Objective:To analyze the correlation between the prevalence of osteoporosis(OP)and osteoarthritis(OA)from the genetic perspective based on Mendelian randomization analysis(MR).Methods:Single nucleotide polymorphism sites(SNPs)were used as instrumental variables to analyze potential causal relationships between exposure factors and outcome factors.The causal relationship between OP and OA in morbidity was analyzed by MR Method.Inverse variance weighting,MR-Egger regression and weighted median method were used to calculate the causal association between OP and OA in terms of morbidity.Results:When bone mineral density(BMD)level was used as exposure dataset and OA as outcome dataset,there was a positive causal effect between BMD level and OA(OR=1.00,95％CI:1.00-1.01,P=2.00 ×10-4＜0.01).When OA was used as exposure dataset and BMD level as outcome dataset,there was a negative causal effect between them(OR＜1.00,P＜0.01).MR analysis results of BMD level and OA in different parts showed:In the positive MR analysis,only when forearm bone density level(FA-BMD)was used as exposure dataset and knee arthritis(KOA)as outcome dataset,there was a negative causal effect between BMD level and OA(OR=1.14,95％CI:1.08-1.19,P＜0.01);In reverse MR analysis,there was no statistical correlation between OA and OP(OR=1.14,95％CI:1.08-1.19,P＞0.05);The relationship between OA and OP was affected by the site of disease.Conclusion:Elevated BMD level may increase the risk of OA.There may be a negative correlation between OP and OA in terms of incidence,meaning that OP patients have a lower probability of developing OA.
关键词
骨质疏松症/骨关节炎/骨密度/孟德尔随机化
Key words
osteoporosis/osteoarthritis/bone mineral density/Mendelian randomization
维普
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