Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study Sites
Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study Sites
批准号:
10424453
负责人:
Sally Nneoma Adebamowo
金额:
$95.03万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-06-08 至 2026-03-31
关键词:
AdmixtureAffectAfricaAfricanAfrican AmericanAfrican American populationAfrican ancestryAlgorithmsAllelesAmericanBiologicalBlood PressureBody mass indexCardiometabolic DiseaseCardiovascular DiseasesCause of DeathChronic DiseaseClinical ManagementCohort StudiesCommunicable DiseasesComplexCountryCreatineDataData CollectionData SetDevelopmentDiabetes MellitusDiagnosisDiseaseDyslipidemiasEnvironmentEnvironmental Risk FactorEthnic OriginEtiologyEuropeanFundingGene FrequencyGeneticGenetic RiskGenetic VariationGenomeGenomic SegmentGenomicsGenotypeGlucoseGuidelinesHealthHealth PolicyHeart DiseasesHeredityHeterogeneityHumanHypertensionIndividualInsulinJamaicanJointsKidney DiseasesKnowledgeLeadLife StyleLinkage DisequilibriumLipidsMethodsModelingMorbidity - disease rateNorth AmericaNorthern AfricaObesityParticipantPatientsPerformancePersonsPhenotypePopulationPopulation AnalysisPopulation HeterogeneityPopulation StudyPrevention strategyProcessProtocols documentationPublic HealthPublicationsQuality ControlResearchResourcesRiskRisk FactorsScientistScoring MethodSignal TransductionSiteStrokeStructureTarget PopulationsTranslatingTrustUnited States National Institutes of HealthVariantWorkbaseburden of illnesscardiometabolismclinical riskcohortdashboarddata harmonizationdata integrationdata standardsdiagnostic strategydisorder riskdiverse datagenome wide association studygenomic datagenomic variationhealth disparityhealth inequalitiesimprovedinsightinteractive toollifestyle datamachine learning methodmembermortalitymulti-ethnicnovelphenotypic datapolygenic risk scorepopulation stratificationpreventtooltraitworking group
中文摘要
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英文摘要
Abstract/Summary
Globally, non-communicable diseases (NCDs) outrank infectious diseases in terms of public health burden.
Cardiometabolic diseases (CMD) such as heart disease and stroke are the leading causes of death worldwide.
In this application we will explore the genomic risk for common CMD, including hypertension, stroke, diabetes,
obesity, dyslipidemia and kidney disease, and related traits (including BMI, blood pressure, lipid, glucose, insulin
and creatine) across populations with African ancestry (AA). There is evidence to suggest that polygenic risk
scores (PRSs) translate poorly from a discovery study in one ancestral population (e.g. European Americans) to
a target population (e.g. sub-Saharan Africans), especially when they are separated by large genetic differences.
However, this has not been evaluated with large, well-powered AA datasets. Furthermore, the high genetic
diversity and population structure among non-European Ancestry (EA) populations need to be investigated to
understand the performance of PRSs in other regions populated by people with diverse genomic backgrounds.
We bring together the Human Heredity and Health in Africa Consortium (H3Africa), other African, Jamaican and
African American core cohorts, to develop a joint resource of over 50,000 participants with relevant phenotype
and genomics data, referred to as the CARdiometabolic Disorders IN African-ancestry PopuLations
(CARDINAL) Study Site. In addition, the CARDINAL Study Site will include 5 replication cohorts with >100,000
participants from diverse ancestry populations. Our main objective is to establish a Study Site for PRS
Methods and Analysis for AA Populations and to collaboratively generate and refine PRS for other
populations of diverse ancestry by integrating existing datasets with genomics and phenotype data for
a range of complex diseases and traits. Our first aim is to integrate phenotype and genomic datasets from
~50,000 African individuals from seven individual cohort studies. Subsequently, we will evaluate PRSs and
develop a novel method that takes into consideration, ancestry-specific genomic regions to improve prediction
of PRSs in populations characterised by genetic sub-structure. Finally, we will develop an interactive dashboard
for dissemination of PRS-related data from diverse ancestry populations. CARDINAL Study Site is ideal for
generating novel biologic insights into complex disease etiology, with applications in global populations.
Members of the CARDINAL team have successfully worked together for about a decade, generating and
disseminating scientific knowledge through high impact publications. By establishing a Study Site in the
Polygenic Risk Score Diversity Consortium, CARDINAL brings the largest cohort of African-ancestry
participants to the table, to explore the genomics contribution to common CMDs and other NCDs.
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会议论文
Leveraging pleiotropy to develop polygenic risk scores for cardiometabolic diseases
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批准号:10797389
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项目类别:
-
资助金额:$15.45万
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财政年份:2023
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负责人:Sally Nneoma Adebamowo
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依托单位:
Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study Sites
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批准号:10212798
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项目类别:
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资助金额:$95.85万
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财政年份:2021
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负责人:Sally Nneoma Adebamowo
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依托单位:
Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study Sites
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批准号:10610936
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项目类别:
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资助金额:$93.52万
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财政年份:2021
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负责人:Sally Nneoma Adebamowo
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依托单位:
海外基金