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RESEARCH LETTER
Association between gastroesophageal reflux disease and metabolic syndrome: a bidirectional two-sample Mendelian randomization analysis
1
Department of Gastroenterology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
2
Department of Digestive Endoscopy, Central Hospital of Dalian University of Technology, Dalian, Dalian, China
These authors had equal contribution to this work
Submission date: 2024-07-26
Final revision date: 2024-09-05
Acceptance date: 2024-09-25
Online publication date: 2024-10-22
Corresponding author
Zhijun Duan
Dalian Central Laboratory of Integrative Neuro-gastrointestinal Dynamics and Metabolism Related Diseases Prevention and Treatment, China
Dalian Central Laboratory of Integrative Neuro-gastrointestinal Dynamics and Metabolism Related Diseases Prevention and Treatment, China
KEYWORDS
TOPICS
ABSTRACT
Introduction:
The development of gastroesophageal reflux disease (GERD) may be influenced by metabolic syndrome (MetS) and its components, but the causal relationships remain unclear. This study employs Mendelian randomization (MR) to investigate the potential causal effects of MetS and its components on GERD risk.
Methods:
Genome-wide association study (GWAS) summary data were utilized to assess the causal effects of MetS and its components on GERD risk using univariable (UVMR) and multivariable MR (MVMR) analyses. The inverse-variance weighted (IVW) method served as the primary analytical approach.
Results:
UVMR analysis revealed significant associations between GERD risk and genetically predicted MetS and its components. Notably, MVMR analysis identified hypertension (OR (95% CI): 5.087 (3.109–8.324); p = 9.51E–11) and body mass index (BMI) [OR (95% CI): 2.103 (1.752–2.525); p = 1.60E–15) as key factors associated with GERD development.
Conclusions:
This study provides evidence of a genetically determined causal relationship between MetS, including its components, and the risk of developing GERD. These findings suggest potential targets for early intervention to reduce GERD risk.
The development of gastroesophageal reflux disease (GERD) may be influenced by metabolic syndrome (MetS) and its components, but the causal relationships remain unclear. This study employs Mendelian randomization (MR) to investigate the potential causal effects of MetS and its components on GERD risk.
Methods:
Genome-wide association study (GWAS) summary data were utilized to assess the causal effects of MetS and its components on GERD risk using univariable (UVMR) and multivariable MR (MVMR) analyses. The inverse-variance weighted (IVW) method served as the primary analytical approach.
Results:
UVMR analysis revealed significant associations between GERD risk and genetically predicted MetS and its components. Notably, MVMR analysis identified hypertension (OR (95% CI): 5.087 (3.109–8.324); p = 9.51E–11) and body mass index (BMI) [OR (95% CI): 2.103 (1.752–2.525); p = 1.60E–15) as key factors associated with GERD development.
Conclusions:
This study provides evidence of a genetically determined causal relationship between MetS, including its components, and the risk of developing GERD. These findings suggest potential targets for early intervention to reduce GERD risk.
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| ISSN: | 1734-1922 |
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