Institute of Microbiology, University Hospital Center, University of Lausanne, Lausanne, Switzerland.
Clin Infect Dis. 2013 Jul;57(1):112-21. doi: 10.1093/cid/cit196. Epub 2013 Mar 26.
Persons infected with human immunodeficiency virus (HIV) have increased rates of coronary artery disease (CAD). The relative contribution of genetic background, HIV-related factors, antiretroviral medications, and traditional risk factors to CAD has not been fully evaluated in the setting of HIV infection.
In the general population, 23 common single-nucleotide polymorphisms (SNPs) were shown to be associated with CAD through genome-wide association analysis. Using the Metabochip, we genotyped 1875 HIV-positive, white individuals enrolled in 24 HIV observational studies, including 571 participants with a first CAD event during the 9-year study period and 1304 controls matched on sex and cohort.
A genetic risk score built from 23 CAD-associated SNPs contributed significantly to CAD (P = 2.9 × 10(-4)). In the final multivariable model, participants with an unfavorable genetic background (top genetic score quartile) had a CAD odds ratio (OR) of 1.47 (95% confidence interval [CI], 1.05-2.04). This effect was similar to hypertension (OR = 1.36; 95% CI, 1.06-1.73), hypercholesterolemia (OR = 1.51; 95% CI, 1.16-1.96), diabetes (OR = 1.66; 95% CI, 1.10-2.49), ≥ 1 year lopinavir exposure (OR = 1.36; 95% CI, 1.06-1.73), and current abacavir treatment (OR = 1.56; 95% CI, 1.17-2.07). The effect of the genetic risk score was additive to the effect of nongenetic CAD risk factors, and did not change after adjustment for family history of CAD.
In the setting of HIV infection, the effect of an unfavorable genetic background was similar to traditional CAD risk factors and certain adverse antiretroviral exposures. Genetic testing may provide prognostic information complementary to family history of CAD.
感染人类免疫缺陷病毒 (HIV) 的个体冠心病 (CAD) 发病率增加。在 HIV 感染背景下,尚未充分评估遗传背景、HIV 相关因素、抗逆转录病毒药物和传统危险因素对 CAD 的相对贡献。
在普通人群中,通过全基因组关联分析发现 23 个常见的单核苷酸多态性 (SNP) 与 CAD 相关。我们使用代谢芯片对 24 项 HIV 观察性研究中纳入的 1875 名 HIV 阳性白人个体进行基因分型,其中包括 571 名在 9 年研究期间发生首次 CAD 事件的参与者和 1304 名按性别和队列匹配的对照者。
由 23 个与 CAD 相关的 SNP 构建的遗传风险评分显著增加 CAD(P=2.9×10(-4))。在最终的多变量模型中,遗传背景不佳(风险评分最高四分位数)的参与者 CAD 比值比 (OR) 为 1.47(95%置信区间 [CI],1.05-2.04)。这种作用类似于高血压(OR=1.36;95%CI,1.06-1.73)、高胆固醇血症(OR=1.51;95%CI,1.16-1.96)、糖尿病(OR=1.66;95%CI,1.10-2.49)、≥1 年洛匹那韦暴露(OR=1.36;95%CI,1.06-1.73)和当前阿巴卡韦治疗(OR=1.56;95%CI,1.17-2.07)。遗传风险评分的作用与非遗传 CAD 危险因素的作用相加,并且在调整 CAD 家族史后没有改变。
在 HIV 感染背景下,不利遗传背景的作用与传统 CAD 危险因素和某些不良抗逆转录病毒暴露相似。遗传检测可能提供与 CAD 家族史互补的预后信息。