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甲状旁腺激素与骨关节炎风险之间的因果关系:一项孟德尔随机化研究

Causal Relationship Between Parathyroid Hormone and the Risk of Osteoarthritis: A Mendelian Randomization Study.

作者信息

Huang Guiwu, Zhong Yanlin, Li Wenchang, Liao Weiming, Wu Peihui

机构信息

Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China.

出版信息

Front Genet. 2021 Jul 26;12:686939. doi: 10.3389/fgene.2021.686939. eCollection 2021.

Abstract

BACKGROUND

Previous studies have demonstrated an inverse association between parathyroid hormone (PTH) and the risk of osteoarthritis (OA). However, it remains unknown whether such association reflects causality. We aimed to apply a Mendelian randomization (MR) approach to investigate the causal association between PTH and OA.

MATERIALS AND METHODS

We performed a two-sample MR analysis using summary statistics from 13 cohorts (PTH, = 29,155) and a recent genome-wide association study meta-analysis (OA, = 455,221) by the UK Biobank and Arthritis Research UK OA Genetics (arcOGEN). MR analyses were carried out mainly using the inverse-variance-weighted method. Sensitivity analyses were performed to test the robustness of the associations using the weighted median method, the MR-Egger method, and "leave-one-out" analysis. Analyses were performed again to test whether the associations remained statistically significant after excluding any outlier variants that were detected using the MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier) test.

RESULTS

Five single-nucleotide polymorphisms (SNPs) were selected as instrumental variables at the genome-wide significance threshold ( < 5 × 10). The causal effect between PTH and OA was genetically predicted using the inverse-variance-weighted method (odds ratio = 0.67, 95% confidence interval: 0.50-0.90; = 0.008). This result was borne out using the weighted median method (odds ratio = 0.73, 95% confidence interval: 0.60-0.90; = 0.004). The causality remained robust after discarding the outlier variants as well as SNPs associated with confounding factors.

CONCLUSION

MR analysis supported a potential causative relationship between decreased serum circulating PTH and a higher risk of hip and knee OA.

摘要

背景

既往研究已证实甲状旁腺激素(PTH)与骨关节炎(OA)风险之间存在负相关。然而,这种关联是否反映因果关系仍不清楚。我们旨在应用孟德尔随机化(MR)方法来研究PTH与OA之间的因果关联。

材料与方法

我们使用来自13个队列(PTH,n = 29,155)的汇总统计数据以及英国生物银行和英国关节炎研究OA遗传学(arcOGEN)最近的全基因组关联研究荟萃分析(OA,n = 455,221)进行了两样本MR分析。MR分析主要使用逆方差加权法进行。使用加权中位数法、MR-Egger法和“留一法”分析进行敏感性分析,以检验关联的稳健性。在排除使用MR-PRESSO(孟德尔随机化多效性残差和离群值)检验检测到的任何离群变异后,再次进行分析以检验关联是否仍具有统计学意义。

结果

在全基因组显著性阈值(P < 5×10⁻⁸)下,选择了5个单核苷酸多态性(SNP)作为工具变量。使用逆方差加权法对PTH与OA之间的因果效应进行遗传预测(优势比 = 0.67,95%置信区间:0.50 - 0.90;P = 0.008)。使用加权中位数法也证实了这一结果(优势比 = 0.73,95%置信区间:0.60 - 0.90;P = 0.004)。在舍弃离群变异以及与混杂因素相关的SNP后,因果关系仍然稳健。

结论

MR分析支持血清循环PTH降低与髋部和膝部OA风险较高之间存在潜在因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8476/8352559/b673906391b0/fgene-12-686939-g001.jpg

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