现型的,但不是基因预测的心率变化与所有原因的死亡率相关
Balewgizie S Tegegne1, M Abdullah Said2, Alireza Ani1,3
1Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
低心率变化 (HRV) 预测死亡率,但遗传联系尚不清楚. 这项研究发现了17种与HRV相关的新遗传变异,但基因预测的HRV并不能预测死亡率.
科学领域:
- 遗传学 遗传学 是一个
- 心脏病学 心脏病学
- 分子生物学分子生物学
背景情况:
- 低心率变化 (HRV) 是已知的增加死亡率的预测因素.
- 连接HRV和死亡率的潜在分子机制仍然不太清楚.
研究的目的:
- 为了确定与HRV相关的新型遗传基因位点.
- 评估表型HRV和基因预测HRV与死亡率的关联.
主要方法:
- 来自英国生物库的46,075名欧洲血统个体的全基因组关联研究 (GWAS).
- 鉴定与HRV特征相关的遗传变异.
- 与死亡率相关的表型HRV和遗传预测HRV (使用遗传风险得分) 的前性分析.
主要成果:
- 在16个与HRV特征相关的位点中确定了17个独立的全基因组显著的遗传变异.
- 首次报告了八个新型基因位点 (RNF220,GNB4,LINCR-002,KLHL3/HNRNPA0,CHRM2,KCNJ5,MED13L和C160rf72),这些基因位点是首次被发现的.
- 较低的表型HRV与较高的全因死亡风险有关.
- 基因预测HRV与死亡率无关.
结论:
- 这项研究为HRV背后的机制提供了新的生物学见解.
- 这些发现突出了心脏自主神经系统在预测死亡率方面的作用,根据HRV进行索引.
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