孟德尔随机化
医学
疾病
混淆
全基因组关联研究
观察研究
因果推理
人口
孟德尔遗传
内科学
生物信息学
遗传关联
多效性
风险因素
遗传学
病理
遗传变异
单核苷酸多态性
基因型
基因
环境卫生
生物
作者
Daniel I. Swerdlow,Aroon D. Hingorani,Steve E. Humphries
标识
DOI:10.1007/s11886-015-0584-x
摘要
Cardiovascular disease encompasses several diverse pathological states that place a heavy burden on individual and population health. The aetiological basis of many cardiovascular disorders is not fully understood. Growing knowledge of the genetic architecture underlying coronary heart disease, stroke, cardiac arrhythmias and peripheral vascular disease has confirmed some suspected causal pathways in these conditions but also uncovered many previously unknown mechanisms. Here, we consider the contribution of genetics to the understanding of cardiovascular disease risk. We evaluate the utility and relevance of findings from genome-wide association studies and explore the role that Mendelian randomisation has to play in exploiting these. Mendelian randomisation permits robust causal inference in an area of research where this has been hampered by bias and confounding in observational studies. In doing so, it provides evidence for causal processes in cardiovascular disease that could represent novel targets for much-needed new drugs for disease prevention and treatment.
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