CHARGE consortium: omics discovery for CVD and aging phenotypes
CHARGE consortium: omics discovery for CVD and aging phenotypes
批准号:
10669243
负责人:
Bruce M Psaty
金额:
$60.41万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
未结题
起止时间:
2011-02-15 至 2025-06-30
关键词:
AbbreviationsAccelerationAddressAgeAgingAlzheimer&aposs DiseaseAtherosclerosis Risk in CommunitiesAwardBiological AssayBiological ProcessBiologyBody CompositionCardiovascular DiseasesCardiovascular systemCohort StudiesCollaborationsCoronary Artery Risk Development in Young Adults StudyDNA MethylationDataDiabetes MellitusDiseaseEcosystemEducational workshopEnvironmentEpidemiologyEventFosteringFramingham Heart StudyFrequenciesFundingFutureGene Expression ProfilingGenesGeneticGenomicsGoalsGrantHealthHeartHispanic Community Health StudyIncentivesIndividualInfrastructureInternationalJackson Heart StudyJournalsLatino PopulationLinkLongitudinal StudiesMalignant NeoplasmsManuscriptsMeasuresMendelian randomizationMeta-AnalysisMethodsMulti-Ethnic Study of AtherosclerosisNational Heart, Lung, and Blood InstituteParticipantPhenotypePositioning AttributePredispositionProspective, cohort studyProteomicsPublicationsResearchResearch PersonnelResourcesRisk FactorsRunningSample SizeScienceScientistSystemTestingTimeTrainingTrans-Omics for Precision MedicineTravelUnited KingdomUnited States National Institutes of HealthVariantVeteransanalytical methodbiobankcardiovascular healthcareercatalystcohortdatabase of Genotypes and Phenotypesexomegenetic epidemiologygenetic variantgenome wide association studygenomic datagenomic epidemiologygenomic locusimprovedindexinginsightmeetingsmetabolomicsnovelpolygenic risk scorepopulation basedprogramsprospectivescientific organizationstomach cardiasuccesstherapeutic targettraitvolunteerweb sitewebinarwhole genomeworking group
中文摘要
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英文摘要
Consortia of genome-wide association studies (GWAS) have often organized around specific phenotypes
such as diabetes to discover associations with genetic variants. In contrast, the Cohorts for Heart and Aging
Research in Genomic Epidemiology (CHARGE) Consortium was formed from large population-based cohort
studies to facilitate prospectively-planned GWAS meta-analyses of a wide range of phenotypes. Expanded
from the original 5 studies to 10, CHARGE cohorts have repeated measures of risk factors, subclinical
disease measures, and cardiovascular events. Their collaboration represents a unique resource for
identifying and validating genetic loci associated with a variety of cardiovascular and aging phenotypes.
Since 2011, HL105756 has supported the CHARGE consortium, which has 977 publications, many in high-
impact journals, more than 51,000 citations, and an h-index of 113. In recent years, investigators from the
CHARGE cohorts have obtained not only additional genetic data—both whole-genome sequence (WGS)
data on 54,771 participants and whole-exome sequence (WES) data on 26,383; but also a variety of omics
data, some at multiple time points, including 1) 53,780 DNA methylation assays on 38,682 participants; 2)
17,175 gene expression assays on 13,305; 3) 43,660 metabolomic assays on 34,110; and 4) 52,707
proteomics assays on 36,043. CHARGE and its 38 active Working Groups (WGs), which collaborate and
coordinate with NIH programs such as the NHLBI’s TOPMed, are well positioned to accommodate new
directions in genetic epidemiology—large-scale collaborations for discovery and the use of various methods
and omics data to define function. New to this application are the participation by the Million Veteran
Program, the transition of the CHARGE Analysis Commons to run on the NHLBI’s BioData Catalyst
ecosystem, and the addition of the CHARGE Polygenic Risk Scores, Academic Biobank, and Proteomics
WGs. The goals of this competing renewal are to accelerate discovery of mechanisms underlying diseases
of the cardiovascular system through robust analysis of genomic data and to discover the function of the
associated variants through analytic methods and integration with existing and emerging omics data. The
aims of this competing renewal application are: 1) to provide coordinating-center-like administrative support
for CHARGE, its committees, and WGs; 2) to organize two major meetings per year as well as ancillary
workshops; 3) to organize monthly webinars; 4) to provide CHARGE-meeting travel awards for early-career
investigators who submit the best abstracts; 5) to provide administrative support for the Analysis Commons
and the CHARGE dbGaP Summary Results Website; and 6) to provide modest support for the participating
cohorts and committees. For early-career investigators, who have often championed CHARGE analyses
and manuscripts, the CHARGE consortium has become a de facto international training ground for
collaborative epidemiological efforts in the genetics of aging and CVD.
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DOI:
10.1056/nejmoa1109034
发表时间:
2013-02-07
期刊:
The New England journal of medicine
影响因子:
--
作者:
[Thanassoulis G, Campbell CY, Owens DS, Smith JG, Smith AV, Peloso GM, Kerr KF, Pechlivanis S, Budoff MJ, Harris TB, Malhotra R, O'Brien KD, Kamstrup PR, Nordestgaard BG, Tybjaerg-Hansen A, Allison MA, Aspelund T, Criqui MH, Heckbert SR, Hwang SJ, Liu Y, Sjogren M, van der Pals J, Kälsch H, Mühleisen TW, Nöthen MM, Cupples LA, Caslake M, Di Angelantonio E, Danesh J, Rotter JI, Sigurdsson S, Wong Q, Erbel R, Kathiresan S, Melander O, Gudnason V, O'Donnell CJ, Post WS, CHARGE Extracoronary Calcium Working Group]
通讯作者:
CHARGE Extracoronary Calcium Working Group
DNA methylation analysis is used to identify novel genetic loci associated with circulating fibrinogen levels in blood
DNA 甲基化分析用于识别与血液中循环纤维蛋白原水平相关的新遗传位点
DOI:
10.1016/j.jtha.2023.01.015
发表时间:
2023
期刊:
Journal of Thrombosis and Haemostasis
影响因子:
10.4
作者:
[Hahn J]
通讯作者:
Hahn J
DOI:
10.1182/bloodadvances.2023010023
发表时间:
2024-01-09
期刊:
Blood advances
影响因子:
7.5
作者:
[]
通讯作者:
DOI:
10.1016/s2213-8587(15)00034-0
发表时间:
2015-04
期刊:
The lancet. Diabetes & endocrinology
影响因子:
--
作者:
[Interleukin 1 Genetics Consortium]
通讯作者:
Interleukin 1 Genetics Consortium
DOI:
10.1038/s42003-022-03287-y
发表时间:
2022-04-08
期刊:
Communications biology
影响因子:
5.9
作者:
[Sarnowski C, Ghanbari M, Bis JC, Logue M, Fornage M, Mishra A, Ahmad S, Beiser AS, Boerwinkle E, Bouteloup V, Chouraki V, Cupples LA, Damotte V, DeCarli CS, DeStefano AL, Djoussé L, Fohner AE, Franz CE, Kautz TF, Lambert JC, Lyons MJ, Mosley TH, Mukamal KJ, Pase MP, Portilla Fernandez EC, Rissman RA, Satizabal CL, Vasan RS, Yaqub A, Debette S, Dufouil C, Launer LJ, Kremen WS, Longstreth WT, Ikram MA, Seshadri S]
通讯作者:
Seshadri S
共 254 条
Innate and adaptive immune-cell densities as risk factors for heart failure
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Rare variants and NHLBI traits in deeply phenotyped cohorts
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Rare variants and NHLBI traits in deeply phenotyped cohorts
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资助金额:$300.0万
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T-cell subsets as CVD risk factors in CHS and MESA
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批准号:8890872
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资助金额:$70.8万
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依托单位:
Rare variants and NHLBI traits in deeply phenotyped cohorts
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批准号:9034657
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资助金额:$69.05万
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依托单位:
T-cell subsets as CVD risk factors in CHS and MESA
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Prospective meta-analyses of drug-gene interactions: CHARGE GWAS consortium
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CHARGE consortium: gene discovery for CVD and aging phenotypes
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CHARGE consortium: gene discovery for CVD and aging phenotypes
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依托单位:
海外基金