SynthesisPloS one2014
Association of three common single nucleotide polymorphisms of ATP binding cassette G8 gene with gallstone disease: a meta-analysis.
Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Screen-detected gallstone disease and cardiovascular disease.European journal of epidemiology · 2017Trial
- Association of ABCG5 and ABCG8 Transporters with Sitosterolemia.Advances in experimental medicine and biology · 2024Review
- Differential Effects ofGenes · 2023Article
- Gallbladder disease is associated with the risk of cardiovascular disease among Uyghurs in Xinjiang: a prospective cohort study.BMC public health · 2023Article
- Risk of gallstones based on ABCG8 rs11887534 single nucleotide polymorphism among Taiwanese men and women.BMC gastroenterology · 2021Article
- Sitosterolemia: Twenty Years of Discovery of the Function ofInternational journal of molecular sciences · 2021Review
- Association of Common Single Nucleotide Polymorphisms of Candidate Genes with Gallstone Disease: A Meta-Analysis.Indian journal of clinical biochemistry : IJCB · 2020Article
- Genes Potentially Associated with Familial Hypercholesterolemia.Biomolecules · 2019Review
- ABCG5/G8: a structural view to pathophysiology of the hepatobiliary cholesterol secretion.Biochemical Society transactions · 2019Review
- Distribution of the ATP-binding cassette transporter ABCG8 IVS1-2A>G genotype and clinical characteristics of gallbladder patients in Northeastern Mexico: A pilot study.Biomedical reports · 2018Article
- Gallstone disease and mortality: a cohort study.International journal of public health · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn this study, we evaluated the association between these polymorphisms and gallstone disease using meta-analysis and compared the hepatic ABCG5/G8 mRNA expression and biliary lipids composition in patients with different genotypes of T400K and Y54C.
methodsData were analyzed using the Stata/SE 11.0 software and a random- effects model was applied irrespective of between-study heterogeneity. Hepatic mRNA expression of ABCG5/G8 genes in 182 patients with gallstone disease and 35 gallstone-free patients who underwent cholecystectomy were determined using real-time PCR. Genotypes of Y54C and T400K in the ABCG8 gene were determined by allelic discrimination using either genomic DNA or hepatic cDNA as template by Taqman assays. Biliary compostion in gallbladder bile was assayed in these patients as well.
resultsTen papers including 13 cohorts were included for the final analysis. In the genotype model, the overall association between genotype with gallstone was significant for D19H (OR = 2.43, 95%CI: 2.23-2.64, P<0.001), and for Y54C (OR = 1.36, 95%CI: 1.01-1.83, P = 0.044), or T400K (OR = 1.17, 95%CI: 0.96-1.43. P = 0.110). In allele model, minor alleles of D19H polymorphism (allele D: OR = 2.25, 95%CI: 2.10-2.42, P<0.001) and of T400K polymorphism (allele K: OR = 1.18, 95%CI: 1.06-1.31, P<0.001) were related with an increased risk of gallstone disease. However, minor allele of Y54C polymorphism (allele Y, OR = 1.08, 95%CI: 0.96-1.21, P = 0.146) was not related with gallstone disease. I(2) statistics indicated no significant between-study heterogeneity for all genetic models for any of the three polymorphisms. Funnel plot and Egger's test suggested the absence of publication bias as well. However, no association of T400K and Y54C polymorphism with hepatic ABCG8/G5 mRNA expression or biliary lipids composition was found.
conclusionsOur study showed strong association of D19H polymorphism with gallstone disease. T400K and Y54C polymorphism, though to a less extent, may also relate with gallstone disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.