome // Clinical and Experimental Hypertension. - 2017 - Vol.10. - P.1-6.
- Bhatt D. L., Steg P. G., Miller M., Brinton E. A., Jacobson T. A., Ketchum S. B., Doyle R. T. Jr., Juliano R. A., Jiao L., Granowitz C., Tardif J. C., Ballantyne C. M.; REDUCE-IT Investigators. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med. 2019 Jan 3;380(1):11-22.
- Usoltsev D., Sitnikova V., Kajava A., Uspenskaya M. FTIR Spectroscopy Study of the Secondary Structure Changes in Human Serum Albumin and Trypsin under Neutral Salts. Biomolecules 2020, 10, 606. https://doi.org/10.3390/biom10040606
- Usoltsev D., Sitnikova V., Kajava A., Uspenskaya M. Systematic FTIR Spectroscopy Study of the Secondary Structure Changes in Human Serum Albumin under Various Denaturation Conditions. Biomolecules 2019, 9, 359. https://doi.org/10.3390/biom9080359
- Tyler K. Ulland, Wilbur M. Song, Stanley Ching-Cheng Huang, Jason D. Ulrich, Alexey Sergushichev, Wandy L. Beatty, Alexander A. Loboda, Yingyue Zhou, Nigel J. Cairns, Amal Kambal, et al. Trem2 maintains microglial metabolic fitness in alzheimer’s disease. Cell, 170(4):649–663, 2017
- Javlon E. Isomurodov, Alexander A. Loboda and Alexey A. Sergushichev. Ranking vertices for active module recovery problem. In International Conference on Algorithms for Computational Biology, pages 75–84. Springer, 2017.
- Alexey A. Sergushichev, Alexander A. Loboda, Abhishek K. Jha, Emma E. Vincent, Edward M. Driggers, Russell G. Jones, Edward J. Pearce, and Maxim N. Artyomov. Gam: a web-service for integrated transcriptional and metabolic network analysis. Nucleic acids research, 44(W1):W194–W200, 2016.
- Alexander A. Loboda, Maxim N. Artyomov and Alexey A. Sergushichev. Solving generalized maximum-weight connected subgraph problem for network enrichment analysis. In International Workshop on Algorithms in Bioinformatics, pages 210–221. Springer, 2016.
Contacts
Mykyta Artomov, Head of Laboratory
e-mail: artemov_nn@almazovcentre.ru
