Stroke genetics: discovery, biology, and clinical applications

被引:129
作者
Dichgans, Martin [1 ,2 ,3 ]
Pulit, Sara L. [4 ,5 ,6 ]
Rosand, Jonathan [6 ,7 ,8 ]
机构
[1] Ludwig Maximilians Univ Munchen, Klinikum Univ Munchen, Inst Stroke & Dementia Res, Munich, Germany
[2] German Ctr Neurodegenerat Dis, Munich, Germany
[3] Munich Cluster Syst Neurol SyNergy, Munich, Germany
[4] Univ Med Ctr Utrecht, Ctr Mol Med, Dept Genet, Utrecht, Netherlands
[5] Univ Oxford, Li Ka Shing Ctr Hlth Informat & Discovery, Big Data Inst, Oxford, England
[6] Broad Inst, Program Med Populat & Genet, Cambridge, MA USA
[7] Massachusetts Gen Hosp, Henry & Allison McCance Ctr Brain Hlth, Boston, MA 02114 USA
[8] Massachusetts Gen Hosp, Ctr Genom Med, Boston, MA 02114 USA
基金
美国国家卫生研究院; 欧盟地平线“2020”;
关键词
CORONARY-ARTERY-DISEASE; DENSITY-LIPOPROTEIN CHOLESTEROL; GENOME-WIDE ASSOCIATION; SMALL VESSEL DISEASE; MENDELIAN RANDOMIZATION; ISCHEMIC-STROKE; HEART-DISEASE; INTRACEREBRAL HEMORRHAGE; CARDIOVASCULAR-DISEASE; UP-REGULATION;
D O I
10.1016/S1474-4422(19)30043-2
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Stroke, a leading cause of long-term disability and death worldwide, has a heritable component. Recent gene discovery efforts have expanded the number of known single-gene disorders associated with stroke and have linked common variants at approximately 35 genetic loci to stroke risk. These discoveries have highlighted novel mechanisms and pathways implicated in stroke related to large artery atherosclerosis, cardioembolism, and small vessel disease, and defined shared genetic influences with related vascular traits. Genetics has also successfully established causal relationships with risk factors and holds promise for prioritising targets for exploration in clinical trials. Genome-wide polygenic scores enable the identification of high-risk individuals before the emergence of vascular risk factors. Challenges ahead include a better understanding of rare variants and ancestral differences for integration of genetics into precision medicine, integration with other omics data, uncovering the genetic factors that govern stroke recurrence and stroke outcome, and the conversion of genetic discoveries to novel therapies.
引用
收藏
页码:587 / 599
页数:13
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