Departamento de Salud, Universidad Iberoamericana Ciudad de México, Mexico City 01219, Mexico.
Department of Sociology, University of California, Santa Barbara, CA 93106, USA.
Nutrients. 2024 Oct 8;16(19):3402. doi: 10.3390/nu16193402.
BACKGROUND/OBJECTIVES: Genetic factors contribute to the physiopathology of obesity and its comorbidities. This study aimed to investigate the association of the SNPs (rs9282541), (rs2241766), (rs9939609), (rs10195252), and (rs1805134) with various clinical, anthropometric, and biochemical variables.
The study included 396 Mexican mestizo individuals with obesity and 142 individuals with normal weight. Biochemical markers were evaluated from peripheral blood samples, and SNP genotyping was performed using PCR with TaqMan probes. A genetic risk score (GRS) was computed using an additive model.
No significant associations were found between the SNPs , , , and with obesity. However, the T allele of the SNP was significantly associated with obesity (χ = 5.93, = 0.01; OR = 1.52; 95% CI: 1.08-2.12). A multivariate linear regression model (adjusted R-squared: 0.1253; < 0.001) predicting LDL-c levels among all participants (n = 538) identified significant ( < 0.05) beta coefficients for several anthropometric and biochemical variables, as well as for the GRS. Additionally, the interaction between the GRS and the waist-to-hip ratio (WHR) showed a negative beta coefficient (BC = -26.5307; = 0.014). Participants with a WHR < 0.839 showed no effect of GRS on LDL-c concentration, while those with a WHR > 0.839 exhibited a greater effect of GRS (9) at lower LDL-c concentrations (50 mg/dL) and a lesser effect of GRS (7) at higher LDL-c concentrations (250 mg/dL).
A significant interaction between genetics and WHR influences LDL-c in Mexicans, which may contribute to the prevention and clinical management of dyslipidemia and cardiovascular disease.
背景/目的:遗传因素与肥胖及其合并症的病理生理学有关。本研究旨在探讨 SNP(rs9282541)、(rs2241766)、(rs9939609)、(rs10195252)和(rs1805134)与各种临床、人体测量和生化变量的关联。
该研究纳入了 396 名墨西哥梅斯蒂索肥胖个体和 142 名体重正常个体。外周血样本评估了生化标志物,PCR 与 TaqMan 探针用于 SNP 基因分型。使用加性模型计算遗传风险评分(GRS)。
SNP(rs9282541)、(rs2241766)、(rs9939609)和(rs10195252)与肥胖之间未发现显著关联。然而,SNP(rs1805134)的 T 等位基因与肥胖显著相关(χ=5.93,=0.01;OR=1.52;95%CI:1.08-2.12)。一个多变量线性回归模型(调整后的 R 平方:0.1253;<0.001)预测所有参与者(n=538)的 LDL-c 水平,确定了几个人体测量和生化变量以及 GRS 的显著(<0.05)β系数。此外,GRS 和腰臀比(WHR)之间的交互作用显示出负的β系数(BC=-26.5307;=0.014)。WHR<0.839 的参与者中,GRS 对 LDL-c 浓度没有影响,而 WHR>0.839 的参与者在 LDL-c 浓度较低(50mg/dL)时,GRS 的影响更大(9),而在 LDL-c 浓度较高(250mg/dL)时,GRS 的影响较小(7)。
遗传因素与 WHR 之间的显著相互作用影响墨西哥人的 LDL-c,这可能有助于预防和临床管理血脂异常和心血管疾病。