Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus

Background and Aims: Along with the conventional risk factors and based on the Framingham risk score, a preventive measure can be targeted in those subjects who are in risk category. The use of genotype-based assessment in these subjects can be much benefited in clinical decision-making. Hence, we a...

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Main Authors: Geetha Bhaktha, Shivananda Nayak
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Clinical and Preventive Cardiology
Subjects:
Online Access:http://www.jcpconline.org/article.asp?issn=2250-3528;year=2021;volume=10;issue=4;spage=133;epage=138;aulast=Bhaktha
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author Geetha Bhaktha
Shivananda Nayak
author_facet Geetha Bhaktha
Shivananda Nayak
author_sort Geetha Bhaktha
collection DOAJ
description Background and Aims: Along with the conventional risk factors and based on the Framingham risk score, a preventive measure can be targeted in those subjects who are in risk category. The use of genotype-based assessment in these subjects can be much benefited in clinical decision-making. Hence, we aimed to match the risk frequency with genotype score for rs10757278 in asymptomatic coronary heart disease (CHD) individuals. Methods: This is a cross-sectional study with 105 participants. These subjects were without any clinical presentation of CHD. Single-nucleotide polymorphism 10757278 was genotyped using tetra-primer amplification refractory mutation system–polymerase chain reaction. Results: The minor allele frequency was 0.84 higher though the subjects were asymptomatic. When the group was categorized using Framingham risk score (low, moderate, and high), it was observed that the risk allele was 0.74 versus 0.77 versus 0.93. The risk allele frequency (male) in low, moderate, and high groups was 0.76 versus 0.79 versus 0.94. This incremental rise was lost in females with risk allele frequency to be 0.81 versus 0.76 versus 0.87. It is observed that the association between gender and risk status was significant (P < 0.001) both while considering risk wise and even after considering the risk allele. Conclusion: A good individual predicted risk can be assessed using global risk stratification along with the knowledge of the interaction of genetics. Further, to determine the accuracy and clinical utility of such reclassification, more prospective studies are needed.
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spelling doaj.art-e7625a7eeab34187a00cca46e190be0c2022-12-21T19:48:29ZengWolters Kluwer Medknow PublicationsJournal of Clinical and Preventive Cardiology2250-35282021-01-0110413313810.4103/jcpc.jcpc_3_21Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locusGeetha BhakthaShivananda NayakBackground and Aims: Along with the conventional risk factors and based on the Framingham risk score, a preventive measure can be targeted in those subjects who are in risk category. The use of genotype-based assessment in these subjects can be much benefited in clinical decision-making. Hence, we aimed to match the risk frequency with genotype score for rs10757278 in asymptomatic coronary heart disease (CHD) individuals. Methods: This is a cross-sectional study with 105 participants. These subjects were without any clinical presentation of CHD. Single-nucleotide polymorphism 10757278 was genotyped using tetra-primer amplification refractory mutation system–polymerase chain reaction. Results: The minor allele frequency was 0.84 higher though the subjects were asymptomatic. When the group was categorized using Framingham risk score (low, moderate, and high), it was observed that the risk allele was 0.74 versus 0.77 versus 0.93. The risk allele frequency (male) in low, moderate, and high groups was 0.76 versus 0.79 versus 0.94. This incremental rise was lost in females with risk allele frequency to be 0.81 versus 0.76 versus 0.87. It is observed that the association between gender and risk status was significant (P < 0.001) both while considering risk wise and even after considering the risk allele. Conclusion: A good individual predicted risk can be assessed using global risk stratification along with the knowledge of the interaction of genetics. Further, to determine the accuracy and clinical utility of such reclassification, more prospective studies are needed.http://www.jcpconline.org/article.asp?issn=2250-3528;year=2021;volume=10;issue=4;spage=133;epage=138;aulast=Bhakthaanrilcoronary heart diseaseframingham risk scoregenetic risk score
spellingShingle Geetha Bhaktha
Shivananda Nayak
Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
Journal of Clinical and Preventive Cardiology
anril
coronary heart disease
framingham risk score
genetic risk score
title Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
title_full Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
title_fullStr Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
title_full_unstemmed Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
title_short Genotype-based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
title_sort genotype based prediction for cardiovascular disease risk using polymorphism in rs10757278 at 9p21 locus
topic anril
coronary heart disease
framingham risk score
genetic risk score
url http://www.jcpconline.org/article.asp?issn=2250-3528;year=2021;volume=10;issue=4;spage=133;epage=138;aulast=Bhaktha
work_keys_str_mv AT geethabhaktha genotypebasedpredictionforcardiovasculardiseaseriskusingpolymorphisminrs10757278at9p21locus
AT shivanandanayak genotypebasedpredictionforcardiovasculardiseaseriskusingpolymorphisminrs10757278at9p21locus