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Korchagin V.I.
Central Research Institute of Epidemiology, Moscow, Russia
Mironov K.O.
FBUN «Tsentral'nyj NII epidemiologii» Rospotrebnadzora, Moskva
Platonov A.E.
Central Research Institute of Epidemiology, Moscow, Russia
Dribnokhodova O.P.
Central Research Institute of Epidemiology, Moscow, Russia
Akselrod E.V.
Central Research Institute of Epidemiology, Moscow, Russia
Dunaeva E.A.
FBUN «Tsentral'nyj NII epidemiologii» Rospotrebnadzora, Moskva
Raskurazhev A.A.
Neurology Research Center, Moscow, Russia
Tanashyan M.M.
Neurology Research Center, Moscow, Russia
Maksimova M.Yu.
Federal State budgetary scientific Institution «Research Centre of Neurology», Moscow
Illarioshkin S.N.
Nauchnyĭ tsentr nevrologii RAMN
Shipulin G.A.
Federal State Budgetary Institution of Science Central Research Institute of Epidemiology, Russian Federal Consumer Rights Protection and Human Health Control Service, Moscow
Complex assessment of the contribution of genetic factors to the risk of ischemic stroke
Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2017;117(12‑2): 11‑18
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To cite this article:
Korchagin VI, Mironov KO, Platonov AE, et al. . Complex assessment of the contribution of genetic factors to the risk of ischemic stroke. S.S. Korsakov Journal of Neurology and Psychiatry.
2017;117(12‑2):11‑18. (In Russ.)
https://doi.org/10.17116/jnevro201711712211-18
Objective. To develop a method of the complex assessment of genetic risk for ischemic stroke (IS) and evaluate its effectiveness. Material and methods. Genotyping of 182 patients with atherothrombotic and cardioembolic subtypes of IS and 360 healthy individuals of 48 single nucleotide polymorphic loci (SNP) associated with the risk of II and its subtypes was performed. Results and conclusion. In each group of SNPs, composite indicators of genetic risk of IS in groups of patients and healthy controls were identified. Differences between the calculated values of the genetic risk in these groups were significant (p <0,05). The quality of the binary classification validated by ROC-analysis confirmed the predictive potential of the proposed method of risk calculation for determining the genetic predisposition to the development of IS.
Authors:
Korchagin V.I.
Central Research Institute of Epidemiology, Moscow, Russia
Mironov K.O.
FBUN «Tsentral'nyj NII epidemiologii» Rospotrebnadzora, Moskva
Platonov A.E.
Central Research Institute of Epidemiology, Moscow, Russia
Dribnokhodova O.P.
Central Research Institute of Epidemiology, Moscow, Russia
Akselrod E.V.
Central Research Institute of Epidemiology, Moscow, Russia
Dunaeva E.A.
FBUN «Tsentral'nyj NII epidemiologii» Rospotrebnadzora, Moskva
Raskurazhev A.A.
Neurology Research Center, Moscow, Russia
Tanashyan M.M.
Neurology Research Center, Moscow, Russia
Maksimova M.Yu.
Federal State budgetary scientific Institution «Research Centre of Neurology», Moscow
Illarioshkin S.N.
Nauchnyĭ tsentr nevrologii RAMN
Shipulin G.A.
Federal State Budgetary Institution of Science Central Research Institute of Epidemiology, Russian Federal Consumer Rights Protection and Human Health Control Service, Moscow
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