Dataset Information

Causal associations between type 1 diabetes and COVID-19 infection and prognosis: a two-sample Mendelian randomization study.

ABSTRACT:

Introduction

It has been suggested that type 1 diabetes was associated with increased COVID-19 morbidity and mortality. However, their causal relationship is still unclear. Herein, we performed a two-sample Mendelian randomization (MR) to investigate the causal effect of type 1 diabetes on COVID-19 infection and prognosis.

Research design and methods

The summary statistics of type 1 diabetes were obtained from two published genome-wide association studies of European population, one as a discovery sample including 15 573 cases and 158 408 controls, and the other data as a replication sample consisting of 5913 cases and 8828 controls. We first performed a two-sample MR analysis to evaluate the causal effect of type 1 diabetes on COVID-19 infection and prognosis. Then, reverse MR analysis was conducted to determine whether reverse causality exists.

Results

MR analysis results showed that the genetically predicted type 1 diabetes was associated with higher risk of severe COVID-19 (OR=1.073, 95% CI: 1.034 to 1.114, p_FDR=1.15×10^-3) and COVID-19 death (OR=1.075, 95% CI: 1.033 to 1.119, p_FDR=1.15×10^-3). Analysis of replication dataset showed similar results, namely a positive association between type 1 diabetes and severe COVID-19 (OR=1.055, 95% CI: 1.029 to 1.081, p_FDR=1.59×10^-4), and a positively correlated association with COVID-19 death (OR=1.053, 95% CI: 1.026 to 1.081, p_FDR=3.50×10^-4). No causal association was observed between type 1 diabetes and COVID-19 positive, hospitalized COVID-19, the time to the end of COVID-19 symptoms in the colchicine treatment group and placebo treatment group. Reverse MR analysis showed no reverse causality.

Conclusions

Type 1 diabetes had a causal effect on severe COVID-19 and death after COVID-19 infection. Further mechanistic studies are needed to explore the relationship between type 1 diabetes and COVID-19 infection and prognosis.

SUBMITTER: Ma XL

PROVIDER: S-EPMC10276960 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Publications

Causal associations between type 1 diabetes and COVID-19 infection and prognosis: a two-sample Mendelian randomization study.

Ma Xin-Ling XL Shi Qi-Yun QY Zhao Qi-Gang QG Xu Qian Q Yan Shan-Shan SS Han Bai-Xue BX Fang Chen C Zhang Lei L Pei Yu-Fang YF

BMJ open diabetes research & care 20230601 3

<h4>Introduction</h4>It has been suggested that type 1 diabetes was associated with increased COVID-19 morbidity and mortality. However, their causal relationship is still unclear. Herein, we performed a two-sample Mendelian randomization (MR) to investigate the causal effect of type 1 diabetes on COVID-19 infection and prognosis.<h4>Research design and methods</h4>The summary statistics of type 1 diabetes were obtained from two published genome-wide association studies of European population, o ...[more]

PMID: 37311601

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Project description:BackgroundHelicobacter pylori (Hp) infection and metabolic syndrome (MetS) have a high prevalence of co-morbidities and both pose a significant threat to human health and survival. It has been suggested that Hp infection affects the development of MetS in the host, but the causal relationship between the two has not been confirmed.MethodsWe conducted a two-sample Mendelian randomization study to investigate the causal effect of Hp infection with MetS and its components. Summary statistics for exposure factors (Hp infection) were obtained from the GWAS Catalog (anti-Hp IgG, n = 8,735; Hp VacA antibody levels, n = 1,571; Hp GroEL antibody levels, n = 2,716; Hp OMP antibody levels, n = 2,640). Summary statistics for outcome factors (MetS) were obtained from the most comprehensive genome-wide association study (GWAS) currently available (n = 291,107) as well as from the components of MetS: fasting glucose (n = 46,186), hypertension (n = 461,880), serum triglycerides (n = 115,082), waist circumference (n = 21,949), and high-density lipoprotein (n = 400, 754). The inverse-variance weighted (IVW) method was used as the primary MR method and the robustness of the results was assessed through sensitivity analyses.ResultsMR analysis showed that anti-Hp IgG levels were positively correlated with waist circumference (β = 0.08, P = 0.012), and GroEL antibody levels showed an opposite correlation with HDL levels (β= -0.03, P = 0.025) and TG (β = 0.02, P = 0.045). In contrast, OMP antibodies levels were positively correlated with both HDL and FBG (β = 0.064, P = 0.037 and β = 0.09, P = 0.003). In the estimation of IVW as the main causal method, VacA antibody level was positively associated with hypertension level and negatively associated with TG (β = 0.02, P = 0.008 and β= -0.02, P = 0.007). Meanwhile, the results of sensitivity analyses showed no heterogeneity or significant level pleiotropy.ConclusionsOur study suggests that there is a causal effect between Hp infection and Mets diagnosis and its composition, and further studies are needed to understand the mechanism of its influence.

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Dataset Information

Causal associations between type 1 diabetes and COVID-19 infection and prognosis: a two-sample Mendelian randomization study.

Introduction

Research design and methods

Results

Conclusions

Publications

Causal associations between type 1 diabetes and COVID-19 infection and prognosis: a two-sample Mendelian randomization study.

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