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Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898353/ https://www.ncbi.nlm.nih.gov/pubmed/27277665 http://dx.doi.org/10.1186/s40246-016-0077-z |
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author | Zholdybayeva, Elena V. Talzhanov, Yerkebulan A. Aitkulova, Akbota M. Tarlykov, Pavel V. Kulmambetova, Gulmira N. Iskakova, Aisha N. Dzholdasbekova, Aliya U. Visternichan, Olga A. Taizhanova, Dana Zh. Ramanculov, Yerlan M. |
author_facet | Zholdybayeva, Elena V. Talzhanov, Yerkebulan A. Aitkulova, Akbota M. Tarlykov, Pavel V. Kulmambetova, Gulmira N. Iskakova, Aisha N. Dzholdasbekova, Aliya U. Visternichan, Olga A. Taizhanova, Dana Zh. Ramanculov, Yerlan M. |
author_sort | Zholdybayeva, Elena V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4898353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48983532016-06-09 Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population Zholdybayeva, Elena V. Talzhanov, Yerkebulan A. Aitkulova, Akbota M. Tarlykov, Pavel V. Kulmambetova, Gulmira N. Iskakova, Aisha N. Dzholdasbekova, Aliya U. Visternichan, Olga A. Taizhanova, Dana Zh. Ramanculov, Yerlan M. Hum Genomics Primary Research 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. BioMed Central 2016-06-08 /pmc/articles/PMC4898353/ /pubmed/27277665 http://dx.doi.org/10.1186/s40246-016-0077-z Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Primary Research Zholdybayeva, Elena V. Talzhanov, Yerkebulan A. Aitkulova, Akbota M. Tarlykov, Pavel V. Kulmambetova, Gulmira N. Iskakova, Aisha N. Dzholdasbekova, Aliya U. Visternichan, Olga A. Taizhanova, Dana Zh. Ramanculov, Yerlan M. Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
title | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
title_full | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
title_fullStr | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
title_full_unstemmed | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
title_short | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
title_sort | genetic risk factors for restenosis after percutaneous coronary intervention in kazakh population |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898353/ https://www.ncbi.nlm.nih.gov/pubmed/27277665 http://dx.doi.org/10.1186/s40246-016-0077-z |
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