Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
批准号:
8279813
负责人:
DONALD W BOWDEN
金额:
$51.75万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-05-01 至 2017-03-31
关键词:
AccountingAfrican AmericanAmericanAtherosclerosisBlood VesselsCalcifiedCardiovascular DiseasesCarotid Artery PlaquesCharacteristicsCholesterolClinicalCodeComplementComplexComplex Genetic TraitDNADNA ResequencingDataDiabetes MellitusDiseaseDistalEthnic OriginEuropeanEvaluationEventFamilyFamily SizesFamily StudyFatty acid glycerol estersFrequenciesFutureGenesGenomicsGoalsHaplotypesHealthHeartHepaticHeritabilityHispanic AmericansHispanicsIndividualInheritance PatternsInsulin ResistanceLarge-Scale SequencingLifeLipidsLocationMeasuresMeta-AnalysisMethodsMolecular GeneticsMutationNon-Insulin-Dependent Diabetes MellitusPatternPhenotypePhysiologicalPlasmaPopulationRisk FactorsSample SizeSamplingSequence AnalysisSignal TransductionSourceTestingThickVariantadiponectinbasecardiovascular disorder riskcase controlclinically significantdesigndisorder riskethnic differenceexomeexperienceforestgenetic analysisgenetic associationgenetic linkage analysisgenetic pedigreegenetic variantgenome wide association studyinflammatory markerkindrednext generationnovelresponsetooltrait
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The goal of this study is to identify low frequency and rare coding variants that have significant biomedical impact in Hispanic Americans and African Americans. Family-based linkage analysis has been a powerful tool for identification of genes contributing to monogenic disorders. Until recently family-based approaches have been of limited utility in complex trait genetics. Searches for common genetic variants associated with complex traits have been highly successful in Genome Wide Association Studies (GWAS). It is now widely recognized, however, that common variations frequently explain only a small part of the inter-individual variation in populations. For example, numerous cardiovascular disease (CVD), type 2 diabetes, and body mass genes have been identified, but these genes collectively only explain 10% or less of the heritability. There are several possible sources for the "missing heritability". We have developed a powerful and highly efficient family-based method for identification of low frequency (LF) or rare variants which contribute significantly to phenotypic variation of complex traits in the Insulin Resistance Atherosclerosis Family Study (IRASFS). This method has been demonstrated with the identification of an LF (1.1% MAF) coding variant in the ADIPOQ (adiponectin) gene that reduces circulating adiponectin to <20% of normal in Hispanic Americans. This mutations accounts for 17% of the variance in plasma adiponectin in the entire population and accounts for the LOD score of 8.2 in linkage analysis. Based on these efforts, we hypothesize that LF and rare variants contribute substantially to the variance in CVD risk factors. We propose a combination of family-based linkage analyses, whole exome sequencing, and association analysis to identify LF/rare variants of large effect in novel genes that significantly influence a wide range of CVD risk factors. Comprehensive analysis of IRASFS Hispanic and African American families will be used to target chromosomal regions for detailed evaluation of exome sequence data. Families contributing to evidence of linkage at selected chromosomal locations will be assessed for significant coding variations. Importantly this approach enables the rapid interrogation of a wide range of CVD risk phenotypes including novel measures. Variants identified from the family-based approaches will be tested for association in the entire IRASFS sample and replicated in meta analysis of multiple Hispanic (n=6880) and African American (n=15,180) DNA samples to test the primary trait association and assess the influence of high effect variants on subclinical and clinical CVD. PUBLIC HEALTH RELEVANCE: The goal of this study is to identify low frequency and rare coding variants that have significant biomedical impact on cardiovascular disease risk in Hispanic and African Americans. The study will incorporate a combination of family-based analysis and exome sequencing.
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会议论文
Wake Forest APOLLO Scientific and Data Research Center
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批准号:9975002
-
项目类别:
-
资助金额:$5.0万
-
财政年份:2017
-
负责人:DONALD W BOWDEN
-
依托单位:
Wake Forest APOLLO Scientific and Data Research Center
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批准号:10215268
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项目类别:
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资助金额:$75.0万
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财政年份:2017
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负责人:DONALD W BOWDEN
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依托单位:
14/14 APOL1 Long-term Kidney Transplantation Outcomes Network (APOLLO) Scientific Data Research Center
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批准号:10728589
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项目类别:
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资助金额:$90.1万
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财政年份:2017
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负责人:DONALD W BOWDEN
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依托单位:
Wake Forest APOLLO Scientific and Data Research Center
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批准号:9440610
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项目类别:
-
资助金额:$75.0万
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财政年份:2017
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负责人:DONALD W BOWDEN
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依托单位:
Wake Forest APOLLO Scientific and Data Research Center
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批准号:10475327
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项目类别:
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资助金额:$20.93万
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财政年份:2017
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负责人:DONALD W BOWDEN
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依托单位:
Wake Forest APOLLO Scientific and Data Research Center
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批准号:10490832
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项目类别:
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资助金额:$75.0万
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财政年份:2017
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负责人:DONALD W BOWDEN
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依托单位:
Metabolomic Signatures of CAD Associated Genotypes
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批准号:9172683
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项目类别:
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资助金额:$68.75万
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财政年份:2016
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负责人:DONALD W BOWDEN
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依托单位:
Metabolomic Signatures of CAD Associated Genotypes
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批准号:9334928
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项目类别:
-
资助金额:$62.25万
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财政年份:2016
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负责人:DONALD W BOWDEN
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依托单位:
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
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批准号:8464763
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项目类别:
-
资助金额:$111.45万
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财政年份:2012
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负责人:DONALD W BOWDEN
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依托单位:
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
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批准号:8507934
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项目类别:
-
资助金额:$3.54万
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财政年份:2012
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负责人:DONALD W BOWDEN
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依托单位:
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
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批准号:8660319
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项目类别:
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资助金额:$116.18万
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财政年份:2012
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负责人:DONALD W BOWDEN
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依托单位:
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
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批准号:8969790
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项目类别:
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资助金额:$8.87万
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财政年份:2012
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负责人:DONALD W BOWDEN
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依托单位:
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African Americans
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批准号:8819141
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项目类别:
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资助金额:$103.26万
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财政年份:2012
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负责人:DONALD W BOWDEN
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依托单位:
GENETICS OF CV DISEASE AND COGNIITIVE IMPAIRMENT IN THE DIABETES HEART STUDY
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批准号:8167010
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项目类别:
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资助金额:$13.39万
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财政年份:2010
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负责人:DONALD W BOWDEN
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依托单位:
Whole Genome Association Analysis of the Diabetes Heart Study
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批准号:8054931
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项目类别:
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资助金额:$71.7万
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财政年份:2010
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负责人:DONALD W BOWDEN
-
依托单位:
Whole Genome Association Analysis of the Diabetes Heart Study
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批准号:8441612
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项目类别:
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资助金额:$63.02万
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财政年份:2010
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负责人:DONALD W BOWDEN
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依托单位:
Whole Genome Association Analysis of the Diabetes Heart Study
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批准号:7782636
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项目类别:
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资助金额:$72.43万
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财政年份:2010
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负责人:DONALD W BOWDEN
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依托单位:
Whole Genome Association Analysis of the Diabetes Heart Study
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批准号:8233558
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项目类别:
-
资助金额:$63.54万
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财政年份:2010
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负责人:DONALD W BOWDEN
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依托单位:
GENETICS OF CV DISEASE AND COGNIITIVE IMPAIRMENT IN THE DIABETES HEART STUDY
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批准号:7951377
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项目类别:
-
资助金额:$3.99万
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财政年份:2009
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负责人:DONALD W BOWDEN
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依托单位:
Genetic Epidemiology of Cerebrovascular Disease and Cognition in Diabetes
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批准号:7869523
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项目类别:
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资助金额:$23.84万
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财政年份:2008
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负责人:DONALD W BOWDEN
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依托单位:
海外基金