Causal relationship between body mass index and osteoporosis: A Mendelian randomization study
10.3760/cma.j.cn311282-20230707-00300
- VernacularTitle:体重指数与骨质疏松症之间的因果关系：一项孟德尔随机化研究
- Author:
Chunrui REN
1
;
Jianfeng LIU
;
Xianglian AN
;
Dongliang YANG
;
Xiaoxiao DONG
Author Information
1. 承德医学院研究生学院，承德 067000
- Keywords:
Body mass index;
Osteoporosis;
Mendelian randomization
- From:
Chinese Journal of Endocrinology and Metabolism
2024;40(2):108-114
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the relationship between body mass index(BMI) and osteoporosis using Mendelian randomization analysis.Methods:The genetic variation strongly related to BMI was selected as the instrumental variables in the collection data set of the genome-wide association study(GWAS). The MR-Egger regression, weighted median estimator(WME), inverse variance weighted(IVW), simple mode and weighted mode were used for Mendelian randomization(MR) analysis. The causal association between BMI and osteoporosis was evaluated by odds ratio and 95% confidence interval. The MR-APSS method was applied to make the causal inference results based on MR more reliable. The Linkage disequilibrium score regression was applied to evaluate the genetic correlation, and the horizontal pleiotropy test, heterogeneity test, and leave-one-out method were used to evaluate whether the results were reliable, The influence of heterogeneity and horizontal pleiotropy were reduced by the MR-PRESSO outlier test.Results:A total of 421 SNPs were included, with inverse variance-weighted method as the main analysis approach. The calculated OR value and 95% CI were 0.994(95% CI 0.992-0.997), indicating a protective effect of BMI on osteoporosis. The MR-APSS method showed that the effect of BMI on osteoporosis was statistically significant. Linkage disequilibrium score regression demonstrated a genetic correlation between BMI and osteoporosis. MR-Egger regression intercept showed no horizontal pleiotropy of instrumental variables, and the funnel plot showed no bias in instrumental variables. Leave-one-out analysis confirmed robust results. Conclusion:There may be a negative causal relationship between BMI and osteoporosis and BMI is a protective factor for osteoporosis.
