• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中风遗传学网络(SiGN)研究:一项针对缺血性中风亚型的全基因组关联研究的设计和原理。

Stroke Genetics Network (SiGN) study: design and rationale for a genome-wide association study of ischemic stroke subtypes.

机构信息

From the Mayo Clinic Jacksonville, FL (J.F.M.); University of Alabama at Birmingham (D.K.A., L.A.M.); Mayo Clinic Rochester, MN (R.D.B.); Massachusetts General Hospital, Boston, MA (H.A., J.R., O.W.); University of British Columbia, Vancouver, British Columbia, Canada (O.R.B.); University of Maryland School of Medicine and Veterans Administration Medical Center, Baltimore, MD (J.W.C., P.F.M., B.D.M., A.R.S., S.J.K.); University Medical Center Utrecht, Utrecht, The Netherlands (P.I.W.d.B.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (P.I.W.d.B.); Broad Institute of Harvard, MIT, Cambridge, MA (P.I.W.d.B.); Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany (M.D.); Johns Hopkins University, Baltimore, MD (K.F.D.); University of Texas Health Science Center at Houston (M.F.); Saint Francis Medical Center, Lynwood, CA (R.P.G.); NINDS Neurogenetics Cluster, Bethesda, MD (K.G.); IMIM-Hospital Universitari del Mar, Barcelona, Spain (J.J.C.); University of Florida, College of Pharmacy, Gainesville, FL (J.A.J.); Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Sweden (K.J., C.J.); University of Washington, Seattle, WA (C.C.L.); Washington University School of Medicine, St. Louis, MO (J.-M.L.); Lund University, Lund, Sweden (A.L.); St. George's University of London, London, United Kingdom (H.S.M.); Medical University Graz, Graz, Austria (R.S.); Brigham and Women's Hospital, Boston, MA (K.M.R.); University of Virginia, Charlottesville, VA (S.S.R., B.B.W.); Radcliffe Infirmary, Oxford, England (P.M.R.); University of Miami, Coral Gables, FL (T.R., R.L.S.); Imperial College London, London, United Kingdom (P.S.); Jagiellonian University, Krakow, Poland (A.S.); Albert Einstein College of Medicine, Bronx, NY (S.W.-S.); University of Edinburgh, Edinburgh, United Kingdom (C.S.); Universitaire Ziekenhuizen Leuven, Leuven, Belgium (V.N.S.T.); and University of Cincinnati, Cincinnati, OH (

出版信息

Stroke. 2013 Oct;44(10):2694-702. doi: 10.1161/STROKEAHA.113.001857. Epub 2013 Sep 10.

DOI:10.1161/STROKEAHA.113.001857
PMID:
24021684
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4056331/
Abstract

BACKGROUND AND PURPOSE

Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke.

METHODS

The National Institute of Neurological Disorders and Stroke SiGN includes ischemic stroke cases from 24 genetic research centers: 13 from the United States and 11 from Europe. Investigators harmonize ischemic stroke phenotyping using the Web-based causative classification of stroke system, with data entered by trained and certified adjudicators at participating genetic research centers. Through the Center for Inherited Diseases Research, the Network plans to genotype 10,296 carefully phenotyped stroke cases using genome-wide single nucleotide polymorphism arrays and adds to these another 4253 previously genotyped cases, for a total of 14,549 cases. To maximize power for subtype analyses, the study allocates genotyping resources almost exclusively to cases. Publicly available studies provide most of the control genotypes. Center for Inherited Diseases Research-generated genotypes and corresponding phenotypes will be shared with the scientific community through the US National Center for Biotechnology Information database of Genotypes and Phenotypes, and brain MRI studies will be centrally archived.

CONCLUSIONS

The Stroke Genetics Network, with its emphasis on careful and standardized phenotyping of ischemic stroke and stroke subtypes, provides an unprecedented opportunity to uncover genetic determinants of ischemic stroke.

摘要

背景与目的

对现有全基因组数据的荟萃分析表明,有必要针对缺血性脑卒中的亚型进行基因发现研究。国家神经疾病与卒中研究所 SiGN(卒中遗传学网络)为专注于特定类型卒中的荟萃分析做出了重要贡献。

方法

国家神经疾病与卒中研究所 SiGN 包含来自 24 个遗传研究中心的缺血性脑卒中病例:美国 13 个,欧洲 11 个。研究人员使用基于网络的卒中因果分类系统对缺血性卒中表型进行协调,数据由参与遗传研究中心的经过培训和认证的裁判输入。通过遗传性疾病研究中心,该网络计划使用全基因组单核苷酸多态性芯片对 10296 例精心表型的卒中病例进行基因分型,并增加另外 4253 例之前已基因分型的病例,总共 14549 例病例。为了最大限度地提高亚型分析的功效,该研究几乎完全将基因分型资源分配给病例。公共可用的研究提供了大部分对照基因型。遗传性疾病研究中心生成的基因型和相应的表型将通过美国国家生物技术信息中心的基因型和表型数据库与科学界共享,脑 MRI 研究将集中存档。

结论

卒中遗传学网络专注于缺血性卒中和卒中亚型的精心和标准化表型,为发现缺血性卒中的遗传决定因素提供了前所未有的机会。

相似文献

1
Stroke Genetics Network (SiGN) study: design and rationale for a genome-wide association study of ischemic stroke subtypes.中风遗传学网络(SiGN)研究:一项针对缺血性中风亚型的全基因组关联研究的设计和原理。
Stroke. 2013 Oct;44(10):2694-702. doi: 10.1161/STROKEAHA.113.001857. Epub 2013 Sep 10.
2
Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study.与缺血性中风及其亚型相关的基因座(SiGN):一项全基因组关联研究。
Lancet Neurol. 2016 Feb;15(2):174-184. doi: 10.1016/S1474-4422(15)00338-5. Epub 2015 Dec 19.
3
The Stroke Genetics Network: living up to its potential.中风遗传学网络:发挥其潜力。
Stroke. 2013 Oct;44(10):2679. doi: 10.1161/STROKEAHA.113.002693. Epub 2013 Sep 10.
4
Genetic Factors Influencing Coagulation Factor XIII B-Subunit Contribute to Risk of Ischemic Stroke.影响凝血因子XIII B亚基的遗传因素与缺血性中风风险相关。
Stroke. 2015 Aug;46(8):2069-74. doi: 10.1161/STROKEAHA.115.009387. Epub 2015 Jul 9.
5
Siblings with ischemic stroke study: results of a genome-wide scan for stroke loci.同胞缺血性中风研究:中风部位全基因组扫描结果。
Stroke. 2011 Oct;42(10):2726-32. doi: 10.1161/STROKEAHA.111.620484. Epub 2011 Sep 22.
6
Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12.对超过17900例缺血性中风病例的荟萃分析揭示了12号染色体长臂24.12区域存在一种新的关联。
Neurology. 2014 Aug 19;83(8):678-85. doi: 10.1212/WNL.0000000000000707. Epub 2014 Jul 16.
7
Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.缺血性卒中及其亚型的遗传风险因素(METASTROKE 协作研究):全基因组关联研究的荟萃分析。
Lancet Neurol. 2012 Nov;11(11):951-62. doi: 10.1016/S1474-4422(12)70234-X. Epub 2012 Oct 5.
8
Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project.与缺血性中风风险相关的罕见和编码区域基因变异:美国国立心肺血液研究所外显子序列项目
JAMA Neurol. 2015 Jul;72(7):781-8. doi: 10.1001/jamaneurol.2015.0582.
9
Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.缺血性中风和冠状动脉疾病的共同遗传易感性:常见变异的全基因组分析。
Stroke. 2014 Jan;45(1):24-36. doi: 10.1161/STROKEAHA.113.002707. Epub 2013 Nov 21.
10
Common mitochondrial sequence variants in ischemic stroke.缺血性脑卒中的常见线粒体序列变异。
Ann Neurol. 2011 Mar;69(3):471-80. doi: 10.1002/ana.22108. Epub 2010 Sep 13.

引用本文的文献

1
Determinant-based grouping of SNPs and its application for detecting disease-associated genomic loci.基于决定因素的单核苷酸多态性分组及其在检测疾病相关基因组位点中的应用。
NAR Genom Bioinform. 2025 Mar 18;7(1):lqaf024. doi: 10.1093/nargab/lqaf024. eCollection 2025 Mar.
2
Genome-wide association studies of ischemic stroke based on interpretable machine learning.基于可解释机器学习的缺血性中风全基因组关联研究
PeerJ Comput Sci. 2024 Nov 6;10:e2454. doi: 10.7717/peerj-cs.2454. eCollection 2024.
3
Evidence of survival bias in the association between and age at ischemic stroke onset.

本文引用的文献

1
Common variants at 6p21.1 are associated with large artery atherosclerotic stroke.6p21.1 常见变异与大动脉粥样硬化性卒中相关。
Nat Genet. 2012 Oct;44(10):1147-51. doi: 10.1038/ng.2397. Epub 2012 Sep 2.
2
Smoking and genetic risk variation across populations of European, Asian, and African American ancestry--a meta-analysis of chromosome 15q25.吸烟与欧洲、亚洲和非裔美国人种人群中遗传风险变异——染色体 15q25 的荟萃分析
Genet Epidemiol. 2012 May;36(4):340-51. doi: 10.1002/gepi.21627.
3
Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke.
缺血性卒中发病时[具体因素]与年龄之间关联中生存偏差的证据。 (你原文中“and”前面应该缺失了某个具体因素)
Front Genet. 2024 Sep 2;15:1392061. doi: 10.3389/fgene.2024.1392061. eCollection 2024.
4
Anti-Müllerian Hormone and Cardiometabolic Disease in Women: A Two-Sample Mendelian Randomization Study.抗苗勒管激素与女性心血管代谢疾病:一项两样本孟德尔随机化研究
Rev Cardiovasc Med. 2022 Jul 25;23(8):269. doi: 10.31083/j.rcm2308269. eCollection 2022 Aug.
5
Evidence of survival bias in the association between and age of ischemic stroke onset.缺血性卒中发病时间与年龄之间关联中生存偏差的证据。
medRxiv. 2023 Dec 1:2023.12.01.23294385. doi: 10.1101/2023.12.01.23294385.
6
Evaluation of Density-Based Spatial Clustering for Identifying Genomic Loci Associated with Ischemic Stroke in Genome-Wide Data.基于密度的空间聚类在全基因组数据中识别与缺血性脑卒中相关的基因组位点的评估。
Int J Mol Sci. 2023 Oct 19;24(20):15355. doi: 10.3390/ijms242015355.
7
A pilot genome-wide association study meta-analysis of gastroparesis.一项胃轻瘫的全基因组关联研究的初步荟萃分析。
United European Gastroenterol J. 2023 Oct;11(8):784-796. doi: 10.1002/ueg2.12453. Epub 2023 Sep 8.
8
Clinical and Genetic Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke.临床与遗传心房颤动风险及心源性与非心源性卒中的鉴别。
Stroke. 2023 Jul;54(7):1777-1785. doi: 10.1161/STROKEAHA.122.041533. Epub 2023 Jun 26.
9
The relevance of rich club regions for functional outcome post-stroke is enhanced in women.富连接区与女性卒中后功能结局的相关性增强。
Hum Brain Mapp. 2023 Mar;44(4):1579-1592. doi: 10.1002/hbm.26159. Epub 2022 Nov 28.
10
Deep profiling of multiple ischemic lesions in a large, multi-center cohort: Frequency, spatial distribution, and associations to clinical characteristics.对一个大型多中心队列中的多个缺血性病变进行深度剖析:频率、空间分布及其与临床特征的关联。
Front Neurosci. 2022 Aug 25;16:994458. doi: 10.3389/fnins.2022.994458. eCollection 2022.
全基因组关联研究鉴定出 HDAC9 中的一个变体与大动脉粥样硬化性缺血性卒中相关。
Nat Genet. 2012 Feb 5;44(3):328-33. doi: 10.1038/ng.1081.
4
A map of human genome variation from population-scale sequencing.人类基因组变异的图谱来自于基于人群的测序。
Nature. 2010 Oct 28;467(7319):1061-73. doi: 10.1038/nature09534.
5
The Causative Classification of Stroke system: an international reliability and optimization study.中风病因分类系统:一项国际可靠性和优化研究。
Neurology. 2010 Oct 5;75(14):1277-84. doi: 10.1212/WNL.0b013e3181f612ce.
6
Quality control and quality assurance in genotypic data for genome-wide association studies.全基因组关联研究中基因型数据的质量控制和质量保证。
Genet Epidemiol. 2010 Sep;34(6):591-602. doi: 10.1002/gepi.20516.
7
Genetics of atrial fibrillation.心房颤动的遗传学。
Heart Fail Clin. 2010 Apr;6(2):239-47. doi: 10.1016/j.hfc.2009.12.004.
8
Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.基因组流行病学心脏与衰老研究队列(CHARGE)联盟:来自5个队列的全基因组关联研究的前瞻性荟萃分析设计
Circ Cardiovasc Genet. 2009 Feb;2(1):73-80. doi: 10.1161/CIRCGENETICS.108.829747.
9
Sequence variants on chromosome 9p21.3 confer risk for atherosclerotic stroke.9号染色体短臂21.3区域的序列变异会增加动脉粥样硬化性中风的风险。
Ann Neurol. 2009 May;65(5):531-9. doi: 10.1002/ana.21590.
10
A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System.一种用于缺血性卒中病因分类的计算机算法:卒中病因分类系统
Stroke. 2007 Nov;38(11):2979-84. doi: 10.1161/STROKEAHA.107.490896. Epub 2007 Sep 27.