Coronary Heart Disease and Biomarkers and Its Clinical Application
Guodong Wang, Jungang Zhang, Aiyuan Zhang
Journal of Advances in Medicine and Medical Research · pp. 1–8 · Published 23 Aug 2015
10.9734/BJMMR/2015/19089Abstract
Cardiovascular disease is a major health concern globally. Genetic testing is an attractive tool for cardiovascular disease prediction because it is a low-cost, high-fidelity technology with multiplex capability. Developments in genomic discovery have yielded valuable new candidates in the quest for better biomarkers and novel therapeutic targets. This brief review focuses on recent trends in biomarkers of cardiovascular disease. DNA microarrays, single nucleotide polymorphism chips, linkage analysis, genome-wide association studies, and other strategies have increased our knowledge of metabolic diseases of the heart. This review also examines the potential applications and challenges of using genetic information for predicting cardiovascular disease.
Cited by 0
No indexed citations yet.
Related research
- Some Haematological and Haemostatic Indexes in Young Semi-vegetarians in Sub-Sahara Africa — shares topic coverage
- Trans Fatty Acids: Replacement Technologies in Food — shares topic coverage
- Relationship of Visceral Obesity and BMI with Blood Pressure among Osun State College of Education Staff, Nigeria — shares topic coverage
- Effects of Glibenclamide and Glimepiride Compared in Type II DM Patients in Accordance with Lipid Parameters, ESF and Glycated Haemoglobin — shares topic coverage
- Loranthus micranthus Leaves Extract Attenuates Risk Factors of Cardiovascular Disease in Fructose Fed Rats — shares topic coverage
Article metrics
Real usage data collected on this platform.
6
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.