Osteoporosis and osteoarthritis: a bi-directional Mendelian randomization study

孟德尔随机化 医学 股骨颈 内科学 骨质疏松症 骨关节炎 骨矿物 肿瘤科 生物信息学 遗传学 病理 基因 生物 基因型 替代医学 遗传变异
作者
Yudun Qu,Shibo Chen,Man Chung Han,Z. Gu,Yujie Zhang,Tianxiang Fan,Muhui Zeng,Guangfeng Ruan,Peihua Cao,Qian Yang,Changhai Ding,Yan Zhang,Zhaohua Zhu
出处
期刊:Arthritis Research & Therapy [Springer Nature]
卷期号:25 (1)
标识
DOI:10.1186/s13075-023-03213-5
摘要

Abstract Objective To investigate the causal relationship between low bone mineral density (BMD) and osteoarthritis (OA) using Mendelian randomization (MR) design. Methods Two-sample bi-directional MR analyses were performed using summary-level information on OA traits from UK Biobank and arcOGEN. Sensitivity analyses including MR-Egger, simple median, weighted median, MR pleiotropy residual sum, and outlier approaches were utilized in conjunction with inverse variance weighting (IVW). Gene ontology (GO) enrichment analyses and expression quantitative trait locus (eQTL) colocalization analyses were used to investigate the potential mechanism and shared genes between osteoporosis (OP) and OA. Results The IVW method revealed that genetically predicted low femoral neck BMD was significantly linked with hip ( β = 0.105, 95% CI: 0.023–0.188) and knee OA ( β = 0.117, 95% CI: 0.049–0.184), but not with other site-specific OA. Genetically predicted low lumber spine BMD was significantly associated with OA at any sites ( β = 0.048, 95% CI: 0.011–0.085), knee OA ( β = 0.101, 95% CI: 0.045–0.156), and hip OA ( β = 0.150, 95% CI: 0.077–0.224). Only hip OA was significantly linked with genetically predicted reduced total bone BMD ( β = 0.092, 95% CI: 0.010–0.174). In the reverse MR analyses, no evidence for a causal effect of OA on BMD was found. GO enrichment analysis and eQTL analysis illustrated that DDN and SMAD-3 were the most prominent co-located genes. Conclusions These findings suggested that OP may be causally linked to an increased risk of OA, indicating that measures to raise BMD may be effective in preventing OA. More research is required to determine the underlying processes via which OP causes OA.
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