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DOI 10.1093/bib/bbad007

Медицинская библиотека · Briefings in bioinformatics · 2023

Genetic control of RNA editing in neurodegenerative disease.

Wu Sijia, Xue Qiuping, Yang Mengyuan, Wang Yanfei, Kim Pora, Zhou Xiaobo, Huang Liyu

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

A-to-I RNA editing diversifies human transcriptome to confer its functional effects on the downstream genes or regulations, potentially involving in neurodegenerative pathogenesis. Its variabilities are attributed to multiple regulators, including the key factor of genetic variants. To comprehensively investigate the potentials of neurodegenerative disease-susceptibility variants from the view of A-to-I RNA editing, we analyzed matched genetic and transcriptomic data of 1596 samples across nine brain tissues and whole blood from two large consortiums, Accelerating Medicines Partnership-Alzheimer's Disease and Parkinson's Progression Markers Initiative. The large-scale and genome-wide identification of 95 198 RNA editing quantitative trait loci revealed the preferred genetic effects on adjacent editing events. Furthermore, to explore the underlying mechanisms of the genetic controls of A-to-I RNA editing, several top RNA-binding proteins were pointed out, such as EIF4A3, U2AF2, NOP58, FBL, NOP56 and DHX9, since their regulations on multiple RNA-editing events were probably interfered by these genetic variants. Moreover, these variants may also contribute to the variability of other molecular phenotypes associated with RNA editing, including the functions of 3 proteins, expressions of 277 genes and splicing of 449 events. All the analyses results shown in NeuroEdQTL (https://relab.xidian.edu.cn/NeuroEdQTL/) constituted a unique resource for the understanding of neurodegenerative pathogenesis from genotypes to phenotypes related to A-to-I RNA editing.

Для цитирования: Wu Sijia, Xue Qiuping, Yang Mengyuan, Wang Yanfei, Kim Pora, Zhou Xiaobo, Huang Liyu. Genetic control of RNA editing in neurodegenerative disease.. Briefings in bioinformatics. 2023. DOI: 10.1093/bib/bbad007.

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