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Title

Genetic polymorphisms in cardiovascular disease susceptibility among different ethnic groups

 

Authors

Promila Chauhan1*, Hemali Jha2 & Amrit Podder3

 

Affiliation

1Department of Physiology, Santosh Medical College (Deemed University), Ghaziabad, Uttar Pradesh, India; 2Department of Internal Medicine, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, Uttar Pradesh, India; 3Department of Physiology, Teerthanker Mahaveer Medical College & Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India; *Corresponding author

 

Email

Promila Chauhan - E-mail: drpchauhan1@gmail.com
Hemali Jha - E-mail: dr_hemali@yahoo.co.in
Amrit Podder - E-mail: amritpodder0@gmail.com

 

Article Type

Research Article

 

Date

Received January 1, 2026; Revised January 31, 2026; Accepted January 31, 2026, Published January 31, 2026

 

Abstract

Genetic polymorphisms in cardiovascular disease (CVD) susceptibility across different ethnic groups is highly imperetive. Therefore, it is of interest to investigate the role of genetic polymorphisms in cardiovascular disease (CVD) susceptibility across different ethnic groups. Participants were tested for variations in LDLR, APOE and LPL genes and their association with cardiovascular risk factors such as cholesterol levels and blood pressure was examined. Data shows ethnic differences in the prevalence of these polymorphisms, suggesting that genetic factors contribute to CVD risk in a population-specific manner. Thus, we show the need for personalized cardiovascular risk assessment strategies. The ethnic-specific distribution of genetic polymorphisms (LDLR, APOE and LPL) linked to cardiovascular disease susceptibility, highlighting the need for personalized cardiovascular risk assessment strategies based on genetic and ethnic factors is highlighted.

 

Keywords

APOE, cardiovascular disease, ethnic groups, low-density lipoprotein receptor (LDLR), polymorphisms

 

Citation

Chauhan et al. Bioinformation 22(1): 38-41 (2026)

 

Edited by

Ritik Kashwani

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.