人类长寿的多基因预测,假设是普遍的类型
M Reza Jabalameli1, Jhih-Rong Lin1, Quanwei Zhang1
1Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA.
Scientific reports
|August 28, 2024
概括
研究人员开发了综合长寿遗传分数 (iLGSs),以建模寿命变异并确定异常生存率. 这种多基因方法有助于预测寿命,并确定潜在的治疗目标.
科学领域:
- 遗传学 遗传学 是一个
- 长寿研究研究 长寿研究
- 生物信息学是一种生物信息学.
背景情况:
- 人类的长寿是高度多基因的,而多基因在它的遗传结构中起着关键作用.
- 了解与衰老相关的特征 (ARTs) 的遗传基础对于建模寿命变异至关重要.
研究的目的:
- 用ARTs之间的遗传相关性来建模添加寿命变异.
- 开发综合长寿遗传分数 (iLGSs) 来识别特殊的生存率.
- 为了发现与寿命相关的基因组类型的模式.
主要方法:
- 利用ART之间的遗传相关性来建模寿命变异.
- 在英国生物银行进行了PheWAS分析,确定了34个关键变体.
- 开发了一个整体模型来创建iLGSs来预测特殊的寿命.
- 在两个独立的队列 (Scripps Wellderly,MRGB) 中验证了该模型.
主要成果:
- 确定了34种影响脂质代谢,BMI和认知表现的变体.
- 根据iLGS模型,人们的寿命非常长,最高十分之一的人的寿命增加了4.8年.
- 发现与异常长寿和潜在的老年治疗药物标相关的蛋白质标记物.
- 突出了PI3K-Akt路径作为衰老干预的目标.
结论:
- 开发的框架为长寿的多基因建模提供了一个有希望的方法.
- iLGS可以帮助识别早期干预较高死亡风险的个体.
- 蛋白质组分析揭示了减缓衰老和延长寿命的可操作途径.
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