State Key Laboratory of Genetic Engineering and Innovation Center of Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Human Phenome Institute, Fudan University, Shanghai, China.
Sci Rep. 2020 Mar 5;10(1):4107. doi: 10.1038/s41598-020-60682-3.
Although Alzheimer's disease (AD) is a central nervous system disease and type 2 diabetes MELLITUS (T2DM) is a metabolic disorder, an increasing number of genetic epidemiological studies show clear link between AD and T2DM. The current approach to uncovering the shared pathways between AD and T2DM involves association analysis; however such analyses lack power to discover the mechanisms of the diseases. As an alternative, we developed novel causal inference methods for genetic studies of AD and T2DM and pipelines for systematic multi-omic casual analysis to infer multilevel omics causal networks for the discovery of common paths from genetic variants to AD and T2DM. The proposed pipelines were applied to 448 individuals from the ROSMAP Project. We identified 13 shared causal genes, 16 shared causal pathways between AD and T2DM, and 754 gene expression and 101 gene methylation nodes that were connected to both AD and T2DM in multi-omics causal networks.
尽管阿尔茨海默病(AD)是一种中枢神经系统疾病,而 2 型糖尿病(T2DM)是一种代谢紊乱,但越来越多的遗传流行病学研究表明 AD 和 T2DM 之间存在明显的联系。目前,揭示 AD 和 T2DM 之间共同途径的方法涉及关联分析;然而,此类分析缺乏发现疾病机制的能力。作为替代方法,我们为 AD 和 T2DM 的遗传研究开发了新的因果推理方法和系统的多组学因果分析管道,以推断多水平组学因果网络,从而从遗传变异中发现 AD 和 T2DM 的共同途径。所提出的管道应用于来自 ROSMAP 项目的 448 个人。我们确定了 13 个共享因果基因、AD 和 T2DM 之间的 16 个共享因果途径,以及多组学因果网络中与 AD 和 T2DM 均相关的 754 个基因表达和 101 个基因甲基化节点。