孟德尔随机化
全基因组关联研究
疾病
遗传关联
医学
人口
计算生物学
孟德尔遗传
生物信息学
遗传学
生物
遗传变异
基因
单核苷酸多态性
病理
环境卫生
基因型
作者
Constance Bordes,Muralidharan Sargurupremraj,Aniket Mishra,Stéphanie Debette
标识
DOI:10.1038/s41582-021-00592-8
摘要
Cerebral small vessel disease (cSVD) is a leading cause of ischaemic and haemorrhagic stroke and a major contributor to dementia. Covert cSVD, which is detectable with brain MRI but does not manifest as clinical stroke, is highly prevalent in the general population, particularly with increasing age. Advances in technologies and collaborative work have led to substantial progress in the identification of common genetic variants that are associated with cSVD-related stroke (ischaemic and haemorrhagic) and MRI-defined covert cSVD. In this Review, we provide an overview of collaborative studies — mostly genome-wide association studies (GWAS) — that have identified >50 independent genetic loci associated with the risk of cSVD. We describe how these associations have provided novel insights into the biological mechanisms involved in cSVD, revealed patterns of shared genetic variation across cSVD traits, and shed new light on the continuum between rare, monogenic and common, multifactorial cSVD. We consider how GWAS summary statistics have been leveraged for Mendelian randomization studies to explore causal pathways in cSVD and provide genetic evidence for drug effects, and how the combination of findings from GWAS with gene expression resources and drug target databases has enabled identification of putative causal genes and provided proof-of-concept for drug repositioning potential. We also discuss opportunities for polygenic risk prediction, multi-ancestry approaches and integration with other omics data. In this Review, the authors give an overview of the genetics of common small vessel disease, and provide insights into causal genes and the biological pathways involved, the overlap with monogenic small vessel disease, and the therapeutic implications of these factors.
科研通智能强力驱动
Strongly Powered by AbleSci AI