Gastroesophageal reflux disease (GERD) is commonly associated with atopic disorders, but cause-effect relationships remain unclear. We applied Mendelian randomization analysis to explore whether GERD is causally related to atopic disorders of the lung (asthma) and/or skin (atopic dermatitis [AD]). We conducted two-sample bidirectional Mendelian randomization to infer the magnitude and direction of causality between asthma and GERD, using summary statistics from the largest genome-wide association studies conducted on asthma ( = 56,167) and GERD ( = 71,522). In addition, we generated instrumental variables for AD from the latest population-level genome-wide association study meta-analysis ( = 22,474) and assessed their fidelity and confidence of predicting the likely causal pathway(s) leading to asthma and/or GERD. Applying three different methods, each method revealed similar magnitude of causal estimates that were directionally consistent across the sensitivity analyses. Using an inverse variance-weighted method, the largest effect size was detected for asthma predisposition to AD (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.34-1.59), followed by AD to asthma (OR, 1.34; 95% CI, 1.24-1.45). A significant association was detected for genetically determined asthma on risk of GERD (OR, 1.06; 95% CI, 1.03-1.09) but not genetically determined AD on GERD. In contrast, GERD equally increased risks of asthma (OR, 1.21; 95% CI, 1.09-1.35) and AD (OR, 1.21; 95% CI, 1.07-1.37). This study uncovers previously unrecognized causal pathways that have clinical implications in European-ancestry populations: ) asthma is a causal risk for AD, and ) the predisposition to AD, including asthma, can arise from specific pathogenic mechanisms manifested by GERD.
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http://dx.doi.org/10.1164/rccm.202205-0951OC | DOI Listing |
Medicine (Baltimore)
January 2025
The First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
This study aimed to evaluate the causal effects of different immune cells on heart failure (HF) using Mendelian randomization (MR). Datasets for immune cell phenotypes and HF were obtained from European Bioinformatics Institute and FinnGen. Then, single nucleotide polymorphisms were screened according to the basic assumptions of MR.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Urology, Mindong Hospital Affiliated to Fujian Medical University, Fuan, Fujian, China.
Previous studies have suggested an association between autoimmune diseases (AIDs) and the risk of prostate cancer (PCa). However, the causal relationship between AID and PCa remained unclear. The purpose of this study was to investigate the causal association between 3 common AIDs, including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and ankylosing spondylitis (AS), and the risk of PCa.
View Article and Find Full Text PDFInt J Environ Health Res
January 2025
Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
J Bone Miner Metab
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Department of Orthopedic Surgery, Chongqing Emergency Medical Center (Chongqing University Central Hospital), Jiankang Road 1, Chongqing, 400010, China.
Introduction: Numerous observational studies have identified a link between osteoporosis and stroke. However, the causal genetic relationship between these conditions remains unclear. This study employs a two-sample bidirectional Mendelian randomization (MR) approach to ascertain the causal relationship between osteoporosis and stroke.
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January 2025
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Inflammatory bowel disease (IBD) with the two predominant endophenotypes-Crohn's disease (CD) and ulcerative colitis (UC)-represents a group of chronic gastrointestinal inflammatory conditions. Since most genetic associations with IBD are often limited to independent subtypes, we reported a genome-wide association study (GWAS) cross-trait analysis combined with CD and UC to enhance statistical power. Initially, we detected 256 association signals at 54 genomic susceptibility loci and further characterized the functionality of variants within these regions.
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