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

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

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摘要

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.
机译:背景和目的:现有基因组数据的荟萃分析表明,需要专注于缺血性卒中的亚型以进行基因发现。美国国立神经系统疾病和中风研究所(卒中遗传学网络)对荟萃分析做出了重要贡献,该荟萃分析侧重于中风的特定亚型。方法:国家神经疾病和中风研究所SiGN包括来自24个基因研究中心的缺血性中风病例:美国13个和欧洲11个。研究人员使用基于Web的卒中系统的病因分类来协调缺血性卒中表型,并由参与研究的遗传研究中心的经过培训和认证的鉴定人输入数据。通过遗传病研究中心,该网络计划使用全基因组单核苷酸多态性阵列对10296例经仔细表型化的中风病例进行基因分型,并在另外4253例先前的基因分型病例中添加,共计14549例。为了最大程度地发挥亚型分析的功效,该研究几乎只将基因分型资源分配给病例。可公开获得的研究提供了大多数对照基因型。遗传病中心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研究产生的基因型和相应的表型,并将脑MRI研究集中保存。结论:脑卒中遗传网络的重点是对缺血性卒中和卒中亚型进行仔细和标准化的表型分析,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。

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