Genetic Epidemiology Group, Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, UK.
Br Med Bull. 2012 Jun;102:59-77. doi: 10.1093/bmb/lds009. Epub 2012 May 9.
Coronary heart disease (CHD) is a leading cause of death worldwide, yet many areas of its pathogenesis remain unknown or poorly understood, leaving potential for novel preventive and therapeutic interventions. Recent major advances in genomic science and technology have opened new avenues of investigation in the pathogenesis of CHD, some of which are leading to clinical translation.
The published literature in CHD genetics has burgeoned in the last 5 years with the reporting of genome-wide association studies (GWASs) and many other findings.
Identification of many genetic variants with small effects on CHD risk has been a common finding. These have included several predicted loci, such as those involved in conventional CHD risk factors (e.g. plasma lipids) and many novel loci, where their mechanism of action is unclear. The need for large, collaborative approaches to research has also become clear and is now an accepted modus operandi.
The clinical utility of novel GWAS findings remains uncertain. In particular, the relative contribution of common variants of modest effect and rare variants of larger effects to risk of CHD or response to drugs is unclear.
As a greater number of larger GWASs are conducted in CHD and its related phenotypes, much effort is being made to find translational applications for their findings. Therapeutics, prediction and pathology are major areas of research endeavour.
冠心病 (CHD) 是全球范围内的主要死亡原因,但该病的发病机制仍有许多未知或了解甚少的领域,这为新的预防和治疗干预措施提供了潜在的可能性。近年来,基因组科学和技术的重大进展为 CHD 的发病机制研究开辟了新的途径,其中一些正在走向临床转化。
在过去的 5 年中,CHD 遗传学领域的文献大量涌现,报道了全基因组关联研究 (GWAS) 和许多其他发现。
许多对 CHD 风险有微小影响的遗传变异的鉴定是一个常见的发现。其中包括几个预测性基因座,例如涉及传统 CHD 风险因素(如血浆脂质)的基因座,以及许多新的基因座,其作用机制尚不清楚。也明确了需要采用大型协作研究方法,这现已成为一种公认的模式。
新型 GWAS 发现的临床应用仍不确定。特别是,常见、中等效应变异和罕见、较大效应变异对 CHD 风险或对药物的反应的相对贡献尚不清楚。
随着更多更大规模的 CHD 及其相关表型的 GWAS 进行,人们正在努力寻找这些发现的转化应用。治疗、预测和病理是主要的研究领域。