OMICmAge:一个整合性的多omics方法来用电子医疗记录量化生物年龄
Qingwen Chen1, Varun B Dwaraka2, Natàlia Carreras-Gallo2
1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
bioRxiv : the preprint server for biology
|October 31, 2023
概括
研究人员使用临床数据开发了EMRAge,这是一种生物衰老测量方法. 这项测量,与DNAmEMRAge和OMICmAge一起,准确预测死亡率和慢性疾病,优于现有的生物标志物.
科学领域:
- 生物遗传学 生物遗传学
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 生物标志物发现发现
背景情况:
- 生物衰老是一个复杂的,多因素的过程,受细胞和生化相互作用的影响.
- 老龄化反映在个体的欧米特征,包括DNA甲基化.
- 现有的衰老和死亡风险的生物标志物在准确性和范围上有局限性.
研究的目的:
- 通过使用常见的临床实验室措施,开发一个强大的和可预测的生物衰老表型.
- 使用DNA甲基化和多原子数据建模这种表型.
- 验证针对慢性疾病发病率和死亡风险的新型衰老生物标志物.
主要方法:
- 从MGB-Biobank (约30,000个人) 的临床数据开发了生物衰老表型EMRAge.
- 应用弹性网回归到模型EMRAge与DNA甲基化 (DNAm) 和多个奥米克 (蛋白质组,代谢组).
- 创建了DNAmEMRAge和OMICmAge生物标志物,并在发现和验证队列 (共16117人) 中验证了它们.
主要成果:
- EMRAge是一种强大的,可预测的生物衰老表型,可在电子健康记录中复制.
- DNAmEMRAge和OMICmAge与慢性疾病和死亡率有很强的关联.
- 这些新型生物标志物在预测发现和验证队列中的健康结果方面超过了现有的生物标志物.
结论:
- 新的生物衰老生物标志物EMRAge,DNAmEMRAge和OMICmAge可以更好地预测死亡率和慢性疾病.
- OMICmAge利用表观遗传代理来整合各种omics数据,扩大预测搜索空间.
- 这些生物标志物提供了发现临床相关的,对衰老过程至关重要的相互联系的机会.
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