A Unified Clinical Genomics Database
A Unified Clinical Genomics Database
批准号:
8914452
负责人:
David H. Ledbetter
金额:
$268.12万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-23 至 2017-07-31
关键词:
AddressAreaBasic ScienceBioinformaticsBiomedical ResearchBiotechnologyCaringClassificationClinicalClinical DataClinical ResearchClinical TrialsClinical assessmentsCollectionCommunitiesConsensusDNADataData AnalysesData ElementData SetDatabasesDetectionDevelopmentDictionaryDiseaseEducationEducational MaterialsEnsureEnvironmentEquilibriumFamilyFoundationsGenesGenetic screening methodGenomeGenomicsGenotypeGoalsGuidelinesHealth Services ResearchHumanIndividualInformation TechnologyInternationalInvestigationKnowledgeLaboratoriesLinkMedicalMedical GeneticsMedicineOntologyPatient CarePatientsPhenotypePoliciesPrincipal InvestigatorPublic HealthResearchResearch InfrastructureResearch PersonnelResourcesSolutionsSourceSystemTestingTimeVariantclinical applicationclinical careclinically relevantdata acquisitiondata integritydesigndisease phenotypeevidence baseexomeexperiencegene panelgenetic informationgenetic variantgenome sequencinggenome-widegenomic variationhuman diseaseimprovedinnovationinterestnovel strategiespatient advocacy grouppatient populationpatient privacypatient registrypoint of careprogramssoftware developmentsuccesstool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The centralization of human genomic variation data is a critical step in accelerating genomic medicine. The creation of a single, unified database of genome-wide structural and sequence-level variation will not only enable more efficient approaches to data analysis, but will also ensure the use of a uniform set of standards across clinical and research applications. The success of such a database has already been demonstrated for structural variation with this group's ongoing effort, the International Standards
for Cytogenomic Arrays (ISCA) Consortium, which has made major advances in establishing resources for data analysis and interpretation. To address the critical need to expand this effort to genome-wide sequence-level variation and to unite variation data within a single resource, the following Specific Aims are proposed; 1) Develop a standardized infrastructure for data acquisition, submission and public access for a clinical genomic variation database. 2) Coordinate the submission of variant and phenotypic data into ClinVar, a unified database at the National Center for Biotechnology Information (NCBI). 3) Implement sustainable expert clinical level curation systems for human genomic variants. Recognizing that their ability to standardize the clinical interpretation of variants will be much improved if larger bodies of data are availabl, many clinical laboratories in the US have already agreed to provide access to their data for this project. Access to all data and evidence on human genomic variants will be maintained within the ClinVar database, and the state of variant understanding will be graded, allowing components of the centralized database to be used for different applications, from clinical decision support to basic science research. A centralized database will also allow us to harness the collective experience of multiple laboratories to support evidence-based curation of structural and sequence-level variants leading to a clinical grade database of genome-wide variation. This innovative project will create a resource that can be used for a variety of applications, providing valuable data for the day-to-day interpretation of clinical laboratory results, for research investigations, and for the development of guidelines surrounding the use of genetic information in clinical care.
RELEVANCE: Hundreds of thousands of disease-causing variants have been identified in patients with disease, yet only a small fraction of that data, and the interpretation of it, is accessible to researchers and clinicians. This project will serve to collect and organize genomic data from many sources into a free and publically accessible environment and enable expert curation of that data for use in improving healthcare and biomedical research.
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