Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston, MA.
Ann Neurol. 2022 May;91(5):640-651. doi: 10.1002/ana.26332. Epub 2022 Mar 3.
Ischemic stroke etiology remains undetermined in 30% of cases. We explored the genetic architecture of stroke classified as undetermined to test if mechanisms and risk factors underlying large-artery atherosclerotic (LAAS), cardioembolic (CES), and small-vessel stroke (SVS) contribute to its pathogenesis.
We analyzed genome-wide data from 16,851 ischemic stroke cases and 32,473 controls. Using polygenic risk scores for LAAS, CES, and SVS, we assessed the genetic overlap with stroke of undetermined source and used pairwise genomewide association study (GWAS-PW) to search for shared loci. We then applied Mendelian randomization (MR) to identify potentially causal risk factors of stroke of undetermined source.
Genetic risk for LAS, CES, and SVS was associated with stroke of undetermined source pointing to overlap in their genetic architecture. Pairwise analyses revealed 19 shared loci with LAAS, 2 with CES, and 5 with SVS that have been implicated in atherosclerosis-related phenotypes. Genetic liability to both carotid atherosclerosis and atrial fibrillation was associated with stroke of undetermined source, but the association with atrial fibrillation was attenuated after excluding cases with incomplete diagnostic workup. MR analyses showed effects of genetically determinants of blood pressure, diabetes, waist-to-hip ratio, inflammatory pathways (IL-6 signaling, MCP-1/CCL2 levels), and factor XI levels on stroke of undetermined source.
Stroke of undetermined source shares genetic and vascular risk factors with other stroke subtypes, especially LAAS, thus highlighting the diagnostic limitations of current subtyping approaches. The potentially causal associations with carotid atherosclerosis and atherosclerotic risk factors might have implications for prevention strategies targeting these mechanisms. ANN NEUROL 2022;91:640-651.
30%的缺血性脑卒中病因仍未确定。我们探讨了分类为不明原因的脑卒中的遗传结构,以检验大血管粥样硬化(LAAS)、心源性栓塞(CES)和小血管卒中(SVS)背后的机制和危险因素是否有助于其发病机制。
我们分析了来自 16851 例缺血性脑卒中病例和 32473 例对照的全基因组数据。使用 LAAS、CES 和 SVS 的多基因风险评分,我们评估了与不明原因脑卒中的遗传重叠,并使用配对全基因组关联研究(GWAS-PW)来搜索共享基因座。然后,我们应用孟德尔随机化(MR)来鉴定不明原因脑卒中的潜在因果风险因素。
LAS、CES 和 SVS 的遗传风险与不明原因脑卒中相关,表明它们的遗传结构存在重叠。成对分析显示,LAAS 有 19 个共享基因座,CES 有 2 个,SVS 有 5 个,这些基因座与动脉粥样硬化相关表型有关。颈动脉粥样硬化和心房颤动的遗传易感性与不明原因脑卒中相关,但在排除诊断不完整的病例后,这种相关性减弱。MR 分析显示,血压、糖尿病、腰臀比、炎症通路(IL-6 信号、MCP-1/CCL2 水平)和因子 XI 水平的遗传决定因素对不明原因脑卒中的影响。
不明原因脑卒中与其他脑卒中亚型(尤其是 LAAS)共享遗传和血管危险因素,这突出了目前亚类方法的诊断局限性。与颈动脉粥样硬化和动脉粥样硬化危险因素的潜在因果关联可能对针对这些机制的预防策略具有重要意义。ANN NEUROL 2022;91:640-651.