Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population
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. Four hundred fifty-nine patients were recruited to the...
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| Veröffentlicht in: | Human Genomics 2016-06, Vol.10 (1), p.15-15, Article 15 |
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| creator | 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 |
| description | 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.
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.
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).
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. |
| doi_str_mv | 10.1186/s40246-016-0077-z |
| format | Article |
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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.
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).
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.</description><identifier>ISSN: 1479-7364</identifier><identifier>ISSN: 1473-9542</identifier><identifier>EISSN: 1479-7364</identifier><identifier>DOI: 10.1186/s40246-016-0077-z</identifier><identifier>PMID: 27277665</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Aged ; Cardiac patients ; Case-Control Studies ; Comparative analysis ; Coronary heart disease ; Coronary Restenosis - genetics ; Coronary Restenosis - prevention & control ; Female ; Genetic aspects ; Genetic Association Studies ; Genetic markers ; Genetic Predisposition to Disease ; Haplotypes ; Health aspects ; Humans ; Interleukin-10 - genetics ; Kazakhstan ; Male ; Medical research ; Medicine, Experimental ; Middle Aged ; Percutaneous Coronary Intervention ; Polymorphism, Single Nucleotide ; Primary Research ; Receptor, Angiotensin, Type 1 - genetics ; Risk Factors ; Single nucleotide polymorphisms ; Stent (Surgery) ; Transluminal angioplasty</subject><ispartof>Human Genomics, 2016-06, Vol.10 (1), p.15-15, Article 15</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2016</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-3a7c357210b062e5155991008d151487fccbb260c084d22370cff96a15edc8003</citedby><cites>FETCH-LOGICAL-c528t-3a7c357210b062e5155991008d151487fccbb260c084d22370cff96a15edc8003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898353/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898353/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27277665$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zholdybayeva, Elena V</creatorcontrib><creatorcontrib>Talzhanov, Yerkebulan A</creatorcontrib><creatorcontrib>Aitkulova, Akbota M</creatorcontrib><creatorcontrib>Tarlykov, Pavel V</creatorcontrib><creatorcontrib>Kulmambetova, Gulmira N</creatorcontrib><creatorcontrib>Iskakova, Aisha N</creatorcontrib><creatorcontrib>Dzholdasbekova, Aliya U</creatorcontrib><creatorcontrib>Visternichan, Olga A</creatorcontrib><creatorcontrib>Taizhanova, Dana Zh</creatorcontrib><creatorcontrib>Ramanculov, Yerlan M</creatorcontrib><title>Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population</title><title>Human Genomics</title><addtitle>Hum Genomics</addtitle><description>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.
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.
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).
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.</description><subject>Aged</subject><subject>Cardiac patients</subject><subject>Case-Control Studies</subject><subject>Comparative analysis</subject><subject>Coronary heart disease</subject><subject>Coronary Restenosis - genetics</subject><subject>Coronary Restenosis - prevention & control</subject><subject>Female</subject><subject>Genetic aspects</subject><subject>Genetic Association Studies</subject><subject>Genetic markers</subject><subject>Genetic Predisposition to Disease</subject><subject>Haplotypes</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Interleukin-10 - genetics</subject><subject>Kazakhstan</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Middle Aged</subject><subject>Percutaneous Coronary Intervention</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Primary Research</subject><subject>Receptor, Angiotensin, Type 1 - genetics</subject><subject>Risk Factors</subject><subject>Single nucleotide polymorphisms</subject><subject>Stent (Surgery)</subject><subject>Transluminal angioplasty</subject><issn>1479-7364</issn><issn>1473-9542</issn><issn>1479-7364</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdUU1LHTEUDdJSre0PcCOBbtyMzc33bAQRa0uFbtp1yMtLNDovGZMZwffrm8dY0RJCknvPuTmHg9ARkFMALb9WTiiXHYG2iVLddg8dAFd9p5jk717d99HHWu8IYcAU_4D2qaJKSSkOkL3yyU_R4RLrPQ7WTblUHHLBxdfJp1xjxTZMvuDRFzdPNvk8V-xyycmWJxxT6z36NMWc2gP_tFt7f4vHPM6D3RU_offBDtV_fj4P0Z9vl78vvnfXv65-XJxfd05QPXXMKseEokBWRFIvQIi-B0L0GgRwrYJzqxWVxBHN15QyRVwIvbQg_NrpZu0QnS1zx3m1abUmqdjBjCVumk6TbTRvOynempv8aLjuNROsDTh5HlDyw9zcm02szg_DYtmA6oWWAjQ06Jf_oHd5LqnZM6AJ9Jwsik4X1I0dvIkp5Pava2vtN9Hl5ENs9XMutVayJ6oRYCG4kmstPryoB2J2iZslcdMSN7vEzbZxjl_bfmH8i5j9BSOJqIA</recordid><startdate>20160608</startdate><enddate>20160608</enddate><creator>Zholdybayeva, Elena V</creator><creator>Talzhanov, Yerkebulan A</creator><creator>Aitkulova, Akbota M</creator><creator>Tarlykov, Pavel V</creator><creator>Kulmambetova, Gulmira N</creator><creator>Iskakova, Aisha N</creator><creator>Dzholdasbekova, Aliya U</creator><creator>Visternichan, Olga A</creator><creator>Taizhanova, Dana Zh</creator><creator>Ramanculov, Yerlan M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160608</creationdate><title>Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-3a7c357210b062e5155991008d151487fccbb260c084d22370cff96a15edc8003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Cardiac patients</topic><topic>Case-Control Studies</topic><topic>Comparative analysis</topic><topic>Coronary heart disease</topic><topic>Coronary Restenosis - genetics</topic><topic>Coronary Restenosis - prevention & control</topic><topic>Female</topic><topic>Genetic aspects</topic><topic>Genetic Association Studies</topic><topic>Genetic markers</topic><topic>Genetic Predisposition to Disease</topic><topic>Haplotypes</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Interleukin-10 - genetics</topic><topic>Kazakhstan</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Middle Aged</topic><topic>Percutaneous Coronary Intervention</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Primary Research</topic><topic>Receptor, Angiotensin, Type 1 - genetics</topic><topic>Risk Factors</topic><topic>Single nucleotide polymorphisms</topic><topic>Stent (Surgery)</topic><topic>Transluminal angioplasty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zholdybayeva, Elena V</creatorcontrib><creatorcontrib>Talzhanov, Yerkebulan A</creatorcontrib><creatorcontrib>Aitkulova, Akbota M</creatorcontrib><creatorcontrib>Tarlykov, Pavel V</creatorcontrib><creatorcontrib>Kulmambetova, Gulmira N</creatorcontrib><creatorcontrib>Iskakova, Aisha N</creatorcontrib><creatorcontrib>Dzholdasbekova, Aliya U</creatorcontrib><creatorcontrib>Visternichan, Olga A</creatorcontrib><creatorcontrib>Taizhanova, Dana Zh</creatorcontrib><creatorcontrib>Ramanculov, Yerlan M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human Genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zholdybayeva, Elena V</au><au>Talzhanov, Yerkebulan A</au><au>Aitkulova, Akbota M</au><au>Tarlykov, Pavel V</au><au>Kulmambetova, Gulmira N</au><au>Iskakova, Aisha N</au><au>Dzholdasbekova, Aliya U</au><au>Visternichan, Olga A</au><au>Taizhanova, Dana Zh</au><au>Ramanculov, Yerlan M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population</atitle><jtitle>Human Genomics</jtitle><addtitle>Hum Genomics</addtitle><date>2016-06-08</date><risdate>2016</risdate><volume>10</volume><issue>1</issue><spage>15</spage><epage>15</epage><pages>15-15</pages><artnum>15</artnum><issn>1479-7364</issn><issn>1473-9542</issn><eissn>1479-7364</eissn><abstract>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.
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.
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).
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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>27277665</pmid><doi>10.1186/s40246-016-0077-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SpringerNature Journals; PubMed Central Open Access; PubMed Central; Springer Nature OA/Free Journals |
| subjects | Aged Cardiac patients Case-Control Studies Comparative analysis Coronary heart disease Coronary Restenosis - genetics Coronary Restenosis - prevention & control Female Genetic aspects Genetic Association Studies Genetic markers Genetic Predisposition to Disease Haplotypes Health aspects Humans Interleukin-10 - genetics Kazakhstan Male Medical research Medicine, Experimental Middle Aged Percutaneous Coronary Intervention Polymorphism, Single Nucleotide Primary Research Receptor, Angiotensin, Type 1 - genetics Risk Factors Single nucleotide polymorphisms Stent (Surgery) Transluminal angioplasty |
| title | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population |
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