Integrative genomic analysis of RNA-modification-single nucleotide polymorphisms associated with kidney function

整合基因组分析与肾功能相关的RNA修饰单核苷酸多态性

阅读:1

Abstract

INTRODUCTION: Increasing evidence suggests that RNA modification plays a significant role in the kidney and may be an ideal target for the treatment of kidney diseases. However, the specific mechanisms underlying RNA modifications in the pathogenesis of kidney disease remain unclear. Genome-wide association studies (GWAS) have identified numerous genetic loci involved in kidney function and RNA modifications. The identification and exploration of RNA modification-related single-nucleotide polymorphisms (RNAm-SNPs) associated with kidney function can help us to comprehensively understand the underlying mechanism of kidney disease and identify potential therapeutic targets. METHODS: First, we examined the association of RNAm-SNPs with eGFR. Second, we performed expression quantitative trait locus (eQTL) and protein quantitative trait locus (pQTL) analyses to explore the functions of the identified RNAm-SNPs. Finally, we evaluated the causality between RNAm-SNP-associated gene expression and circulating proteins and kidney function using a Mendelian randomization (MR) analysis. RESULTS: A total of 252 RNA m-SNPs related to m(6)A, m(1)A, A-to-I, m(5)C, m(7)G, and m(5)U were identified. All these factors were significantly associated with the eGFR. A total of 119(47.22 %) RNAm-SNPs showed cis-eQTL effects in blood cells, whereas 72 (28.57 %) RNAm-SNPs showed cis-pQTL effects in plasma. 47 (18.65 %) RNAm-SNPs exhibited cis-eQTL and cis-pQTL effects. In addition, we demonstrated a causal association between RNAm-SNP-associated gene expression, circulating protein levels, and eGFR decline. Some of the identified genes and proteins have been reported to be associated with kidney diseases, such as CDK10 and SDCCAG8. CONCLUSIONS: This study reveals an association between RNAm-SNPs and kidney function. These SNPs regulate gene expression and protein levels through RNA modifications, eventually leading to kidney dysfunction. Our study provides novel insights that connect the genetic risk of kidney disease to RNA modification and suggests potential therapeutic targets for the prevention and treatment of kidney disease.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。