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Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population

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dc.contributor.author Zholdybayeva, Elena V.
dc.contributor.author Talzhanov, Yerkebulan A.
dc.contributor.author Aitkulova, Akbota M.
dc.contributor.author Tarlykov, Pavel V.
dc.contributor.author Kulmambetova, Gulmira N.
dc.contributor.author Iskakova, Aisha N.
dc.contributor.author Dzholdasbekova, Aliya U.
dc.contributor.author Visternichan, Olga A.
dc.contributor.author Taizhanova, Dana Zh.
dc.contributor.author Ramanculov, Yerlan M.
dc.date.accessioned 2017-11-16T09:20:03Z
dc.date.available 2017-11-16T09:20:03Z
dc.date.issued 2016
dc.identifier.citation Zholdybayeva Elena V. et al.(>9), 2016, Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population, Human Genomics ru_RU
dc.identifier.uri DOI 10.1186/s40246-016-0077-z
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/2825
dc.description.abstract Background: After coronary stenting, the risk of developing restenosis is from 20 to 35 %. The aim of the present study is to investigate the association of genetic variation in candidate genes in patients diagnosed with restenosis in the Kazakh population. Methods: Four hundred fifty-nine patients were recruited to the study; 91 patients were also diagnosed with diabetes and were excluded from the sampling. DNA was extracted with the salting-out method. The patients were genotyped for 53 single-nucleotide polymorphisms. Genotyping was performed on the QuantStudio 12K Flex (Life Technologies). Differences in distribution of BMI score among different genotype groups were compared by analysis of variance (ANOVA). Also, statistical analysis was performed using R and PLINK v.1.07. Haplotype frequencies and LD measures were estimated by using the software Haploview 4.2. Results: A logistic regression analysis found a significant difference in restenosis rates for different genotypes. FGB (rs1800790) is significantly associated with restenosis after stenting (OR = 2.924, P = 2.3E−06, additive model) in the Kazakh population. CD14 (rs2569190) showed a significant association in the additive (OR = 0.08033, P = 2.11E−09) and dominant models (OR = 0.05359, P = 4.15E−11). NOS3 (rs1799983) was also highly associated with development of restenosis after stenting in additive (OR = 20.05, P = 2.74 E−12) and recessive models (OR = 22.24, P = 6.811E−10). Conclusions: Our results indicate that FGB (rs1800790), CD14 (rs2569190), and NOS3 (rs1799983) SNPs could be genetic markers for development of restenosis in Kazakh population. Adjustment for potential confounder factor BMI gave almost the same results. ru_RU
dc.language.iso en ru_RU
dc.publisher Human Genomics ru_RU
dc.rights Open Access - the content is available to the general public ru_RU
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject coronary heart disease ru_RU
dc.subject restenosis ru_RU
dc.subject SNP ru_RU
dc.subject genotyping ru_RU
dc.subject Research Subject Categories::NATURAL SCIENCES::Biology ru_RU
dc.title Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population ru_RU
dc.type Article ru_RU


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