ArticleBMC cancer2022
Mendelian randomization study of circulating lipids and biliary tract cancer among East Asians.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Associations between prediagnostic plasma metabolites and biliary tract cancer risk in the prospective UK Biobank cohort.American journal of epidemiology · 2025Article
- Causal relationship between bulimia nervosa and microstructural white matter: evidence from Mendelian randomization.Eating and weight disorders : EWD · 2025Article
- The causal associations of circulating lipids with Barrett's Esophagus and Esophageal Cancer: a bi-directional, two sample mendelian randomization analysis.Human genomics · 2024Article
- Article
- The causal relationship between genetically determined telomere length and meningiomas risk.Frontiers in neurology · 2023Article
- Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study.Frontiers in public health · 2022Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssociations of High-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, total cholesterol (CHL), and triglyceride (TRG) concentrations with risk of biliary tract cancer (BtC) were conflicting in observational studies. We aim to investigate the causal link between circulating lipids and BtC using genetic information.
methodsSingle nucleotide polymorphisms of the four circulating lipids (n = 34,421) and BtC (418 cases and 159,201 controls) were retrieved from two independent GWAS studies performed in East Asian populations. Two-sample univariate and multivariate Mendelian Randomization (MR) analyses were conducted to determine the causal link between circulating lipids and BtC.
resultsNo significant horizontal pleiotropy was detected for all circulating lipids according to the MR-PRESSO global test (P = 0.458, 0.368, 0.522, and 0.587 for HDL, LDL, CHL, and TRG, respectively). No significant evidence of heterogeneity and directional pleiotropy was detected by the Cochran's Q test and MR-Egger regression. Univariate MR estimates from inverse variance weighting method suggested that one standard deviation (1-SD) increase of inverse-normal transformed HDL (OR = 1.38, 95% CI 0.98-1.94), LDL (OR = 1.46, 95% CI 0.96-2.23), and CHL (OR = 1.34, 95% CI 0.83-2.16) were not significantly associated with BtC risk. Whereas 1-SD increase of inverse-normal transformed TRG showed a significantly negative association with BtC risk (OR = 0.48, 95% CI 0.31-0.74). In multivariate MR analyses including all the four lipid traits, we found that 1-SD increase of LDL and TRG was significantly associated with elevated (OR = 1.32, 95% CI 1.04-2.01) and decreased (OR = 0.54, 95% CI 0.42-0.68) risk of BtC, respectively.
conclusionCirculating lipids, particularly LDL and TRG, may have roles in the development of BtC. However, the results of this study should be replicated in MR with larger GWAS sample sizes for BtC.
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