Journal Article

Genetic correlation between smoking behavior and gastroesophageal reflux disease: insights from integrative multi-omics data

Yan, Zhaoqi, Liu, Liangji, Li, Keke, Xu, Yifeng

2024

Overview

Background Observational studies have preliminarily revealed an association between smoking and gastroesophageal reflux disease (GERD). However, little is known about the causal relationship and shared genetic architecture between the two. This study aims to explore their common genetic correlations by leveraging genome-wide association studies (GWAS) of smoking behavior—specifically, smoking initiation (SI), never smoking (NS), ever smoking (ES), cigarettes smoked per day (CPD), age of smoking initiation(ASI) and GERD. Methods Firstly, we conducted global cross-trait genetic correlation analysis and heritability estimation from summary statistics (HESS) to explore the genetic correlation between smoking behavior and GERD. Then, a joint cross-trait meta-analysis was performed to identify shared “pleiotropic SNPs” between smoking behavior and GERD, followed by co-localization analysis. Additionally, multi-marker analyses using annotation (MAGMA) were employed to explore the degree of enrichment of single nucleotide polymorphism (SNP) heritability in specific tissues, and summary data-based Mendelian randomization (SMR) was further utilized to investigate potential functional genes. Finally, Mendelian randomization (MR) analysis was conducted to explore the causal relationship between the smoking behavior and GERD. Results Consistent genetic correlations were observed through global and local genetic correlation analyses, wherein SI, ES, and CPD showed significantly positive genetic correlations with GERD, while NS and ASI showed significantly negative correlations. HESS analysis also identified multiple significantly associated loci between them. Furthermore, three novel “pleiotropic SNPs” (rs4382592, rs200968, rs1510719) were identified through cross-trait meta-analysis and co-localization analysis to exist between SI, NS, ES, ASI, and GERD, mapping the genes MED27, HIST1H2BO, MAML3 as new pleiotropic genes between SI, NS, ES, ASI, and GERD. Moreover, both smoking behavior and GERD were found to be co-enriched in multiple brain tissues, with GMPPB, RNF123, and RBM6 identified as potential functional genes co-enriched in Cerebellar Hemisphere, Cerebellum, Cortex/Nucleus accumbens in SI and GERD, and SUOX identified in Caudate nucleus, Cerebellum, Cortex in NS and GERD. Lastly, consistent causal relationships were found through MR analysis, indicating that SI, ES, and CPD increase the risk of GERD, while NS and higher ASI decrease the risk. Conclusion We identified genetic loci associated with smoking behavior and GERD, as well as brain tissue sites of shared enrichment, prioritizing three new pleiotropic genes and four new functional genes. Finally, the causal relationship between smoking behavior and GERD was demonstrated, providing insights for early prevention strategies for GERD.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Analysis / Animal Genetics and Genomics / Annotations / Biomedical and Life Sciences / Brain / Canada / Caudate nucleus / Cerebellum / Cigarettes / Correlation analysis / Diagnosis / Disease / Diseases / Enrichment / Estimates / Gastroesophageal reflux / Gastroesophageal Reflux - genetics / Gastroesophageal reflux disease / Gene loci / Gene mapping / Genes / Genetic analysis / Genetic aspects / Genetic correlation / Genetic Predisposition to Disease / Genetic research / Genome-wide association studies / Genome-Wide Association Study / Genomes / Genomics / Genotype & phenotype / Health aspects / Health behavior / Heritability / Humans / Life Sciences / Localization / Magma / Mendelian randomization / Mendelian Randomization Analysis / Meta-analysis / Microarrays / Microbial Genetics and Genomics / Multiomics / Nucleotides / Nucleus accumbens / Observational studies / Plant Genetics and Genomics / Pleiotropy / Polymorphism / Polymorphism, Single Nucleotide / Proteomics / Randomization / Single nucleotide polymorphisms / Single-nucleotide polymorphism / Smoking / Smoking - genetics / Smoking behavior / Statistical analysis / Statistical methods / Tobacco