臀肌腱炎、原发性髋关节病可能导致髂胫束综合征—一项孟德尔随机化研究

doi:10.12122/j.issn.1673-4254.2024.09.23

摘要/Abstract

摘要：

目的利用孟德尔随机化方法，分析臀肌腱炎、原发性髋关节病与髂胫束综合征发生的潜在因果关系。方法利用已知臀肌腱炎、原发性髋关节病及髂胫束综合征的GWAS数据，筛选出高相关性单核苷酸多态性（SNPs），采用随机效应逆方差加权法（IVW）、MR-Egger回归和加权中位数法进行MR分析，判断臀肌腱炎及原发性髋关节病和髂胫束综合征是否存在因果关系，并通过异质性检验、多效性检验及敏感性分析、临床数据验证分析结果的可靠性。结果臀肌腱炎与髂胫束综合征呈显著正相关［IVW：OR（95% CI）=1.32（1.03~1.68），P=0.026］。原发性髋关节病与髂胫束综合征呈显著正相关［IVW：OR（95% CI）=1.40（1.06~1.84），P=0.017］。结论臀肌腱炎及原发性髋关节病可能增加髂胫束综合征的发病风险。

关键词: 臀肌腱炎, 原发性髋关节病, 髂胫束综合征, 孟德尔随机化

Abstract:

Objective To analyze the causal relationship of gluteal tendinitis and primary coxarthrosis with the occurrence of iliotibial band syndrome using Mendelian randomization. Methods The GWAS data of gluteal tendinitis, primary coxarthrosis and iliotibial band syndrome were screened for high correlation single-nucleotide polymorphisms (SNPs). Mendelian randomization analysis was performed using random-effects inverse variance weighting (IVW), MR-Egger regression, and weighted median method to determine whether gluteal tendinitis and primary coxarthrosis were causally related with iliotibial band syndrome. Heterogeneity test, multiple validity test and sensitivity analysis, and clinical data analysis were used to verify the reliability of the results. Results Both gluteal tendinitis [IVW: OR(95% CI)=1.32 (1.03-1.68), P=0.026] and primary coxarthrosis [IVW:OR (95% CI)=1.40 (1.06-1.84), P=0.017] was positively correlated with iliotibial band syndrome. Conclusion Gluteal tendinitis and primary coxarthrosis may increase the risk of iliotibial band syndrome.

Key words: gluteal tendonitis, primary coxarthrosis, iliotibial band syndrome, Mendelian randomization

姚辰, 李文佳, 庞瑞明, 周继红. 臀肌腱炎、原发性髋关节病可能导致髂胫束综合征—一项孟德尔随机化研究[J]. 南方医科大学学报, 2024, 44(9): 1821-1830.

Chen YAO, Wenjia LI, Ruiming PANG, Jihong ZHOU. Gluteal tendinitis and primary coxarthrosis may lead to iliotibial band syndrome: a Mendelian randomization study[J]. Journal of Southern Medical University, 2024, 44(9): 1821-1830.

图/表 13

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SNPs	CHR	POS	EA	OA	EAF	BETA	SE	P
rs145759079	6	18249568	C	T	0.044	0.467	0.103	6.07E-06
rs11886188	8	35063675	C	T	0.103	0.330	0.072	5.04E-06
rs1374441	19	148801056	A	G	0.777	-0.259	0.055	2.14E-06
rs73008633	25	5337676	A	G	0.088	0.356	0.077	3.83E-06
rs1511351	34	24195143	A	G	0.978	-0.605	0.135	6.86E-06
rs138650211	45	108684970	C	T	0.020	0.66	0.143	3.91E-06
rs117753069	84	68563665	A	G	0.073	0.367	0.083	9.19E-06
rs149577837	91	81617985	G	A	0.004	1.211	0.261	3.57E-06
rs181995618	148	49814156	A	G	0.014	-1.60	0.320	5.30E-07
rs12595397	153	69339657	T	C	0.729	-0.246	0.052	2.32E-06

SNPs	CHR	POS	EA	OA	EAF	BETA	SE	P
rs145759079	6	18249568	C	T	0.044	0.467	0.103	6.07E-06
rs11886188	8	35063675	C	T	0.103	0.330	0.072	5.04E-06
rs1374441	19	148801056	A	G	0.777	-0.259	0.055	2.14E-06
rs73008633	25	5337676	A	G	0.088	0.356	0.077	3.83E-06
rs1511351	34	24195143	A	G	0.978	-0.605	0.135	6.86E-06
rs138650211	45	108684970	C	T	0.020	0.66	0.143	3.91E-06
rs117753069	84	68563665	A	G	0.073	0.367	0.083	9.19E-06
rs149577837	91	81617985	G	A	0.004	1.211	0.261	3.57E-06
rs181995618	148	49814156	A	G	0.014	-1.60	0.320	5.30E-07
rs12595397	153	69339657	T	C	0.729	-0.246	0.052	2.32E-06

SNPs	CHR	POS	EA	OA	EAF	BETA	SE	P
rs10763007	10	53809803	T	A	0.243	-0.055	0.012	9.40E-06
rs10843013	12	27872263	C	A	0.197	0.105	0.013	6.59E-16
rs10846653	12	124313540	G	A	0.333	0.076	0.011	6.68E-12
				……
rs9485587	6	96048819	G	T	0.195	0.064	0.013	1.24E-06
rs9919834	13	40678828	G	A	0.087	-0.129	0.019	1.99E-11
rs9990056	3	112764617	A	G	0.530	-0.047	0.011	7.40E-06

SNPs	CHR	POS	EA	OA	EAF	BETA	SE	P
rs10763007	10	53809803	T	A	0.243	-0.055	0.012	9.40E-06
rs10843013	12	27872263	C	A	0.197	0.105	0.013	6.59E-16
rs10846653	12	124313540	G	A	0.333	0.076	0.011	6.68E-12
				……
rs9485587	6	96048819	G	T	0.195	0.064	0.013	1.24E-06
rs9919834	13	40678828	G	A	0.087	-0.129	0.019	1.99E-11
rs9990056	3	112764617	A	G	0.530	-0.047	0.011	7.40E-06

Method	nSNP	BETA	SE	OR	95% CI	P
MR-Egger	10	0.289	0.241	1.335	0.83-2.14	0.264
Weighted median	10	0.254	0.166	1.290	0.92-1.80	0.126
Inverse variance weighted	10	0.276	0.124	1.318	1.03-1.68	0.026