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Korchagin V, Mironov K, Platonov A, Dribnokhodova O, Akselrod E, Dunaeva E, Stolyar M, Gorbenko A, Gritsan G, Olkhovskiy I, Rakova N, Roytman A, Sotnikov A, Raskurazhev A, Maksimova M, Tanashyan M, Illarioshkin S, Shipulin G. Application of the genetic risk model for the analysis of predisposition to nonlacunar ischemic stroke. Per Med 2019; 16:369-378. [PMID: 31552798 DOI: 10.2217/pme-2018-0104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Aim: The purpose of our study was to analyze the predictive ability of the multiplicative model of genetic risk of nonlacunar ischemic stroke (IS) for independent samples from Russia. Patients & methods: A total of 181 patients and 360 healthy controls were included in this study. The discriminative accuracy of model was evaluated by the area under the receiver operating characteristic curve (AUC). Results: Classification model based on 15 single-nucleotide polymorphisms (SNPs), which are associated with a cardioembolic subtype of IS, had an AUC of 0.62 in patients with corresponding subtypes and an AUC of 0.58 for all patients. Conclusion: Risk calculation approach based on IS-associated SNPs had satisfactory performance in predicting the predisposition to the disease.
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Affiliation(s)
| | | | | | | | - Elina Akselrod
- Central Research Institute of Epidemiology, Moscow, Russia
| | - Elena Dunaeva
- Central Research Institute of Epidemiology, Moscow, Russia
| | - Marina Stolyar
- Department of Health, Krasnoyarsk Branch of the Federal State budgetary Institution 'Hematology Research Center,' Krasnoyarsk, Russia.,Federal Research Center 'Krasnoyarsk Scientific Center' of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Aleksey Gorbenko
- Department of Health, Krasnoyarsk Branch of the Federal State budgetary Institution 'Hematology Research Center,' Krasnoyarsk, Russia.,Federal Research Center 'Krasnoyarsk Scientific Center' of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Galina Gritsan
- Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Igor Olkhovskiy
- Department of Health, Krasnoyarsk Branch of the Federal State budgetary Institution 'Hematology Research Center,' Krasnoyarsk, Russia.,Federal Research Center 'Krasnoyarsk Scientific Center' of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Natalia Rakova
- Moscow City Clinical Hospital named after S.P. Botkin, Moscow, Russia
| | - Alexander Roytman
- Moscow City Clinical Hospital named after S.P. Botkin, Moscow, Russia
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Dribnokhodova OP, Korchagin VI, Mironov KO, Dunaeva EA, Titkov AV, Akselrod EV, Raskurazhev AA, Tanashyan MM, Illarioshkin SN, Platonov AE, Shipulin GA. [A comparative analysis of allele frequencies of rs1801133 and rs1801131 of MTHFR in patients with stroke and healthy people from the Moscow region]. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:18-23. [PMID: 31184621 DOI: 10.17116/jnevro201911903218] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIM To study genetic characteristics of the population of the Moscow region and analyze the association of rs1801133 and rs1801131 of MTHFR with the risk of ischemic stroke (IS). MATERIAL AND METHODS A sample of 170 and 115 patients with atherothrombotic and cardioembolic subtypes of IS and 360 residents of the Moscow region without IS were examined. MTHFR alleles were determined by a multiplex real-time polymerase chain reaction. RESULTS AND CONCLUSION No association between the frequencies of MTHFR alleles and the risk of ischemic stroke was found. The comparison of allele frequencies with those in Caucasian populations published in the dbSNP (NCBI) and 1000 Genomes Project databases revealed significant differences for rs1801133 from the EUR 1000 Genomes Project. The allele frequency data for MTHFR could increase the accuracy and reliability of the individual risk calculation for multifactorial diseases in the Russian population.
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Affiliation(s)
| | - V I Korchagin
- Central Research Institute of Epidemiology, Moscow, Russia
| | - K O Mironov
- Central Research Institute of Epidemiology, Moscow, Russia
| | - E A Dunaeva
- Central Research Institute of Epidemiology, Moscow, Russia
| | - A V Titkov
- Central Research Institute of Epidemiology, Moscow, Russia
| | - E V Akselrod
- Central Research Institute of Epidemiology, Moscow, Russia
| | | | | | | | - A E Platonov
- Central Research Institute of Epidemiology, Moscow, Russia
| | - G A Shipulin
- Central Research Institute of Epidemiology, Moscow, Russia
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