School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK.
Department of Human Genetics, Punjabi University, Patiala 147002, India.
Int J Mol Sci. 2024 Aug 5;25(15):8552. doi: 10.3390/ijms25158552.
Coronary artery disease (CAD) is the leading cause of death in India. Many genetic polymorphisms play a role in regulating oxidative stress, blood pressure and lipid metabolism, contributing to the pathophysiology of CAD. This study examined the association between ten polymorphisms and CAD in the Jat Sikh population from Northern India, also considering polygenic risk scores. This study included 177 CAD cases and 175 healthy controls. The genetic information of (rs366631), (rs17856199), (rs4646994), M235T (rs699), T174M (rs4762), A1166C (rs5186), (rs3135506), (rs5128), (rs7412) and (rs429358) and clinical information was collated. Statistical analyses were performed using SPSS version 27.0 and SNPstats. Significant independent associations were found for , , , M235T, T174M, A1166C and polymorphisms and CAD risk (all < 0.05). The CT haplotype was significantly associated with a higher CAD risk, even after controlling for covariates (adjusted OR = 3.93, 95% CI [2.39-6.48], < 0.0001). The CC haplotype was also significantly associated with CAD (adjusted OR = 1.86, 95% CI [1.14-3.03], < 0.05). A higher polygenic risk score was associated with increased CAD risk (adjusted OR = 1.98, 95% CI [1.68-2.34], < 0.001). Seven polymorphisms were independently associated with an increase in the risk of CAD in this North Indian population. A considerable risk association of , haplotypes and higher genetic risk scores is documented, which may have implications for clinical and public health applications.
冠心病（CAD）是印度的主要死亡原因。许多遗传多态性在调节氧化应激、血压和脂质代谢方面发挥作用，导致 CAD 的病理生理学发生变化。本研究探讨了北方印度的贾特锡克族人群中十种多态性与 CAD 之间的关系，同时考虑了多基因风险评分。本研究纳入了 177 例 CAD 病例和 175 例健康对照者。对 rs366631、rs17856199、rs4646994、M235T(rs699)、T174M(rs4762)、A1166C(rs5186)、rs3135506、rs5128、rs7412 和 rs429358 的遗传信息和临床信息进行了整理。采用 SPSS 27.0 版和 SNPstats 进行统计分析。发现 rs10490926、rs10833662、rs4646994、M235T、rs4762、rs5186、rs3135506、rs5128、rs7412 和 rs429358 与 CAD 风险显著相关（均 < 0.05）。即使在调整协变量后，CT 单倍型与更高的 CAD 风险显著相关（调整后的 OR = 3.93，95%CI [2.39-6.48]， < 0.0001）。CC 单倍型也与 CAD 显著相关（调整后的 OR = 1.86，95%CI [1.14-3.03]， < 0.05）。较高的多基因风险评分与 CAD 风险增加相关（调整后的 OR = 1.98，95%CI [1.68-2.34]， < 0.001）。这一印度北部人群中，有七种多态性与 CAD 风险的增加独立相关。记录了 、 单倍型和较高遗传风险评分的相当大的风险关联，这可能对临床和公共卫生应用具有重要意义。
