grant

Genetics of Cardiometabolic Diseases in the VA Population

Organization PHILADELPHIA VA MEDICAL CENTERLocation PHILADELPHIA, UNITED STATESPosted 1 Jan 2017Deadline 30 Sept 2027
VANIHUS FederalResearch GrantFY2025Abdominal Aortic AneurysmAcademic Medical CentersAddressAdult-Onset Diabetes MellitusAmputationAwardBMIBMI percentileBMI z-scoreBiological MarkersBody mass indexCardiac DiseasesCardiac DisordersCardiometabolic DiseaseCardiometabolic DisorderCardiovascular DiseasesClinicalClinical ResearchClinical StudyClinical effectivenessCommunitiesCoronary ArteriosclerosisCoronary Artery DiseaseCoronary Artery DisorderCoronary AtherosclerosisCross Sectional AnalysisCross-Sectional AnalysesCross-Sectional StudiesCross-Sectional SurveyDataData SystemsDevelopmentDiseaseDisease Frequency SurveysDisease ManagementDisease ProgressionDisorderDisorder ManagementDyslipidemiasEHR based researchEHR researchElectronic Health RecordEnrollmentEnvironmentEnvironmental FactorEnvironmental Risk FactorEpidemiologic ResearchEpidemiologic StudiesEpidemiological StudiesEpidemiology ResearchFamilyFundingGWA studyGWASGeneralized GrowthGeneticGenetic DeterminismGenetic RiskGenomic medicineGenomicsGoalsGrowthHealthHealth Care SystemsHeart DiseasesHeart failureHeightHepatic CancerHepatic CirrhosisHepatic DisorderIT SystemsIndividuals from minorityIndividuals of minorityInformation SystemsInformation Technology SystemsInsulin ResistanceInterdisciplinary ResearchInterdisciplinary StudyInvestigationInvestigatorsKetosis-Resistant Diabetes MellitusLife StyleLifestyleLinkLipidsLiver CirrhosisLiver diseasesMalignant neoplasm of liverManuscriptsMaturity-Onset Diabetes MellitusMeasuresMedical centerMendelian randomizationMetabolic DiseasesMetabolic DisorderMethodologyMethodsMinority GroupsMinority PeopleMinority PopulationMinority individualModelingMultidisciplinary CollaborationMultidisciplinary ResearchNAFLDNIDDMNon-Insulin Dependent DiabetesNon-Insulin-Dependent Diabetes MellitusNoninsulin Dependent DiabetesNoninsulin Dependent Diabetes MellitusObesityOrphan DiseaseParticipantPeripheral arterial diseasePhenotypePopulationPrediabetesPrediabetes syndromePrediabetic StatePredicting RiskPredisposition genePublishingQuetelet indexRare DiseasesRare DisorderResearch MethodologyResearch MethodsResearch PersonnelResearchersRisk FactorsRisk ManagementRisk-associated variantSafetyScienceSlow-Onset Diabetes MellitusStable Diabetes MellitusSusceptibility GeneT2 DMT2DT2DMTestingTherapeutic InterventionThesaurismosisTimeTissue GrowthType 2 Diabetes MellitusType 2 diabetesType II Diabetes MellitusType II diabetesUniversity Medical CentersVascular DiseasesVascular DisorderVeteransadiposityadult onset diabetesatherosclerotic coronary diseasebio-markersbiobankbiologic markerbiomarkerbiorepositoryblood vessel disordercardiac failurecardiometaboliccardiometabolismcardiovascular disorderclinical relevanceclinical riskclinically relevantcohortcooperative studycoronary arterial diseasecorpulencedevelopmentalelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health record based researchelectronic health registryelectronic medical health recordenrollenvironmental riskepidemiologic investigationepidemiology studyexperienceforecasting riskgenetic determinantgenetic epidemiologic studygenetic epidemiologygenome medicinegenome wide associationgenome wide association scangenome wide association studygenomewide association scangenomewide association studyheart disorderhepatic diseasehepatopathyimprovedinsightinsulin resistantinsulin toleranceinternet based platforminternet platformintervention therapyketosis resistant diabeteslife-style factorlifestyle factorsliver cancerliver disorderliver malignancymacrovascular complicationmacrovascular diseasemalignant liver tumormaturity onset diabetesmeetingmeetingsmetabolism disordernon-alcohol fatty liver diseasenon-alcoholic fatty liver diseasenon-alcoholic liver diseasenonalcoholic fatty liver diseasenovelontogenyorphan disorderperipheral artery diseasephenotypic dataphenotyping algorithmpleiotropic effectpleiotropismpleiotropypolygenetic risk scorespolygenic risk scorepre-clinicalpre-diabetespre-diabeticpreclinicalprediabeticpredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive riskpredicts riskpredisposing geneprogramsprospectiveresearch and methodsrisk allelerisk generisk genotyperisk locirisk locusrisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsrisk variantsusceptibility allelesusceptibility locussusceptibility varianttherapeutic targettraittype 2 DMtype II DMtype two diabetesvascular dysfunctionvasculopathyweb based platformweb based systemweb enabled platformweb platformwhole genome association analysiswhole genome association studywork groupworking group
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Full Description

Cardiometabolic disorders including obesity, insulin resistance, related dyslipidemia, and type 2 diabetes (T2DM)
are highly prevalent among U.S. Veterans and serve as major factors in the development of heart, vascular and

liver diseases. We have assembled a multi-disciplinary research team from multiple VA and academic medical

centers with expertise in cardiovascular and metabolic disease, clinical and epidemiological research, EHR

based research methods, genetic epidemiology, and statistical genetics, to participate in the Million Veteran

Program (MVP) through the Beta-test award entitled “Genetics of Cardiometabolic Diseases in the VA

Population”. In addition, we have helped establish a highly synergistic network of trait- and methodology-based

Working Groups that have facilitated collaborative projects among several funded Beta-test teams. Since first

gaining access to MVP genetic and phenotypic data in GenISIS less than 18 months ago, we have contributed

substantially to or led studies that have confirmed and/or identified >500 susceptibility loci for body mass index,

height, prediabetes, T2D, dyslipidemia, non-alcoholic fatty liver disease (NAFLD), coronary artery disease

(CAD), and peripheral artery disease (PAD). We have disseminated our findings to the scientific community

through >20 presentations at national meetings and have submitted or are preparing to submit multiple

manuscripts related to these initial efforts. For the current renewal application, we propose to continue this line

of investigation with particular focus in leveraging longitudinal information related to time course of disease. In

Aim 1, we will build on our momentum of our initial genome wide association studies (GWAS) of prevalent

disease and single time point measures of quantitative traits by expanding our efforts to examine the genetic

basis of the longitudinal progression of cardiometabolic traits including increasing BMI; pre-diabetes to type 2

diabetes, manifestation of micro- and macro-vascular complications in T2D, NAFLD to liver cirrhosis and cancer,

pre-clinical conditions to CHD, PAD, and abdominal aortic aneurysm (AAA) disease. In Aim 2, we will explore

the pleiotropic relationships between multiple cardiometabolic traits as well as with non-cardiometabolic traits in

the MVP and the UK Biobank. Moreover, we will conduct participant-level Mendelian Randomization studies to

more robustly document causal links between highly correlated pairs of traits identified through our pleiotropy

analyses. Finally, in Aim 3, we will assess the discriminatory power of derived polygenic risk scores for

cardiometabolic diseases in the VA population, with specific emphasis upon evaluating their value in different

minority populations. Our overarching hypothesis is that elucidating the genetic underpinnings of cardiometabolic

conditions and their interactions with environmental and/or lifestyle factors will provide a more precise

understanding of disease progression over time, thereby informing more targeted genomic medicine-based

disease management throughout the course of Veterans' lives.

Grant Number: 5I01BX003362-09
NIH Institute/Center: VA

Principal Investigator: Kyong-Mi Chang

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