RAAS系统SNP的多态性与中国北部农村地区的基本高血压风险有关
Jin Cheng1,2,3,4, Jing Cui1,2,3,4,5, Yuanyuan Li1,2,3,4
1Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, People's Republic of China.
International journal of medical sciences
|November 8, 2024
概括
这项研究确定了与高血压风险相关的氨酸- ангиотензин- 阿尔多斯特系统 (RAAS) 中的特定基因变异. 开发了一种新的多基因风险评分模型,用于预测基本高血压易感性.
科学领域:
- 遗传学 是一个遗传学.
- 心血管疾病流行病学
- 分子生物学分子生物学
背景情况:
- 高血压风险受到遗传和环境因素的影响.
- 单核酸多态 (SNPs) 在氨酸- ангиотензин- 阿尔多斯特系统 (RAAS) 基因集群中的单核酸多态 (SNPs) 对高血压敏感性的确切影响仍然不完全理解.
研究的目的:
- 调查关键RAAS基因中的特定SNP和单质类型之间的关联,以及发展基本高血压的风险.
- 开发和验证一个多基因风险评分模型,以基于RAAS基因变异预测个体高血压风险.
主要方法:
- 一项涉及757名参与者 (428名患有高血压) 的ECDRAHC队列的病例控制研究.
- 对32个SNP位点和9个RAAS相关基因的相关单元类型的分析,包括AGT,ACE,AGTR1,CYP11B2,LDLR,LRP5,LRP6,PPARG和ACE2.
- 开发一个多基因评分模型来评估SNP对高血压风险的累积影响.
主要成果:
- 多变量逻辑回归确定了AGT/rs5046,LRP6/rs12823243和ACE2/rs2285666变体与基本高血压敏感性之间的显著关联.
- 多基因风险得分模型表明,得分大于-0.225与高血压的更高风险有关 (OR: 1.229,95% CI: 1.110-1.362).
结论:
- 这项研究提出了第一个基于RAAS相关基因集群的高血压风险评分模型.
- 开发的模型通过识别具有更高遗传风险的个体,为预防和管理基本高血压提供了一种新的方法.
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