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Article Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12326425PMC
http://dx.doi.org/10.31083/RCM37356DOI Listing

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