ArticleBMC genomics2011
Genetic copy number variants in myocardial infarction patients with hyperlipidemia.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 43 citations in OpenAlex.
- DISC1 Orchestrates Mitochondrial Calcium Overload in Diabetic Encephalopathy Through a Dual Nucleocytoplasmic Mechanism.Biomolecules · 2026Article
- Unravelling the genetic architecture of cardiovascular disease through structural variant detection with whole-genome sequencing.Frontiers in genetics · 2026Review
- Proteomic machine-learning signatures associated with carotid plaque: A population-based hypothesis-generating study.PloS one · 2026Article
- Unveiling the Genetic Landscape of Coronary Artery Disease Through Common and Rare Structural Variants.Journal of the American Heart Association · 2025Article
- Article
- Circulating virome and inflammatory proteome in patients with ST-elevation myocardial infarction and primary ventricular fibrillation.Scientific reports · 2022Article
- Mitochondrial DNA Content Is Linked to Cardiovascular Disease Patient Phenotypes.Journal of the American Heart Association · 2021Article
- Class II PI3Ks at the Intersection between Signal Transduction and Membrane Trafficking.Biomolecules · 2019Review
- Genome-Wide Copy Number Variation Association Study of Atrial Fibrillation Related Thromboembolic Stroke.Journal of clinical medicine · 2019Article
- Perspective: DNA Copy Number Variations in Cardiovascular Diseases.Epigenetics insights · 2018Review
- Genomic structural variations for cardiovascular and metabolic comorbidity.Scientific reports · 2017Article
- Genome-wide screening identifies a KCNIP1 copy number variant as a genetic predictor for atrial fibrillation.Nature communications · 2016Article
- BIOFILTER AS A FUNCTIONAL ANNOTATION PIPELINE FOR COMMON AND RARE COPY NUMBER BURDEN.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016Article
- Gene Expression Signatures and the Spectrum of Coronary Artery Disease.Journal of cardiovascular translational research · 2015Review
- CDH13 promoter SNPs with pleiotropic effect on cardiometabolic parameters represent methylation QTLs.Human genetics · 2015Article
- Article
- Genome-wide association studies identified novel loci for non-high-density lipoprotein cholesterol and its postprandial lipemic response.Human genetics · 2014Article
- Cardiometabolic effects of adiponectin.Best practice & research. Clinical endocrinology & metabolism · 2014Review
- Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiovascular disease is the chief cause of death in Taiwan and many countries, of which myocardial infarction (MI) is the most serious condition. Hyperlipidemia appears to be a significant cause of myocardial infarction, because it causes atherosclerosis directly. In recent years, copy number variation (CNV) has been analyzed in genomewide association studies of complex diseases. In this study, CNV was analyzed in blood samples and SNP arrays from 31 myocardial infarction patients with hyperlipidemia.
resultsWe identified seven CNV regions that were associated significantly with hyperlipidemia and myocardial infarction in our patients through multistage analysis (P<0.001), at 1p21.3, 1q31.2 (CDC73), 1q42.2 (DISC1), 3p21.31 (CDCP1), 10q11.21 (RET) 12p12.3 (PIK3C2G) and 16q23.3 (CDH13), respectively. In particular, the CNV region at 10q11.21 was examined by quantitative real-time PCR, the results of which were consistent with microarray findings.
conclusionsOur preliminary results constitute an alternative method of evaluating the relationship between CNV regions and cardiovascular disease. These susceptibility CNV regions may be used as biomarkers for early-stage diagnosis of hyperlipidemia and myocardial infarction, rendering them valuable for further research and discussion.
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