The causal associations of circulating lipids with Barrett's Esophagus and Esophageal Cancer: a bi-directional, two sample mendelian randomization analysis

• Published in: Human genomics 2024-04, Vol.18 (1), p.37-7, Article 37
• Main Authors: Li, Baofeng, Li, Meng, Qi, Xiao, Tong, Ti, Zhang, Guangxin
• Format: Article
• Language: English
• Subjects: Barrett Esophagus - genetics; Barrett's Esophagus; Biobanks; Body mass index; Causality; Cholesterol; Circulating lipid; Confounding (Statistics); Datasets; Esophageal Cancer; Esophageal Neoplasms - genetics; Gastroesophageal reflux; Genome-Wide Association Study; High density lipoprotein; Humans; Lipids; Low density lipoprotein; Medical prognosis; Mendelian randomization; Mendelian Randomization Analysis; Metabolic disorders; Metabolic syndrome; Pleiotropy; Reproducibility of Results; Risk factors; Sensitivity analysis; Single-nucleotide polymorphism; Statistical analysis; Statistical power; Triglycerides; Variables
• ISSN: 1479-7364; 1473-9542; 1479-7364
• DOI: 10.1186/s40246-024-00608-6

The causal associations of circulating lipids with Barrett's Esophagus (BE) and Esophageal Cancer (EC) has been a topic of debate. This study sought to elucidate the causality between circulating lipids and the risk of BE and EC. We conducted two-sample Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) of circulating lipids (n = 94,595 - 431,167 individuals), BE (218,792 individuals), and EC (190,190 individuals) obtained from the publicly available IEU OpenGWAS database. The robustness and reliability of the results were ensured by employing inverse-variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO methods. The presence of horizontal pleiotropy, heterogeneities, and stability of instrumental variables were assessed through MR-Egger intercept test, Cochran's Q test, and leave-one-out sensitivity analysis. Additionally, bidirectional MR and multivariable MR (MVMR) were performed to explore reverse causality and adjust for known confounders, respectively. None of the testing methods revealed statistically significant horizontal pleiotropy, directional pleiotropy, or heterogeneity. Univariate MR analyses using IVW indicated a robust causal relationship between increased triglycerides and BE (odds ratio [OR] = 1.79, p-value = 0.009), while no significant association with EC was observed. Inverse MR analysis indicated no evidence of reverse causality in the aforementioned outcomes. In MVMR analyses, elevated triglycerides (TRG) were significantly and positively associated with BE risk (OR = 1.79, p-value = 0.041). This MR study suggested that genetically increased triglycerides were closely related to an elevated risk of BE, potentially serving as a biomarker for the diagnosis of BE in the future.