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Year : 2021  |  Volume : 10  |  Issue : 4  |  Page : 133-138

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

1 Multidisciplinary Research Unit, Shimoga Institute of Medical Sciences, Shimoga, Karnataka, India
2 Department of Biochemistry, Subbaiah Institute of Medical Sciences, Shimoga, Karnataka, India

Correspondence Address:
Dr. Geetha Bhaktha
Research Scientist-C, Multidisciplinary Research Unit, Shimoga Institute of Medical Sciences, Shimoga, Karnataka
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jcpc.jcpc_3_21

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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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