孟德尔随机化
肌萎缩侧索硬化
代谢组学
基因组学
计算生物学
医学
功能基因组学
生物信息学
孟德尔遗传
发病机制
C9orf72
疾病
生物
遗传学
基因
病理
基因组
等位基因
三核苷酸重复扩增
免疫学
遗传变异
基因型
作者
Lihong Yang,Xiaohong Lv,Hanzhi Du,Di Wu,Mengchang Wang
标识
DOI:10.1016/j.pnpbp.2019.109771
摘要
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder that is affected by both genetic and environmental factors. Nowadays, OMIC technologies, such as genomics and metabolomics, are providing a systematic readout of genetic structures and physiological states for understanding human diseases. However, the comprehensive analysis of cross-omics is often lacking. Here, we conducted a Mendelian randomization analysis to provide a comprehensive analysis of metabolomics and genomics to estimate the causal relationships between non-targeted human serum metabolites and the development of ALS. Using genetic variants as predictors, our study detected 18 metabolites that might have causal effects on the development of ALS, including a group of gamma-glutamyl amino acids. Our findings suggested that glutathione metabolism dysfunction might be involved in the pathogenesis of ALS. Furthermore, our study provides a novel method to understand the pathogenesis of human diseases and develop therapeutic strategies for diseases by combining metabolomics with genomics.
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