Causal relationship between non-Hodgkin lymphoma and chronic hepatitis B virus infection: a two-sample bidirectional Mendelian randomization analysis
10.3760/cma.j.cn115356-20240510-00063
- VernacularTitle:非霍奇金淋巴瘤与慢性乙型肝炎病毒感染因果关系的双样本双向孟德尔随机化分析
- Author:
Liangliang DONG
1
;
Yongjian HUANG
;
Jianqiang YE
;
Zilin NIAN
;
Lin YANG
;
Ting CHEN
;
Wenbin LIU
;
Qiuling ZHAO
;
Juming CHEN
;
Lijun LAI
;
Qin CHEN
Author Information
1. 福建医科大学肿瘤临床医学院 福建省肿瘤医院药剂科，福州 350011
- Keywords:
Lymphoma, non-Hodgkin;
Hepatitis B virus;
Mendelian randomization analysis;
Causality
- From:
Journal of Leukemia & Lymphoma
2025;34(2):85-91
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between non-Hodgkin lymphoma (NHL) and chronic hepatitis B virus (HBV) infection by using the method of two-sample bidirectional Mendelian randomization (MR) analysis.Methods:Genetic variation data for NHL came from the Finnish database (FinnGen) Consortium 2021 public genome-wide association study (GWAS) dataset including 1 088 patients with NHL and 299 952 control subjects. The GWAS dataset for chronic HBV infection was derived from GWAS analysis published in 2021, including 145 NHL patients and 351 740 control subjects. NHL was used as an exposure factor, single nucleotide polymorphism (SNP) significantly associated with NHL was used as an instrumental variable (IV), chronic HBV infection was used as an outcome variable. The two-sample MR analysis was performed by using inverse-variance weighted (IVW) method. Chronic HBV infection was taken as an exposure factor, SNP significantly associated with chronic HBV infection was taken as IV, and NHL was taken as outcome variable, and then reverse two-sample MR analysis was performed. The IVW method used the inverse variance of each IV as the weight to fit, and the ratio method was used to measure SNP one by one and make weighted regression analysis, so as to obtain the overall estimate. MR-Egger regression and the weighted median (WME) method were also used to supplement the IVW method. In sensitivity analysis, leave-one-out sensitivity analysis was used to evaluate the impact of a single SNP. Cochran Q test was used to analyze the heterogeneity of the selected IV. MR-Egger regression was used to measure the average horizontal pleiotropy of IV, and the P-value of directivity was calculated. The MR-pleiotropy residual sum and outlier (MR-PRESSO) Global Test was used to exclude possible horizontal pleiotropic outliers and reduce bias. Results:In the leave-one-out sensitivity analysis, SNP with significant effects on causal associations was excluded. In forward MR analysis, IVs were 10 SNPs associated with NHL; the IVW method indicated that there was no causal association between NHL and chronic HBV infection ( OR = 0.979, 95% CI: 0.925-1.036, P = 0.465). MR-Egger regression ( OR = 0.992, 95% CI: 0.926-1.062, P = 0.825) and WME method ( OR = 0.992, 95% CI: 0.934-1.055, P = 0.805) were used as supplementary methods to obtain the consistent results. In sensitivity analysis, Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.271, MR-Egger regression: P = 0.239). Horizontal pleiotropy was not found in the MR-Egger regression (intercept was -0.01, P = 0.778) and the MR-PRESSO Global Test ( P > 0.05), suggesting robust results. In the reverse MR analysis, IVs were 8 SNPs associated with NHL; the IVW method ( OR = 1.117, 95% CI: 0.942-1.324, P = 0.202) also found no significant causal relationship between chronic HBV infection and NHL; MR-Egger regression ( OR = 0.777, 95% CI: 0.450-1.343, P = 0.401) and WME method ( OR = 1.120, 95% CI: 0.887-1.415, P = 0.351) also showed similar risk estimates. Sensitivity analysis also suggested the consistency and reliability of the results. Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.775, MR-Egger regression: P = 0.903). Horizontal pleiotropy was not found by MR-Egger regression (intercept was 0.102, P = 0.548) and MR-PRESSO Global Test ( P > 0.05). Conclusions:MR analysis suggests no causal relationship between NHL and chronic HBV infection.
