课题基金 / 基金详情

Center for Undiagnosed Diseases at Stanford

Center for Undiagnosed Diseases at Stanford
斯坦福大学未确诊疾病中心
批准号:
9980967
负责人:
Euan A Ashley
金额:
$110.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-21 至 2022-06-30
关键词:
AlgorithmsAnimal ModelAreaAwardB-LymphocytesBiological AssayCaringCell LineCell modelCellsChild HealthCollaborationsCommittee MembershipComputational algorithmComputerized Medical RecordConsentCountryDataData AnalysesDetectionDevelopmentDiagnosisDiagnosticDiseaseEducationEligibility DeterminationEnsureEvaluationFDA approvedFamilyFibroblastsGene SilencingGenerationsGenetic CounselingGenomic medicineGenomicsGoalsGraphHealthcareHospitalsHumanInternationalInvestigationInvestmentsLeadershipLibrariesLiteratureMachine LearningMedicalMedicineMetagenomicsMethodsMissionModelingMultiomic DataNetwork-basedOntologyOrganismOrganoidsPatient CarePatientsPharmaceutical PreparationsPhasePhenotypePhysiciansPlayPolicy MakerPrincipal InvestigatorProceduresProcessProtocols documentationPublicationsReagentRecording of previous eventsResearchResourcesRoboticsRoleScientistSiteStandardizationStructureSystemT-LymphocyteTechnologyTestingTherapeuticTimeTissuesTrainingTranslational ResearchUnderserved PopulationUnited States National Institutes of HealthUniversitiesVariantVisitaccurate diagnosisbaseclinical practiceclinical research sitecohortdata integrationdeep learningdrug discoveryexperiencefollow-upgenome-widegenomic datahigh-throughput drug screeningimprovedinduced pluripotent stem cellinnovationinsertion/deletion mutationmeetingsmetabolomicsmultiple omicsnext generationnovelnovel strategiesnovel therapeuticsoperationoutreachpatient outreachphenotypic datapreservationprogramsreference genomerelating to nervous systemresearch clinical testingsample collectionscreeningsmall molecule librariessocioeconomicsstem cell biologysuccesssupport networktechnology developmenttooltranscriptome sequencingvariant detectionvirtual screening

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Abstract The Undiagnosed Diseases Network (UDN) has increased access for patients with undiagnosed diseases to the nation’s leading clinicians and scientists. Phase II of the Network will facilitate the transition of UDN efforts toward sustainability, through the expansion of clinical sites, refinement of methods, and integration with regular clinical practice. Here, we propose a program of study that will (1) facilitate timely, accurate diagnosis of patients with undiagnosed diseases; (2) improve diagnostic rates through novel approaches to data analysis and integration; and (3) explore underlying mechanisms of disease to accelerate therapeutic drug discovery. In Aim 1, we propose to evaluate patients referred to the UDN through a protocol that includes pre-visit chart review and genetic counseling followed by an individualized visit during which standardized phenotypic and environmental data are collected. Biosamples facilitate genomic, multi-omic, and cellular evaluation of disease. Expansion of fibroblasts and, in selected cases, generation of induced Pluripotent Stem Cell (iPSC) lines facilitates scientific investigation of the underlying diseases. We will expand our program of patient outreach, particularly to under-served populations. We will extend our UDN-based genomic medicine educational program both in scope and by broadening its eligibility. In Aim 2, we propose to develop and implement novel methods in areas of high potential to increase diagnostic yield. This includes algorithms for the detection of small genomic insertions and deletions as well as large scale structural variation. We will develop alignment algorithms using graph reference genomes and promote the use of long-read sequencing technologies. We will apply machine learning to the systematic integration of RNA sequencing, metabolomic, and phenotypic data with the electronic medical record and the entire medical literature to improve diagnostic yield. In Aim 3, we propose to facilitate diagnosis through enhanced cellular and model organisms phenotyping. We will implement immunomic and metagenomic approaches such as T cell, B cell and unknown organism sequencing for undiagnosed cases. We will utilize methods for moderate- and high-throughput phenotyping of iPS-derived cells and promote novel drug discovery via high throughput drug screening both with FDA- approved drugs and large scale small molecule libraries. Beyond Phase II, Stanford Medicine has made a strong commitment to the continuation of the Center for Undiagnosed Diseases at Stanford through a multi- million dollar institutional commitment. In summary, we aim to build on the success of Phase I of the UDN by streamlining processes, maximizing collaboration and outreach, optimizing computational algorithms, extending scientific investigation towards therapeutic discovery, and promoting engagement of hospital leaders, clinicians, scientists, policy-makers, and philanthropists to ensure this national resource is sustained long beyond the duration of this award.
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Diagnosing the Unknown for Care and Advancing Science (DUCAS)
  • 批准号:
    10682163
  • 项目类别:
  • 资助金额:
    $470.51万
  • 财政年份:
    2023
  • 负责人:
    Euan A Ashley
  • 依托单位:
Diagnosing the Unknown for Care and Advancing Science (DUCAS)
  • 批准号:
    10872436
  • 项目类别:
  • 资助金额:
    $355.0万
  • 财政年份:
    2023
  • 负责人:
    Euan A Ashley
  • 依托单位:
Systematically mapping variant effects for cardiovascular genes
Center for Undiagnosed Diseases at Stanford Administrative Supplement
  • 批准号:
    10677455
  • 项目类别:
  • 资助金额:
    $45.32万
  • 财政年份:
    2022
  • 负责人:
    Euan A Ashley
  • 依托单位:
海外基金