grant
Leveraging multi-omics for endotyping to identify subtypes and mechanisms of cardiometabolic diseases
Organization VANDERBILT UNIVERSITY MEDICAL CENTERLocation NASHVILLE, UNITED STATESPosted 5 May 2023Deadline 30 Apr 2028
NIHUS FederalResearch GrantFY202521+ years oldAddressAdultAdult HumanBig DataBigDataBioinformaticsBiologicalBiological MarkersBiologyBloodBlood PlasmaBlood Reticuloendothelial SystemCardiometabolic DiseaseCardiometabolic DisorderClinicalConsensusCoronary ArteriosclerosisCoronary Artery DiseaseCoronary Artery DisorderCoronary AtherosclerosisDNADataData SetDeoxyribonucleic AcidDevelopmentDiabetes MellitusDiathesisDiseaseDisease ClusteringsDisease ProgressionDisease susceptibilityDisorderElectronic Health RecordFramingham Heart StudyGWA studyGWASGene ExpressionGenotypeGoalsHypertensionIndividualIntermediary MetabolismJackson Heart StudyKnowledgeLinkMeasurementMeasuresMediatingMediatorMetabolic ProcessesMetabolic syndromeMetabolismMethodsMorbidityMorbidity - disease rateMulti-Ethnic Study of AtherosclerosisMultiomic DataNHLBINational Heart, Lung, and Blood InstituteNetwork AnalysisObesityOnset of illnessParticipantPathway AnalysisPatientsPhenotypePlasmaPlasma SerumProspective cohortProteomeProteomicsPublic HealthResearchResearch ResourcesResourcesReticuloendothelial System, Serum, PlasmaRiskRisk FactorsScientistSubgroupTOPMedTestingTherapeuticTimeTrainingTrans-Omics for Precision MedicineVascular Hypertensive DiseaseVascular Hypertensive Disorderadiposityadulthoodatherosclerotic coronary diseasebariatric surgerybio-markersbiobankbiologicbiologic markerbiomarkerbiorepositorycardiometaboliccardiometabolic riskcardiometabolismclinical diagnosisclinical relevanceclinically relevantcoronary arterial diseasecorpulencedevelopmentaldiabetesdisease onsetdisease riskdisease subgroupsdisease subtypedisorder onsetdisorder riskdisorder subtypeelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordexperiencegastric bandinggastric bypass surgerygenome wide associationgenome wide association scangenome wide association studygenomewide association scangenomewide association studyglobal gene expressionglobal transcription profilehigh blood pressurehigh dimensionalityhigh riskhyperpiesiahyperpiesishypertensive diseasehypertensive disorderimplantable gastric stimulation bandingimprovedinnovateinnovationinnovativeliability to diseasemetabolism measurementmetabolomemetabolomicsmetabonomemetabonomicsmortalitymultiomicsmultiple omic datamultiple omicsnetwork modelsnovelobese patientsobesity surgerypanomicspatients with obesitypersonalized diagnosispersonalized diagnosticsphenomephenotypic datapolygenetic risk scorespolygenic risk scoreprecise diagnosticsprecision diagnosticspredict responsivenesspredicting responsepreventpreventingprogramsresponse to therapyresponse to treatmentrisk stratificationskillssmall moleculestomach staplingstratify riskstudy populationtargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttherapeutic responsetherapy responsetooltraining opportunitytranscriptometranscriptomicstreatment responsetreatment responsivenesstreatment strategyweight loss surgerywhole genome association analysiswhole genome association study
Description preview
Project Summary
Prior studies have identified several risk factors related to cardiometabolic diseases. However, the rates of risk
factor elevation are highly variable among patients. For example, despite obesity being identified as a primary
risk factor for cardiometabolic diseases, a subgroup of obese patients does not develop downstream…
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