Correlation between body mass index and risk of multiple myeloma: a two-sample Mendelian randomization study
10.3760/cma.j.cn115356-20250212-00018
- VernacularTitle:体质量指数与多发性骨髓瘤发病风险相关关系的双样本孟德尔随机化研究
- Author:
Fangshuo FENG
1
;
Lanting LIU
;
Lugui QIU
;
Mu HAO
Author Information
1. 中国医学科学院血液病医院（中国医学科学院血液学研究所） 血液与健康全国重点实验室 国家血液系统疾病临床医学研究中心 细胞生态海河实验室，天津 300020
- Keywords:
Multiple myeloma;
Body mass index;
Mendelian randomization
- From:
Journal of Leukemia & Lymphoma
2025;34(5):291-295
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation between body mass index (BMI) and the risk of multiple myeloma (MM).Methods:A two-sample Mendelian randomization (MR) analysis was utilized. The data were obtained from genome-wide association study (GWAS) datasets in the IEU OpenGWAS database. The dataset number for exposure factor BMI was ieu-a-2, involving 339 224 mixed populations (males and females) and containing 2 555 511 single nucleotide polymorphisms (SNP); the dataset number for outcome factor MM was ieu-b-4957, involving 372 617 European populations (601 MM patients and 372 016 healthy individuals), containing 8 615 746 SNP; the BMI and MM reference genomes were both HG19/GRCh37 provided by the Genetic Investigation of Anthropometric Traits (GIANT) collaborative organization. From dataset ieu-a-2, 79 SNP significantly associated with BMI were selected as instrumental variables ( F > 10), and then validated in the outcome factor dataset (ieu-b-4957), with missing SNP excluded, resulting in 76 retained instrumental variables. MR analyses were performed using the inverse variance weighted (IVW), MR-Egger regression, weighted median method, simple mode method, and weighted mode method. Sensitivity analyses were conducted using the Cochran Q test, MR-Egger regression intercept and leave-one-out approach. Results:IVW results showed a positive correlation between BMI and the risk of MM ( OR = 1.001, 95% CI: 1.000-1.002, P = 0.012), which was supported by the MR-Egger method ( OR = 1.003, 95% CI: 1.000-1.005, P = 0.022). The sensitivity analyses results showed that neither the MR-Egger intercept (intercept = -4.336×10 -5, P = 0.158) nor the heterogeneity test (IVW: Q = 82.02, P = 0.271) found significant heterogeneity or horizontal pleiotropy, indicating high robustness of the results. Conclusions:BMI may be a potential risk factor for the development of MM.
