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Updated: Jun 8, 2025

MicroRNA In situ Hybridization for Formalin Fixed Kidney Tissues
Published on: November 30, 2013
Integrative genomic analysis of RNA-modification-single nucleotide polymorphisms associated with kidney function.
Xinran Liu1, Sai Zhu1, Xueqi Liu1
1Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
RNA modification-related single-nucleotide polymorphisms (RNAm-SNPs) are associated with kidney function. These genetic variations influence gene expression and protein levels, impacting kidney disease development and offering potential therapeutic targets.
Area of Science:
- Genetics
- Molecular Biology
- Nephrology
Background:
- RNA modifications are increasingly recognized for their role in kidney function and disease pathogenesis.
- The precise mechanisms linking RNA modifications to kidney disease remain largely unexplored.
- Genome-wide association studies (GWAS) have identified genetic loci relevant to both kidney function and RNA modification.
Purpose of the Study:
- To investigate the association between RNA modification-related single-nucleotide polymorphisms (RNAm-SNPs) and estimated glomerular filtration rate (eGFR).
- To explore the functional impact of identified RNAm-SNPs using expression quantitative trait locus (eQTL) and protein quantitative trait locus (pQTL) analyses.
- To evaluate the causal relationship between RNAm-SNP-associated gene expression, protein levels, and kidney function via Mendelian randomization (MR).
Main Methods:
- Association analysis of 252 RNAm-SNPs with eGFR.
- cis-eQTL and cis-pQTL analyses in blood cells and plasma.
- Mendelian randomization (MR) analysis to assess causality.
Main Results:
- 252 RNAm-SNPs associated with various RNA modifications (m 6 A, m 1 A, A-to-I, m 5 C, m 7 G, m 5 U) were identified and all significantly correlated with eGFR.
- Significant cis-eQTL effects were observed in 47.22% of RNAm-SNPs in blood cells, and cis-pQTL effects in 28.57% in plasma.
- A causal association was established between RNAm-SNP-associated gene expression, circulating protein levels, and eGFR decline, with some genes/proteins (e.g., CDK10, SDCCAG8) linked to kidney disease.
Conclusions:
- This study establishes a significant association between RNAm-SNPs and kidney function.
- RNAm-SNPs influence gene and protein expression through RNA modifications, contributing to kidney dysfunction.
- The findings provide novel insights into the genetic basis of kidney disease, linking genetic risk to RNA modification and suggesting potential therapeutic avenues.
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