Genetics of ischemic stroke in the SiGN Consortium
SiGN 联盟中缺血性中风的遗传学
基本信息
- 批准号:10171625
- 负责人:
- 金额:$ 53.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-06-01 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressBiologicalCategoriesCause of DeathCerebrovascular DisordersClassificationCommunitiesDataDiseaseEtiologyEuropeFrequenciesFunctional disorderFundingGene FrequencyGenesGeneticGenetic RiskGenomeGenotypeGoalsHeritabilityInstitutesInternationalIschemic StrokeMapsMeta-AnalysisMethodsMinorNational Institute of Neurological Disorders and StrokeNatureOnline SystemsPopulation ControlPredispositionPreventionQuantitative GeneticsResearchResearch PersonnelResourcesRiskRisk FactorsSecureSiteStandardizationStrokeSystemTestingTimeVariantcase controlcausal variantdatabase of Genotypes and Phenotypesdisabilityexomegenetic analysisgenetic architecturegenetic variantgenome wide association studyimprovedpleiotropismrare variantrisk variantstroke risktooltranscriptomics
项目摘要
Ischemic stroke is the 4th leading cause of death in the U.S. and a major cause of disability. The etiology of
stroke is multifactorial and poorly understood. Genetics is a potentially powerful tool for better understanding
disease etiology as it can highlight biological mechanisms underlying disease and point the way to improved
prevention and treatment. The NINDS-sponsored Stroke Genetics Network (SiGN) was formed in 2010 to
identify common genetic variants associated with ischemic stroke and its subtypes using state-of-the-art stroke
subtyping and the genome-wide association study approach in over 17,000 stroke cases from 25 sites.
The initial meta-analysis, just completed, reveals several tantalizing results and a large number of
additional analyses are planned by SiGN investigators. The goal of this application is to secure support for
additional key analyses to be carried out on this unique resource and to make this resource available broadly
to the international research community. Using already available genotype data, we will (1) Discover rare and
low-frequency variants influencing stroke susceptibility by performing association analyses of low-frequency
and exonic SNPs with ischemic stroke and its subtypes in 10,348 stroke cases and controls; (2) Identify the
likely causal genes and variants at 7 established loci that have been robustly associated with ischemic stroke
subtypes using integrative approaches to fine map these regions and define sets of credible causal variants;
and (3) Contrast the nature of the genetic architecture among stroke subtypes between stroke and its risk
factors using quantitative genetic analyses that partition SNPs across the genome into different bins, or
categories, allowing us to test a variety of different hypotheses about the genetic architecture of stroke
subtypes.
A further goal of our proposal is to advance the pace of genetic discovery in stroke by making the SiGN
resource (data and results) accessible to the stroke genetics community on a secure platform at the Broad
Institute managed by the NINDS-funded Platform for Accelerating Genetic Discovery for Cerebrovascular
Disease. As part of this effort we will create web-based look-up tools that allow investigators to query the meta-
analysis results. In a very short period of time, SiGN has emerged as a unifying force in the stroke genetics
field because of its inclusion of the leading stroke genetics groups internationally. The analyses and activities
proposed in this application are key next steps that take advantage of this extraordinarily rich resource and set
in place a mechanism for keeping this productive international consortium together and moving forward.
缺血性中风是美国第四大死亡原因,也是残疾的主要原因。的病因
中风是多因素的,但人们对它了解甚少。遗传学是一个潜在的强大工具,
疾病病因学,因为它可以突出疾病的生物学机制,并指出改善的方法
预防和治疗。NINDS赞助的中风遗传学网络(SiGN)成立于2010年,
使用最新卒中技术鉴定与缺血性卒中及其亚型相关的常见遗传变异
亚型和全基因组关联研究方法在来自25个站点的17,000多个中风病例中进行。
刚刚完成的初步荟萃分析揭示了几个诱人的结果和大量的
由SIGN研究者计划进行额外分析。此应用程序的目标是确保支持
对这一独特资源进行更多的关键分析,并广泛提供这一资源
国际研究界。利用现有的基因型数据,我们将(1)发现罕见的,
低频变异影响卒中易感性的相关分析
10,348例脑卒中患者和对照组中缺血性脑卒中及其亚型与外显子SNPs的相关性;(2)
7个已确定的与缺血性卒中密切相关的基因座上的可能致病基因和变异体
使用综合方法精细绘制这些区域的亚型,并定义可信的因果变异集;
(3)比较中风亚型之间的遗传结构的性质及其风险
使用定量遗传分析将基因组中的SNP划分到不同的箱中的因素,或
分类,使我们能够测试各种不同的假设,遗传结构的中风
亚型
我们建议的另一个目标是通过使SIGN基因在脑卒中中的表达,
中风遗传学社区可在Broad的安全平台上访问的资源(数据和结果)
由NINDS资助的加速脑血管疾病基因发现平台管理的研究所
疾病作为这项工作的一部分,我们将创建基于网络的查找工具,使调查人员能够查询Meta,
分析结果。在很短的时间内,SiGN已经成为中风遗传学中的统一力量
因为它包含了国际上领先的中风遗传学团体。分析和活动
本申请中提出的是利用这一极其丰富的资源和集合的关键后续步骤
建立一个机制,使这一富有成效的国际联合体保持在一起并向前迈进。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
PolarMorphism enables discovery of shared genetic variants across multiple traits from GWAS summary statistics.
- DOI:10.1093/bioinformatics/btac228
- 发表时间:2022-06-24
- 期刊:
- 影响因子:0
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STEVEN J KITTNER其他文献
STEVEN J KITTNER的其他文献
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{{ truncateString('STEVEN J KITTNER', 18)}}的其他基金
Whole Exome Sequencing Study of Early-Onset Ischemic Stroke
早发性缺血性中风的全外显子组测序研究
- 批准号:
9889564 - 财政年份:2020
- 资助金额:
$ 53.17万 - 项目类别:
Genetics of Early-Onset Ischemic Stroke Consortium
早发性缺血性中风联盟的遗传学
- 批准号:
10324593 - 财政年份:2018
- 资助金额:
$ 53.17万 - 项目类别:
Adaptive ankle robot control system to reduce foot-drop in chronic stroke
自适应踝关节机器人控制系统可减少慢性中风患者的足下垂
- 批准号:
9901442 - 财政年份:2015
- 资助金额:
$ 53.17万 - 项目类别:
Adaptive ankle robot control system to reduce foot-drop in chronic stroke
自适应踝关节机器人控制系统可减少慢性中风患者的足下垂
- 批准号:
10174743 - 财政年份:2015
- 资助金额:
$ 53.17万 - 项目类别:
BEHAVIOR, INFECTION AND GENETICS IN EARLY-ONSET STROKE (YOUNG STROKE STUDY)
早发性中风的行为、感染和遗传学(年轻中风研究)
- 批准号:
7203280 - 财政年份:2005
- 资助金额:
$ 53.17万 - 项目类别:
Behavior, Infection and Genetics in Early Onset Stroke
早发性中风的行为、感染和遗传学
- 批准号:
6981308 - 财政年份:2004
- 资助金额:
$ 53.17万 - 项目类别:
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