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[1]王超逸,楊敬言,趙余煬,等.站立身高與椎間盤退變因果關系的孟德爾隨機化分析[J].中醫(yī)正骨,2024,36(04):55-61,65.
　WANG Chaoyi,YANG Jingyan,ZHAO Yuyang,et al.The causal relationship between standing height and intervertebral disc degeneration:a mendelian randomization analysis[J].The Journal of Traditional Chinese Orthopedics and Traumatology,2024,36(04):55-61,65.
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站立身高與椎間盤退變因果關系的孟德爾隨機化分析()
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《中醫(yī)正骨》[ISSN:1001-6015/CN:41-1162/R]

卷:
第36卷
期數:
2024年04期
頁碼:
55-61,65
欄目:
數據庫研究
出版日期:
2024-04-20

文章信息/Info

Title:
The causal relationship between standing height and intervertebral disc degeneration:a mendelian randomization analysis
作者:
王超逸; 楊敬言; 趙余煬; 黃仁俊; 馬涉; 于棟
北京中醫(yī)藥大學第三附屬醫(yī)院,北京 100029
Author(s):
WANG Chaoyi; YANG Jingyan; ZHAO Yuyang; HUANG Renjun; MA She; YU Dong
Beijing University of Chinese Medicine Third Affiliated Hospital,Beijing 100029,China
關鍵詞:
椎間盤退化;  站立身高;  孟德爾隨機化分析;  全基因組關聯研究
Keywords:
intervertebral disc degeneration;  standing height;  Mendelian randomization analysis;  genome-wide association study
摘要:
目的:探討站立身高和椎間盤退變的因果關系。方法:從IEU OpenGWAS project數據庫獲取站立身高的全基因組關聯研究(genome-wide association study,GWAS)數據集,篩選符合要求的單核苷酸多態(tài)性(single nucleotide polymorphism,SNP)位點作為工具變量; 從FINNGEN數據庫中獲取關于椎間盤退變的GWAS數據集,從中篩選與工具變量匹配的SNP位點作為結局變量。將工具變量與結局變量導入分析工具R包,采用逆方差加權法(Inverse variance weighted,IVW)、MR-Egger回歸、簡單中位數法(Simple mode,SM)、加權中值法(Weighted median estimator,WME)、加權中位數法(Weighted mode,WM)進行孟德爾隨機化(Mendelian randomization,MR)分析。采用MR-Egger截距檢驗、Cochran's Q檢驗、留一法進行敏感性分析。結果:MR分析結果顯示,站立身高與椎間盤退變呈正向因果關系[MR-Egger:OR=1.148,95%CI(0.942,1.401),P=0.174; WME:OR=1.220,95%CI(1.086,1.371),P=0.000; IVW:OR=1.113,95%CI(1.011,1.226),P=0.030; SM:OR=1.106,95%CI(0.837,1.462),P=0.479; WM:OR=1.234,95%CI(1.004,1.519),P=0.048]。MR-Egger截距檢驗結果表明,MR分析結果不存在水平多效性(P=0.726); 異質性檢驗結果顯示,站立身高SNP位點存在異質性(P=0.000); 采用IVW的隨機效應模型再次評估,結果顯示站立身高與椎間盤退變呈正向因果關系(P=0.000),異質性存在對結果無影響; 留一法檢驗結果顯示,MR分析結果穩(wěn)定。結論:站立身高與椎間盤退變呈正向因果關系。
Abstract:
Objective:To explore the causal relationship between standing height and intervertebral disc degeneration(IVDD).Methods:The genome-wide association study(GWAS)datasets about standing height was extracted from the IEU OpenGWAS project database,and the eligible single nucleotide polymorphism(SNP)loci were screened as instrumental variables; meanwhile,the GWAS datasets on IVDD was retrieved from the FINNGEN database,and the SNP loci matched with the instrumental variables were selected as the outcome variables.The instrumental variables and outcome variables were imported into an R package,and then a mendelian randomization(MR)analysis was conducted by using Inverse variance weighted(IVW),MR-Egger regression,Simple mode(SM),Weighted median estimator(WME)and Weighted mode(WM),and the sensitivity was examined via the MR-Egger intercept test,Cochran's Q test,and the leave-one-out(LOO)test.Results:The results of MR analysis showed a positive causal relationship between standing height and IVDD(MR-Egger:OR=1.148,95%CI(0.942,1.401),P=0.174; WME:OR=1.220,95%CI(1.086,1.371),P=0.000; IVW:OR=1.113,95%CI(1.011,1.226),P=0.030; SM:OR=1.106,95%CI(0.837,1.462),P=0.479; WM:OR=1.234,95%CI(1.004,1.519),P=0.048).The results of MR-Egger intercept test indicated that there was no horizontal pleiotropy in the MR analysis results(P=0.726).The results of heterogeneity test revealed that there was heterogeneity in SNP loci of standing height(P=0.000).A re-evaluation was performed by employing a random-effects model of IVW,and the results showcased that the standing height had a positive causal relationship with IVDD(P=0.000),suggesting heterogeneity in SNP loci of standing height having no impact on the MR analysis results.Furthermore,the LOO test suggested that the results of MR analysis were stable.Conclusion:Standing height exhibits a positive causal relationship with IVDD.

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備注/Memo

備注/Memo:
通訊作者:于棟 E-mail:[email protected]
更新日期/Last Update: 1900-01-01