ArticleScientific reports2020
A study of associations between CUBN, HNF1A, and LIPC gene polymorphisms and coronary artery disease.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Common Single Nucleotide Polymorphisms in Clinical Cardiology and Dietary Intervention: A Narrative Review.Nutrients · 2026Review
- Genome-wide association study of periodontitis severity and progression.Journal of periodontology · 2026Article
- Genetic Associations of Plasminogen Activator Inhibitor-1-Related miRNA Variants with Coronary Artery Disease.International journal of molecular sciences · 2024Article
- Clinical implications of genetic polymorphisms in blepharospasm.Experimental and therapeutic medicine · 2024Article
- Association ofFrontiers in neurology · 2023Article
- Identification of recurrent variants implicated in disease in bicuspid aortic valve patients through whole-exome sequencing.Human genomics · 2022Article
- HNF1A：From Monogenic Diabetes to Type 2 Diabetes and Gestational Diabetes Mellitus.Frontiers in endocrinology · 2022Review
- The Synergistic Effect of Plasminogen Activator Inhibitor-1 (PAI-1) Polymorphisms and Metabolic Syndrome on Coronary Artery Disease in the Korean Population.Journal of personalized medicine · 2020Article
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9 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to identify novel genetic markers related to coronary artery disease (CAD) using a whole-exome sequencing (WES) approach and determine any associations between the selected gene polymorphisms and CAD prevalence. CUBN, HNF1A and LIPC gene polymorphisms related to CAD susceptibility were identified using WES screening. Possible associations between the five gene polymorphisms and CAD susceptibility were examined in 452 CAD patients and 421 control subjects. Multivariate logistic regression analyses indicated that the CUBN rs2291521GA and HNF1A rs55783344CT genotypes were associated with CAD (GG vs. GA; adjusted odds ratio [AOR] = 1.530; 95% confidence interval [CI] 1.113-2.103; P = 0.002 and CC vs. CT; AOR = 1.512; 95% CI 1.119-2.045; P = 0.007, respectively). The CUBN rs2291521GA and HNF1A rs55783344CT genotype combinations exhibited a stronger association with CAD risk (AOR = 2.622; 95% CI 1.518-4.526; P = 0.001). Gene-environment combinatorial analyses indicated that the CUBN rs2291521GA, HNF1A rs55783344CT, and LIPC rs17269397AA genotype combination and several clinical factors (fasting blood sugar (FBS), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels) were associated with increased CAD risk. The CUBN rs2291521GA, HNF1A rs55783344CT, and LIPC rs17269397AA genotypes in conjunction with abnormally elevated cholesterol levels increase the risk of developing CAD. This exploratory study suggests that polymorphisms in the CUBN, HNF1A, and LIPC genes can be useful biomarkers for CAD diagnosis and treatment.
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