Center for Common Disease Genetics
常见疾病遗传学中心
基本信息
- 批准号:9913613
- 负责人:
- 金额:$ 1666.84万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-14 至 2021-11-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAfrican AmericanAllelesAsiansAtrial FibrillationAuthorization documentationBiologicalBudgetsCase-Control StudiesClinicalCollectionCommunitiesComplementCoronary ArteriosclerosisCountryDNADataDiseaseElectronic Health RecordEnvironmental Risk FactorEpidemiologyEpilepsyEstoniaEuropeanFinlandFrequenciesFundingGeneticGenetic DiseasesGenetic studyGenomeGenomicsGenotypeGoalsGrantHealth systemHispanicsIndividualInflammatoryInflammatory Bowel DiseasesInstitutesLightLinkMedical GeneticsMetabolicMethodsMorbidity - disease rateNational Human Genome Research InstituteNon-Insulin-Dependent Diabetes MellitusParticipantPatientsPenetrancePhenotypePhysiologicalPhysiologyPopulationPopulation GeneticsPopulation HeterogeneityPrevalenceProcessRecording of previous eventsResearch DesignResearch PersonnelResourcesSample SizeSamplingSchizophreniaShotgunsSingle-Payer SystemSourceStrokeSystemic diseaseTestingTimeTranslatingUntranslated RNAautism spectrum disorderbasebiobankcase controlcomorbiditycostdata sharingdata toolsearly onsetepidemiology studyexomeexperiencefollow-upgene discoverygenetic approachgenetic architecturegenomic platformimprovedinsightinterestmiddle agemortalitynervous system disorderneuropsychiatric disorderprotective allelerisk variantwhole genome
项目摘要
Project Summary Abstract
Building on our 25-year track record in comprehensive genomic studies and addressing
NHGRI's goal for this RFA, we propose to create, apply and test a powerful, reliable and
general strategy for “comprehensive” identification of risk and protective variants that contribute
significantly to any common disease of interest. Toward this end, we will:
· Create a Common Disease Consortium (CDC) that brings together a collaborative network
of investigators with deep clinical and genetic expertise and >1.1 million well-characterized
samples (cases and controls) across diverse populations, including Europeans, African
Americans, Hispanics and Asians. The CDC will undertake genetic studies under three major
projects related to: (1) Five systemic diseases – early-onset coronary artery disease, type 2
diabetes, inflammatory bowel disease, atrial fibrillation, and stroke; (2) Three severe
neurological disorders – autism, schizophrenia and epilepsy; and (3) Two countries with special
advantages for genetic studies – Finland and Estonia. Through these three projects, the CDC
will explore a range of study designs, population-genetic strategies, genetic architectures, and
diverse populations.
· Sequence 450,000 samples from the CDC, using the expertise of the Broad Institute's
genomics platform to generate high quality data and to drive down sequencing costs.
· Analyze the sequence data to elucidate the genetic basis of the diseases, by applying state-
of-the-art methods from in our preliminary studies and developing new methods to increase
power to detect association.
· Create, disseminate and share data, tools, and resources, to enable the scientific
community to access and analyze genetic studies from the CDC and other sources.
项目摘要摘要
以我们在全面基因组研究和解决的25年历史记录的基础上建立
NHGRI对此RFA的目标,我们建议创建,应用和测试强大,可靠和测试
“全面”识别风险和保护性变体的一般策略
重要的是任何感兴趣的普通疾病。为此,我们将:
·创建一个共同的疾病财团(CDC),该财团汇集了一个协作网络
具有深厚临床和遗传专业知识和110万个良好表征的研究人员
包括欧洲人,非洲在内的各种人群的样本(案例和对照)
美国人,西班牙裔和亚洲人。疾病预防控制中心将在三个主要的下进行遗传研究
与:(1)五种全身性疾病有关的项目 - 早发冠状动脉疾病,2型
糖尿病,炎症性肠病,房颤和中风; (2)三个严重
神经系统疾病 - 自闭症,精神分裂症和癫痫; (3)两个国家有特殊的国家
遗传研究的优势 - 芬兰和爱沙尼亚。通过这三个项目,CDC
将探索一系列研究设计,人口遗传策略,遗传体系结构和
多样化的人口。
使用Broad Institute的专业知识,来自CDC的序列450,000个样品
基因组学平台生成高质量数据并降低测序成本。
分析序列数据,以阐明疾病的遗传基础
从我们的初步研究和开发新方法来增加的艺术方法
检测关联的力量。
创建,传播和共享数据,工具和资源,以实现科学
从CDC和其他来源访问和分析遗传研究的社区。
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Biallelic pathogenic variants of PARS2 cause developmental and epileptic encephalopathy with spike-and-wave activation in sleep.
- DOI:10.1002/mgg3.2311
- 发表时间:2024-01
- 期刊:
- 影响因子:2
- 作者:
- 通讯作者:
What Is Familial Hypercholesterolemia, and Why Does It Matter?
- DOI:10.1161/circulationaha.120.046961
- 发表时间:2020-06-02
- 期刊:
- 影响因子:37.8
- 作者:Khera, Amit V.;Hegele, Robert A.
- 通讯作者:Hegele, Robert A.
Characterization and remediation of sample index swaps by non-redundant dual indexing on massively parallel sequencing platforms.
- DOI:10.1186/s12864-018-4703-0
- 发表时间:2018-05-08
- 期刊:
- 影响因子:4.4
- 作者:Costello M;Fleharty M;Abreu J;Farjoun Y;Ferriera S;Holmes L;Granger B;Green L;Howd T;Mason T;Vicente G;Dasilva M;Brodeur W;DeSmet T;Dodge S;Lennon NJ;Gabriel S
- 通讯作者:Gabriel S
CYP2C19 Genotyping in Anticoagulated Patients After Percutaneous Coronary Intervention: Should It Be Routine?
- DOI:10.1161/circulationaha.121.057028
- 发表时间:2022-03-08
- 期刊:
- 影响因子:37.8
- 作者:Maamari DJ;Jaffer FA;Khera AV;Fahed AC
- 通讯作者:Fahed AC
Defective lipid signalling caused by mutations in PIK3C2B underlies focal epilepsy.
- DOI:10.1093/brain/awac082
- 发表时间:2022-07-29
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
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Mark Joseph Daly其他文献
Mark Joseph Daly的其他文献
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{{ truncateString('Mark Joseph Daly', 18)}}的其他基金
Enhancing gnomAD Sustainability: Implementing Site Reliability Engineering Principles for Genomic Data Infrastructure
增强 gnomAD 可持续性:实施基因组数据基础设施站点可靠性工程原则
- 批准号:
10838180 - 财政年份:2023
- 资助金额:
$ 1666.84万 - 项目类别:
2/4 The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorder
2/4 自闭症测序联盟:发现自闭症风险基因以及它们如何影响该疾病的核心特征
- 批准号:
10579317 - 财政年份:2022
- 资助金额:
$ 1666.84万 - 项目类别:
The Genome Aggregation Database (gnomAD)
基因组聚合数据库 (gnomAD)
- 批准号:
10089969 - 财政年份:2021
- 资助金额:
$ 1666.84万 - 项目类别:
The Genome Aggregation Database (gnomAD)
基因组聚合数据库 (gnomAD)
- 批准号:
10548219 - 财政年份:2021
- 资助金额:
$ 1666.84万 - 项目类别:
The Genome Aggregation Database (gnomAD)
基因组聚合数据库 (gnomAD)
- 批准号:
10347300 - 财政年份:2021
- 资助金额:
$ 1666.84万 - 项目类别:
The Autism Sequencing Consortium: Autism Gene Discovery in >50,000 Exomes
自闭症测序联盟:在超过 50,000 个外显子组中发现自闭症基因
- 批准号:
9217934 - 财政年份:2017
- 资助金额:
$ 1666.84万 - 项目类别:
2/7 Psychiatric Genomics Consortium: Finding Actionable Variation
2/7 精神病基因组学联盟:寻找可行的变异
- 批准号:
9924026 - 财政年份:2016
- 资助金额:
$ 1666.84万 - 项目类别:
Network-based prediction and validation of causal schizophrenia genes and variants
基于网络的精神分裂症致病基因和变异的预测和验证
- 批准号:
9108677 - 财政年份:2016
- 资助金额:
$ 1666.84万 - 项目类别:
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