scholarly journals Combination of microRNA expression profiling with genome-wide SNP genotyping to construct a coronary artery disease-related miRNA-miRNA synergistic network

2014 ◽  
Vol 8 (6) ◽  
pp. 297-307 ◽  
Author(s):  
Lin Hua ◽  
Hong Xia ◽  
Ping Zhou ◽  
Dongguo Li ◽  
Lin Li
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiling ◽  
Snp Genotyping ◽  
Microrna Expression ◽  
Genome Wide ◽  
Artery Disease

The Analysis of microRNA Expression Profiling for Coronary Artery Disease

Cardiology ◽  
2014 ◽  
Vol 127 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Kefei Li ◽  
Tao Zhang ◽  
Huimin Fan ◽  
Qinchuan Li ◽  
Wulf Ito ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiling ◽  
Microrna Expression ◽  
Artery Disease

scholarly journals Circulating microRNA expression profiling and bioinformatics analysis of dysregulated microRNAs of patients with coronary artery disease

Medicine ◽  
2018 ◽  
Vol 97 (27) ◽  
pp. e11428 ◽  
Author(s):  
Zhixiong Zhong ◽  
Jingyuan Hou ◽  
Qifeng Zhang ◽  
Wei Zhong ◽  
Bin Li ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiling ◽  
Bioinformatics Analysis ◽  
Microrna Expression ◽  
Circulating Microrna ◽  
Artery Disease

Associations of observational and genetically determined caffeine intake with coronary artery disease and diabetes

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Said ◽  
Y.J Van De Vegte ◽  
N Verweij ◽  
P Van Der Harst
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Mendelian Randomization ◽  
Cox Regression ◽  
Caffeine Intake ◽  
Uk Biobank ◽  
Genome Wide ◽  
Artery Disease ◽  
Genetically Determined

Abstract Background Caffeine is the most widely consumed psychostimulant and is associated with lower risk of coronary artery disease (CAD) and type 2 diabetes (T2D). However, whether these associations are causal remains unknown. Objectives This study aimed to identify genetic variants associated with caffeine intake, and to investigate possible causal links between genetically determined caffeine intake and CAD or T2D. Additionally, we aimed to replicate previous observational findings between caffeine intake and CAD or T2D. Methods Genome wide associated studies (GWAS) were performed on caffeine intake from coffee, tea or both in 407,072 UK Biobank participants. Identified variants were used in a two-sample Mendelian randomization (MR) approach to investigate evidence for causal links between caffeine intake and CAD in CARDIoGRAMplusC4D (60,801 cases; 123,504 controls) or T2D in DIAGRAM (26,676 cases; 132,532 controls). Observational associations were tested within UK Biobank using Cox regression analyses. Results Moderate observational caffeine intakes from coffee or tea were associated with lower risks of CAD or T2D compared to no or high intake, with the lowest risks at intakes of 120–180 mg/day from coffee for CAD (HR=0.77 [95% CI: 0.73–0.82; P<1e-16]), and 300–360 mg/day for T2D (HR=0.76 [95% CI: 0.67–0.86]; P=1.57e-5). GWAS identified 51 novel genetic loci associated with caffeine intake, enriched for central nervous system genes. In contrast to observational analyses, MR analyses in CARDIoGRAMplusC4D and DIAGRAM yielded no evidence for causal links between caffeine intake and the development of CAD or T2D. Conclusions MR analyses indicate caffeine intake might not protect against CAD or T2D, despite protective associations in observational analyses. Manhattan_plot_CaffeineIntake Funding Acknowledgement Type of funding source: None

scholarly journals Corrigendum: Genome-Wide Variants Associated With Longitudinal Survival Outcomes Among Individuals With Coronary Artery Disease

2021 ◽  
Vol 12 ◽  
Author(s):  
Jennifer R. Dungan ◽  
Xue Qin ◽  
Melissa Hurdle ◽  
Carol S. Haynes ◽  
Elizabeth R. Hauser ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Survival Outcomes ◽  
Genome Wide ◽  
Artery Disease
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