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Association between chronic diseases, herpes zoster and postherpetic neuralgia: A two-sample Mendelian randomization
Shuwei Luan1, Jingjing Nan2, Liang Kong3
1Department of Pharmacy, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Abstract:
Herpes zoster (HZ) and postherpetic neuralgia (PHN) are more common in immunocompromised individuals. This study aimed to explore potential associations between chronic diseases and HZ and PHN using a 2-sample Mendelian randomization (MR) approach. Genome-wide significant (P < 5 × 10-8) and independent (r2 <0.001) single-nucleotide polymorphisms (SNPs) from published genome-wide association studies consortia were selected as instrumental variables. Exposure SNPs were obtained from MRC-IEU and FinnGen databases, including obesity (N = 13,848), type 2 diabetes (N = 298,957), and ischemic stroke (N = 484,121). Outcome data for HZ (2080 cases/213,936 controls) and PHN (144 cases/195,191 controls) were obtained from FinnGen. SNPs were assessed for strength, horizontal pleiotropy, and heterogeneity. MR results were primarily based on inverse-variance weighted (IVW) analysis and expressed as odds ratios (ORs) with 95% confidence intervals. Genetically predicted ischemic stroke (IVW: OR = 1.420 [95% CI: 1.044-1.933], P = .0256, false discovery rate (FDR)-corrected P = .0312) increased the risk of HZ. Similarly, obesity (IVW: OR = 1.851 [95% CI: 1.058-3.239], P = .0311, FDR-corrected P = .0375) and type 2 diabetes (IVW: OR = 1.685 [95% CI: 1.023-2.775], P = .0404, FDR-corrected P = .0493) were associated with an increased risk of PHN. No significant associations were observed for other chronic diseases, such as hypertension with HZ (OR = 0.82, 95% CI: 0.47-1.44) and rheumatoid arthritis with PHN (OR = 0.87, 95% CI: 0.71-1.08). This study suggests potential associations between ischemic stroke and HZ, as well as obesity/type 2 diabetes and PHN. However, these findings should be interpreted with caution, given the limited statistical power, potential outcome misclassification, and small sample size for PHN analysis.
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