grant

Bioinformatics and Data Management Core

Organization INDIANA UNIVERSITY INDIANAPOLISLocation INDIANAPOLIS, UNITED STATESPosted 30 Sept 2016Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY2025AD dementiaAD modelAgeAlzheimer Type DementiaAlzheimer disease dementiaAlzheimer sclerosisAlzheimer syndromeAlzheimer'sAlzheimer's DiseaseAlzheimer's disease modelAlzheimer's disease therapeuticAlzheimer's therapeuticAlzheimers DementiaAssayAutomobile DrivingBioassayBioinformaticsBioinformatics coreBioinformatics research coreBioinformatics resource coreBiologicalBiological AssayBiological MarkersBiologyCellular ExpansionCellular GrowthCohort StudiesCommunitiesComputer AnalysisConcurrent StudiesDataData AnalysesData AnalysisData Management CoreDimensionsDiseaseDisease PathwayDisorderDysfunctionEnvironmental FactorEnvironmental Risk FactorEuropean ancestryFAIR dataFAIR guiding principlesFAIR principlesFindable, Accessible, Interoperable and Re-usableFindable, Accessible, Interoperable, and ReusableFoundationsFunctional RNAFunctional disorderFundingGene variantGeneticGenetic LoadGenetic studyGenomeGoalsHumanImageInvestigatorsJointsKnowledge PortalKnowledge base PortalKnowledgebase PortalLate Onset Alzheimer DiseaseMetadataMethodsMiceMice MammalsModelingModern ManMolecularMonitorMouse StrainsMultiomic DataMurineMusNoncoding RNANontranslated RNAOutcomePathologyPathway interactionsPhysiopathologyPopulationPositionPositioning AttributePrecision therapeuticsPreclinical TestingPrimary Senile Degenerative DementiaProcessProtocolProtocols documentationResearchResearch PersonnelResearch ResourcesResearchersResourcesSystemTherapeuticTherapeutic UsesUntranslated RNAVariantVariationagesallelic variantalzheimer modelbio-markersbiologicbiologic markerbiomarkercandidate biomarkercandidate markercell growthcohortcomputational analysescomputational analysiscomputer analysesdata disseminationdata interpretationdata managementdata management and coordinating centerdata management centerdata modalitiesdata modelingdata re-usedata reusedrivingempowermentenvironmental riskgenetic variantgenome scalegenome-widegenomewidegenomic varianthuman diseasehuman studyimaginginternet based platforminternet platformlate onset alzheimermachine learning based methodmachine learning methodmachine learning methodologiesmeta datamodel of datamodel the datamodeling of the datamouse modelmulti-modalitymultimodalitymultiomicsmultiple omic datamultiple omicsmurine modelnoncodingopen dataopen scienceopen-source datapanomicspathophysiologypathwaypolygenic predictorspolygenic scorespre-clinicalpre-clinical studypre-clinical testingprecision therapiesprecision treatmentpreclinicalpreclinical studyprimary degenerative dementiaquality assuranceresilienceresilientsenile dementia of the Alzheimer typeshareable platformsharing platformtherapeutic candidatetoolweb based platformweb based systemweb enabled platformweb platform
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Full Description

PROJECT SUMMARY BIOINFORMATICS AND DATA MANAGEMENT (BDMC) CORE
Creating and establishing the translational relevance of mouse models of late-onset Alzheimer’s disease requires

a centralized data management and analysis platform interacting with all Center components. To this end, the

Bioinformatics and Data Management Core (BDMC) will: combine human and mouse data to predict

combinations of genetic factors in polygenic models of LOAD; jointly analyze multi-omics, biomarker, and

imaging data to characterize new mouse models of LOAD; systematically align multimodal mouse data to

analogous human study data to determine the precise disease relevance of each mouse models; identify mouse

models with alterations in pathways targeted by precision therapeutics for preclinical testing; expand, maintain,

and further populate a data-sharing platform for broad and FAIR access of all data and protocols. This core will

address this goal through the following aims: (1) Iteratively analyze human and mouse data to prioritize multi-

factorial mouse models of LOAD; (2) Determine translational relevance of mouse models through alignment with

human LOAD and identification of therapeutically-relevant alterations; (3) Enable open science practices for all

Center mouse models through data dissemination and an interactive web platform. The BDMC will build upon

existing resources such as the AD Knowledge Portal, the MODEL-AD Explorer, the Agora platform, Alz-PED,

and the workflows from existing NIA-funded consortia, including AMP-AD, TREAT-AD, MODEL-AD, MOVE-AD,

and Resilience-AD. We will add the outcomes of this mouse-centered project to this foundation to optimize

translational relevance and responsible data reuse. Internal and external researchers will be positioned to

efficiently and reliably assess the disease relevance of mouse models. Finally, the broader research community

will be empowered to use responsibly use mouse models to understand and guide their research into

therapeutics for Alzheimer’s disease.

Grant Number: 5U54AG054345-10
NIH Institute/Center: NIH

Principal Investigator: Gregory Carter

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