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Circulating N-Terminal Probrain Natriuretic Peptide Levels in Relation to Ischemic Stroke and Its Subtypes: A Mendelian Randomization Study

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机构: [1]China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [2]Department of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China [3]Beijing Advanced Innovation Center for Big Data- Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China [4]Department of Biomedical Engineering, Columbia University, New York City, NY, United States
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关键词: mendelian randomization single nucleotide polymorphisms N-terminal pro-brain natriuretic peptide stroke risk predictor

摘要:
Mendelian randomization was used to evaluate the potential causal association between N-terminal probrain natriuretic peptide (NT-proBNP) and ischemic stroke based on summary statistics data from large-scale genome-wide association studies. Three single-nucleotide polymorphisms (SNPs) rs198389, rs13107325, and rs11105306 associated with NT-proBNP levels found in large general populations and in patients with acute heart disease were used as instrumental variables. The results of genetic association analysis of each single SNP show that there is no significant association between NT-proBNP levels and ischemic stroke or its subtypes, whereas rs198389 alone has a suggestive association with large-artery atherosclerosis stroke. The MR analysis of three SNPs shows that NT-proBNP levels may reduce the risk of small-vessel occlusion stroke suggestively. This genetic analysis provides insights into the pathophysiology and treatment of ischemic stroke.

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出版当年[2021]版:
大类 | 3 区 生物学
小类 | 3 区 遗传学
最新[2023]版:
大类 | 3 区 生物学
小类 | 3 区 遗传学
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出版当年[2020]版:
Q2 GENETICS & HEREDITY
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Q2 GENETICS & HEREDITY

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第一作者机构: [1]China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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通讯机构: [1]China-America Institute of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [2]Department of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China [3]Beijing Advanced Innovation Center for Big Data- Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
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