Integrative multi-omics analyses identify PKD1 and SLC2A4 as genetically supported glycolysis-related candidate genes for rheumatoid arthritis
Xinyu A, Pengfei Xin, Lin Zheng, Bo Xu, Jianye Wang, Songtao Sun, Jun Xie, Chenxin Gao, Peijun Pan, Guowei Qiu, Lang Jin, Jun Shen, Xirui Xu, Yiwei Cheng, Shaoqiang Pei, Lei Ran, Yanqin Bian, Lianbo Xiao

TL;DR
This study identifies PKD1 and SLC2A4 as key glycolysis-related genes linked to rheumatoid arthritis through genetic and epigenetic analyses.
Contribution
The study introduces an integrative multi-omics MR framework to identify glycolysis-related genes with epigenetic regulation in RA.
Findings
PKD1 and SLC2A4 show consistent evidence across methylation, expression, and GWAS datasets for RA susceptibility.
Hypomethylation at specific CpG sites in PKD1 and SLC2A4 is associated with increased gene expression and RA risk.
qPCR validation confirmed elevated PKD1 and SLC2A4 mRNA levels in RA patients compared to healthy controls.
Abstract
Glycolytic reprogramming has been implicated in rheumatoid arthritis (RA) pathogenesis, yet the underlying causal genes and epigenetic mechanisms remain unclear. This study aimed to systematically identify glycolysis-related genes and their methylation-regulated expression that may causally influence RA susceptibility. We conducted a multi-omics Mendelian randomization (MR) analysis integrating genome-wide association study (GWAS) summary statistics for RA (FinnGen, UK Biobank, GCST90129453) with quantitative trait loci (QTLs) for blood-derived methylation (mQTL), expression (eQTL), and protein abundance (pQTL). Summary-data-based Mendelian randomization (SMR) and colocalization analyses were used to identify causal molecular signatures linking DNA methylation, gene expression, and protein abundance with RA risk. Replication was performed in independent RA cohorts. In addition, qPCR…
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Taxonomy
TopicsRheumatoid Arthritis Research and Therapies · Genetic Associations and Epidemiology · Genomics and Rare Diseases
