在Trans-Omics for Precision Medicine计划的参与者中,对明显的耐治疗高血压状态的全基因组序列分析
Nicole D Armstrong1, Vinodh Srinivasasainagendra2, Farah Ammous3,4
1Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States.
Frontiers in genetics
|January 1, 2024
概括
基因分析发现了与明显的耐治疗高血压相关的KCNK3变异. 在全基因组测序数据中的这一发现需要在不同人群中进一步验证,以了解其在高血压病理生物学中的作用.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 心血管疾病的研究研究.
- 精准医学是一门精准的医学.
背景情况:
- 明显耐治疗高血压 (aTRH) 定义为需要四种或更多类型的抗高血压药物来控制血压.
- 了解aTRH的遗传基础对于开发有针对性的治疗策略至关重要.
- 全基因组测序提供了一种强大的工具,用于识别与高血压等复杂疾病相关的遗传变异.
研究的目的:
- 进行单变体和基因分析,以确定导致明显耐治疗高血压 (aTRH) 的遗传因素.
- 分析来自多种多样的TOPMed (Trans-Omics for Precision Medicine) 队伍的遗传数据.
- 在多民族和特定的种族/种族层面研究遗传关联.
主要方法:
- 利用了来自12个TOPMed队伍的全基因组测序数据.
- 确定的病例是患有高血压的个体,服用三种或更多类型的抗高血压药物,血压不受控制,或服用四种或更多类型的药物.
- 使用后勤回归与亲属性调整 (SAIGE) 和SKAT-O进行罕见变异分析,对共变量进行调整.
主要成果:
- 最重要的一项发现是KCNK3基因 (rs12476527) 的变异与多民族常压对照组中的aTRH相关 (p = 8.23E-07).
- 这种KCNK3变种在范德比尔特大学医学中心的独立数据集中成功复制.
- 基因分析显示了AGTPBP,MYL4,PDCD4,BBS9,ERG和IER3.3中的总体信号.
结论:
- 该研究确定了一个显著的基因位点 (KCNK3),可能与明显抗治疗高血压的病理生物学有关.
- 其他位置的基因信号需要进一步研究它们在aTRH中的作用.
- 为了确认这些发现及其临床相关性,在更大,多样化的群体中进一步验证是必不可少的.
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