Damani Samir B, Topol Eric J
Division of Cardiovascular Diseases, Scripps Clinic, La Jolla, California 92037, USA.
J Am Coll Cardiol. 2007 Nov 13;50(20):1933-40. doi: 10.1016/j.jacc.2007.07.062. Epub 2007 Oct 29.
Coronary artery disease (CAD) remains the number one cause of death in industrialized countries despite our collective efforts to minimize attributable risk from known contributors to CAD such as hypertension, dyslipidemia, and smoking. In addition, clinical trials have consistently demonstrated a family history of coronary disease to be predictive for future cardiovascular events beyond that which would be explained by traditional risk factors. These findings support and have prompted widespread investigation into the genomic basis of CAD and myocardial infarction (MI). Recent advances in genotyping technology have allowed for easier identification and confirmation of susceptibility genes for complex traits across different cohorts via increased power of studies stemming from faster accrual of cases and control subjects and more precise genetic mapping. These technological advances have resulted in defining the genes contributing to a substantial or even majority of population-attributable risk for type 2 diabetes and age-related macular degeneration (AMD) cases. Similar progress in replicating novel susceptibility genes for CAD and specifically MI is now rapidly occurring, with a recent gene marker on chromosome 9p21 representing a highly significant and common variant susceptibility factor. With improved resequencing technology and better phenotypic characterization of our CAD cases and control subjects, we should achieve successes in gene identification and confirmation similar to diabetes and AMD, thereby allowing us to better quantify CAD risk earlier in life and institute more effective therapy reducing the individual propensity to develop CAD.
尽管我们共同努力将已知的冠状动脉疾病(CAD)危险因素(如高血压、血脂异常和吸烟)所致风险降至最低,但CAD仍是工业化国家的首要死因。此外,临床试验一直表明,冠心病家族史可预测未来心血管事件,其预测能力超出传统危险因素所能解释的范围。这些发现支持并促使人们广泛研究CAD和心肌梗死(MI)的基因组基础。基因分型技术的最新进展使得通过更快地积累病例和对照对象以及更精确的基因定位来提高研究效力,从而更容易在不同队列中识别和确认复杂性状的易感基因。这些技术进步已明确了导致2型糖尿病和年龄相关性黄斑变性(AMD)病例中相当一部分甚至大部分人群归因风险的基因。现在,在复制CAD尤其是MI的新型易感基因方面也正在迅速取得类似进展,9号染色体上的一个近期基因标记代表了一个高度显著且常见的变异易感因素。随着重测序技术的改进以及我们对CAD病例和对照对象进行更好的表型特征描述,我们应该能够在基因识别和确认方面取得与糖尿病和AMD类似的成功,从而使我们能够在生命早期更好地量化CAD风险,并制定更有效的治疗方法,降低个体患CAD的倾向。