He Chunhui, Song Xingming, He Ting, Tian Qing, Zhang Yuhui, Airikenjiang Halisha, Abulaiti Dilihumaer, Qiu Haitang, Zhu Mengbo, Yang Juan, Zhang Jian, Gao Ying
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, 100029 Beijing, China.
Department of Geriatric, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, 435000 Huangshi, Hubei, China.
Rev Cardiovasc Med. 2025 Jul 25;26(7):37356. doi: 10.31083/RCM37356. eCollection 2025 Jul.
Coronary heart disease (CHD) arises from a complex interplay of genetic and environmental factors. This study examines the influence of gene polymorphisms ( and ) and their interactions with traditional cardiovascular risk factors on CHD susceptibility.
This retrospective case-control study enrolled 900 CHD patients and 900 control subjects. We evaluated associations between conventional cardiovascular risk factors and polymorphisms at the and loci in the gene. Multifactorial analysis was used to assess interactions between traditional risk factors and these polymorphisms. Additionally, we developed a predictive model integrating genetic variants and clinical variables to estimate CHD risk.
No significant differences were observed in the distribution of genotypes (, , ) and alleles (, ), or genotypes (, , ) and alleles (, ) between CHD and control groups, including among males. However, in females with CHD, the genotype was significantly more frequent (49.30%) than in controls (37.80%), whereas the genotype was less frequent in the CHD group (45.00%) than in controls (55.20%). Multivariate logistic regression identified the genotype, hypertension, ages ≥60 years, body mass index (BMI) values ≥28 kg/m, total cholesterol (TC) ≥6.2 mmol/L, and apolipoprotein B (ApoB) ≥1.1 g/L as potential risk factors for CHD in women ( < 0.05). Gene-environment interaction analysis revealed that BMI exerted the greatest influence (12.62%). A predictive model incorporating genotypes estimated CHD risk in women with an area under the curve (AUC) of 0.804.
The genotype is potentially associated with an increased CHD risk in females, whereas the genotype may confer a protective effect. Integrating gene variants with traditional cardiovascular risk factors enhances CHD risk prediction in women. Synergistic interaction between polymorphisms and environmental factors appears to influence CHD occurrence in this population.
冠心病（CHD）源于遗传和环境因素的复杂相互作用。本研究探讨基因多态性（和）及其与传统心血管危险因素的相互作用对冠心病易感性的影响。
这项回顾性病例对照研究纳入了900例冠心病患者和900例对照受试者。我们评估了传统心血管危险因素与基因中位点多态性之间的关联。采用多因素分析评估传统危险因素与这些多态性之间的相互作用。此外，我们开发了一个整合基因变异和临床变量的预测模型来估计冠心病风险。
冠心病组和对照组之间，包括男性，在基因型（、、）和等位基因（、）的分布，或基因型（、、）和等位基因（、）的分布上未观察到显著差异。然而，在患有冠心病的女性中，基因型的频率（49.30%）显著高于对照组（37.80%），而冠心病组中基因型的频率（45.00%）低于对照组（55.20%）。多因素逻辑回归确定基因型、高血压、年龄≥60岁、体重指数（BMI）值≥28kg/m、总胆固醇（TC）≥6.2mmol/L和载脂蛋白B（ApoB）≥1.1g/L为女性冠心病的潜在危险因素（<0.05）。基因-环境相互作用分析显示BMI的影响最大（12.62%）。纳入基因型的预测模型估计女性冠心病风险的曲线下面积（AUC）为0.804。
基因型可能与女性冠心病风险增加相关，而基因型可能具有保护作用。将基因变异与传统心血管危险因素相结合可提高女性冠心病风险预测。多态性与环境因素之间的协同相互作用似乎影响该人群冠心病的发生。
