2 of 7 EPI4K - Phenotyping Clinical Informatics Core
2 of 7 EPI4K - Phenotyping Clinical Informatics Core
批准号:
8240658
负责人:
DANIEL H LOWENSTEIN
金额:
$81.48万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-30 至 2016-08-31
关键词:
AddressAffectBioinformaticsBiologicalBiometryCharacteristicsClassificationClinicalClinical InformaticsClinical InvestigatorCommon Data ElementCommunicationConsensusCritiquesDNADataDatabasesDetectionDevelopmentDiagnosisDiagnosticDiseaseDocumentationElectrophysiology (science)EpilepsyEvaluationFamilyFamily memberGenesGeneticGenomeGenomicsGenotypeGoalsHandHumanIndividualInformaticsInterviewLifeMedical RecordsMethodologyMethodsMonitorNeurologicPathway interactionsPatientsPersonal SatisfactionPhenotypePoliciesPopulationProceduresProcessRecurrenceResearchResearch InfrastructureResearch PersonnelResourcesRestRetrievalRiskSamplingSeizuresSiteSourceStructureStudy SectionSystemTestingTherapeuticUpdateValidationWorkWritingbasecareercohortdesigneffective therapyexperiencegenetic analysisimprovedmeetingsnervous system disorderneuroimagingphenomeprognosticresponsesuccesstool
中文摘要
描述(由申请人提供): Epi 4K无墙中心的主要目标是增加对人类癫痫遗传基础的了解,以改善患有这些疾病的患者和家庭成员的福祉。这种改进将以更好的诊断、治疗和治愈的形式出现。为了实现这一目标,Epi 4K旨在分析由几个主要研究小组的研究人员收集的大量表型良好的癫痫患者和家庭的基因组。该企业的一个关键方面,以及此处描述的Epi 4K表型和临床信息学(PCI)核心的主要目标,是收集,组织和验证所有用于基因组分析的患者的表型信息,并确保患者的DNA样本在需要时可用于Epi 4K测序,生物统计学和生物信息学(SBB)核心。有据可查的高质量表型数据的可用性显然对Epi 4K中所有四个拟议项目的成功至关重要,因为检测有意义的表型:基因型关联将高度依赖于表型有效性。 然而,在Epi 4K中实现这一目标需要大量的努力,主要有两个原因。首先,癫痫的诊断和分类,
包括临床特征如癫痫发作类型、癫痫发作症状学、治疗反应以及其他特征如智力和神经缺陷,主要依赖于临床观察,这些临床观察倾向于主观性,并且通常描述或解释不佳。 其次,Epi 4K将使用不同的表型分析方法收集至少7个不同的患者队列。为了应对这些挑战,我们将利用PCI核心研究人员的丰富经验,他们都将相当大的一部分职业生涯投入到开发准确分型癫痫的方法中。此外,通过癫痫表型组/基因组计划(EPGP)的工作,我们已经创建了数据审查系统和高效的信息学基础设施,可以适应Epi 4K的需求。有了这些资源,PCI核心旨在实现以下具体目标:1)建立癫痫表型记录的标准,这些标准可以在不同地点可靠地用于所有接受Epi 4K遗传分析的受试者; 2)设计
并为Epi 4K表型数据储存库和DNA样本跟踪系统建立信息学基础设施;以及3)验证与提交用于基因组分析的每个DNA样本相关的表型数据。
公共卫生相关性: 癫痫是人类最常见的神经系统疾病之一,影响高达3%的人口。 虽然癫痫有很强的遗传成分,但已知的基因仍然很少。Epi 4K项目将识别癫痫中的新基因和遗传途径,并通过改善诊断,预后和复发风险信息直接使癫痫患者及其家庭受益。Epi 4K还将促进我们对癫痫生物学基础的理解,这对于开发新的有效治疗以及治愈至关重要。
免责声明:请注意,以下评论是由审查员在研究部分会议之前准备的,并且以基本上未经编辑的形式提供。 虽然审查人员有机会根据小组讨论情况更新或修订其书面评价,但不能保证在会议讨论之后更新了个人评论。 因此,这些评论可能并不完全反映小组讨论结束时个人评论员的最终意见或小组的最终多数意见。因此,讨论的简历和摘要是评审员在会议上实际认为关键的最后一句话。
英文摘要
DESCRIPTION (provided by applicant): The primary goal of the Epi4K Center Without Walls is to increase understanding of the genetic basis of human epilepsy in order to improve the well-being of patients and family members living with these disorders. This improvement will come in the form of better diagnostics, treatments and cures. To accomplish this goal, Epi4K aims to analyze the genomes of a large number of well-phenotyped epilepsy patients and families collected by investigators from several major research groups. A critical aspect of this enterprise, and the main goal of the Epi4K Phenotyping and Clinical Informatics (PCI) Core described here, is to assemble, organize and validate the phenotypic information on all patients proposed for genomic analysis, and to insure that patients' DNA samples are available to the Epi4K Sequencing, Biostatistics and Bioinformatics (SBB) Core when needed. The availability of well-documented, high quality phenotype data is obviously crucial to the success of all four proposed projects in Epi4K, since the detection of meaningful phenotype:genotype associations will depend highly on phenotype validity. However, achieving this goal in Epi4K will require substantial effort for two main reasons. First, the diagnosis and classification of the epilepsies,
including clinical characteristics such as seizure type, seizure semiology, therapeutic response, and additional features such as intellectual and neurological deficits, rests primarily on clinica observations, which are prone to subjectivity and often poorly described or interpreted. Second, Epi4K will assemble at least seven different cohorts of patients collected using varied phenotyping methodologies. To address these challenges, we will capitalize on the substantial experience of the PCI Core investigators, all of whom have devoted considerable portions of their careers to developing methods for accurately phenotyping epilepsy. In addition, through the work of the Epilepsy Phenome/Genome Project (EPGP), we have already created data review systems and a highly efficient informatics infrastructure that can be adapted to the needs of Epi4K. With these resources in hand, the PCI Core seeks to accomplish the following specific aims: 1) to establish standards for documentation of epilepsy phenotypes that can be used reliably across different sites for all subjects undergoing genetic analyses in Epi4K; 2) to design
and implement an informatics infrastructure for an Epi4K Phenotype Data Repository and DNA Sample Tracking System; and 3) to validate the phenotype data associated with every DNA sample submitted for genome analyses.
PUBLIC HEALTH RELEVANCE: Epilepsy is one of the most common neurological disorders in humans, affecting up to 3% of the population. Although there is a strong genetic component for epilepsy, there are still only a few genes known. The Epi4K project will identify new genes and genetic pathways in epilepsy and will directly benefit individuals with epilepsy and their families through improved diagnostic, prognostic and recurrence risk information. Epi4K will also advance our understanding of the biological basis of epilepsy, which is essential for the development of new and effective treatments, as well as cures.
Disclaimer: Please note that the following critiques were prepared by the reviewers prior to the Study Section meeting and are provided in an essentially unedited form. While there is opportunity for the reviewers to update or revise their written evaluation, based upon the group's discussion, there is no guarantee that individual critiques have been updated subsequent to the discussion at the meeting. Therefore, the critiques may not fully reflect the final opinions of th individual reviewers at the close of group discussion or the final majority opinion of the group. Thus the Resume and Summary of Discussion is the final word on what the reviewers actually considered critical at the meeting.
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会议论文
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批准号:9753389
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资助金额:$6.09万
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资助金额:$70.22万
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依托单位:
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依托单位:
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财政年份:2000
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负责人:DANIEL H LOWENSTEIN
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财政年份:1996
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依托单位:
MOLECULAR ANALYSIS OF NETWORK REORGANIZATION IN EPILEPSY
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财政年份:1996
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依托单位:
MOLECULAR ANALYSIS OF NETWORK REORGANIZATION IN EPILEPSY
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财政年份:1996
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负责人:DANIEL H LOWENSTEIN
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依托单位:
MOLECULAR ANALYSIS OF NETWORK REORGANIZATION IN EPILEPSY
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财政年份:1996
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海外基金