脆弱与心血管指标和行为特征的遗传和表型关联
Yihan Chen1, Siying Lin2, Shuangyu Yang3
1School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Medical research center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
虚弱指数 (FI) 可以使用心血管指标和行为特征来预测. 这个模型有助于监测2型糖尿病和神经退行性疾病的风险.
科学领域:
- 老年病学和遗传学
- 心血管健康 心血管健康
- 神经退行性疾病 神经退行性疾病
背景情况:
- 虚弱指数 (FI) 是虚弱的关键指标,推用于常规临床使用.
- 了解FI,心血管指标 (CI) 和行为特征 (BC) 之间的遗传和表型联系对于监测脆弱性至关重要.
- 目前的局限性阻碍了使用易于获得的数据进行FI监测.
研究的目的:
- 调查FI,CI和BC之间的遗传和表型关联.
- 使用CIs和BCs开发FI的预测模型.
- 评估与预测FI相关的2型糖尿病 (T2D) 和神经退行性疾病的风险.
主要方法:
- 交叉特征LD得分回归 (LDSC) 和门德尔随机化 (MR) 分析了FI,288CI和90BC之间的遗传关系.
- 一个机器学习模型整合了CI和BC的表型数据,以预测英国生物银行参与者的FI.
- 卡普兰-梅尔和考克斯的比例危险模型评估了预测FI与T2D和神经退行性疾病风险的关联.
主要成果:
- MR确定了七个CI和八个BC,这些CI和八个BC对FI具有假定的因果影响.
- 预测模型与观察到的FI有很强的相关性 (r=0.660,P<5x10−62).
- 通常步行速度是最重要的预测因素;高预测FI与T2D (HR=2.64) 和神经退行性疾病风险 (HR=2.31) 的增加相关.
结论:
- 基因和表型数据支持FI,CI和BC之间的关联.
- 使用易于收集的CI和BC数据的集成模型可以预测FI.
- 这种预测模型具有监测脆弱性和相关疾病风险的潜力.
更多相关视频
04:00Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
Published on: July 26, 2024
09:40Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle
Published on: January 19, 2017
相关概念视频
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Pathophysiology of Heart Failure
Aging
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Polygenic Traits
Background and Environment Affect Phenotype
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
