Abstract: Mendelian randomization analysis is a data analysis technique used to evaluate etiological inference in epidemiological studies. It uses genetic variation strongly correlated with disease-related exposure factors as instrumental variables to evaluate the causal relationship between disease exposure factors and outcomes, aiming to reduce the interference of confounding factors and improve the accuracy of causal inference. There is a causal relationship between osteonecrosis and inflammatory cytokines, immunocyte phenotype, telomere length, intestinal flora and micronutrients, while there is no causal relationship between diabetes and osteonecrosis. This can more accurately reveal the etiology and pathogenesis of osteonecrosis in clinical practice, and provide new ideas and directions for the prevention and treatment of osteonecrosis. The literature of Mendelian randomization analysis of osteonecrosis was extensively reviewed in recent years, and the causal association between osteonecrosis and inflammatory cytokines, immunocyte phenotype, telomere length, intestinal flora, micronutrients and diabetes was analyzed and summarized.

Key words: Mendelian randomization analysis, osteonecrosis, causality, risk factors

摘要： 孟德尔随机化分析是一种用于评估流行病学研究中病因推断的数据分析技术，它利用与疾病暴露因素强相关的遗传变异作为工具变量，评估暴露因素与结局之间因果关系的新流行病学研究方法，旨在减少混杂因素的干扰，提高因果推断的准确性。骨坏死与炎症因子、免疫细胞、端粒长度、肠道菌群及微量营养素之间存在因果关系，而糖尿病与骨坏死之间没有因果关系，这有助于更准确地揭示骨坏死的病因和发病机制，为骨坏死的预防和治疗提供新的思路和方向。本文综述近年国内外关于骨坏死的孟德尔随机化分析文献，分析总结骨坏死与炎症因子、免疫细胞、端粒长度、肠道菌群、微量营养素及糖尿病之间的因果关联。

关键词: 孟德尔随机化分析, 骨坏死, 因果关系, 危险因素