Identification of Prediabetes Genes by Expression Linkage Analysis
Identification of Prediabetes Genes by Expression Linkage Analysis
批准号:
8241964
负责人:
CHRISTOPHER P JENKINSON
金额:
$49.01万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-15 至 2014-02-28
关键词:
AbdomenAdipose tissueAgeAmputationAreaAtherosclerosisBiological MarkersBiopsyBlindnessBloodBlood specimenCandidate Disease GeneCellsCessation of lifeChromosomesClinicalClinical ResearchComplexDNA ResequencingDNA SequenceDataDevelopmentDiabetes MellitusDiseaseDyslipidemiasEligibility DeterminationEnd stage renal failureEnvironmentEpidemicEvaluationFamilyFastingFatty acid glycerol estersFutureGall Bladder DiseasesGenderGene ExpressionGene FrequencyGenesGeneticGenetic MarkersGenetic Predisposition to DiseaseGenotypeHealthHumanHypertensionIndividualInflammationInfusion proceduresInheritedInsulinInsulin ResistanceLeukocytesLinkMapsMeasurableMeasurementMeasuresMedicalMethodsMinorMononuclearMuscleNational Institute of Diabetes and Digestive and Kidney DiseasesNon-Insulin-Dependent Diabetes MellitusOGTTObesityParticipantPatientsPatternPharmacotherapyPhasePhysiologicalPopulationPrediabetes syndromePredispositionPromoter RegionsProteomicsPublic HealthQuantitative Trait LociRNAReportingResearchResolutionRiskRisk FactorsSNP genotypingSamplingScreening procedureSerumSkeletal MuscleStatistical MethodsSurrogate MarkersSusceptibility GeneTestingTimeTissue SampleTissue-Specific Gene ExpressionTissuesTranscriptional RegulationUnited States Department of Veterans AffairsValidationVariantVisitWestern Blottingbasal insulincytokineepidemiology studygenetic associationgenetic epidemiologygenetic linkagegenetic linkage analysisgenetic resourcegenetic variantgenome-wideimprovedin vivonon-diabeticnovelresponsesubcutaneoussuccesstrait
中文摘要
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英文摘要
The NIDDK has identified the genetics of type 2 diabetes mellitus (T2D) as one of five high priority areas for
research. Specifically ¿Studies using quantitative statistical methods to identify diabetes genes in human
populations.¿ and ¿Development of genetic resources, patient samples and methods for studying genetic
linkage for diabetes.¿ We propose here a novel two pronged strategy to identify genes for diabetes
susceptibility (prediabetes). This powerful multilayered approach combines genome-wide gene expression with
genetic linkage and association screening. In brief, the two Aims of this study are as follows. Aim 1: A high
resolution association study of gene expression in vivo in three key tissues, adipose tissue, skeletal muscle
and mononuclear cells (MNCs) in 40 matched pairs of unrelated subjects who differ by fasting specific insulin
(FSI) a surrogate marker of insulin resistance (IR). Gene expression will be measured under fasted conditions
in the three tissues, and in response to insulin stimulation during an insulin clamp for skeletal muscle and
MNCs. Aim 2: A family-based linkage study of gene expression in MNCs from 1,000 subjects, who have
previously been genotyped, from two large ongoing genetic studies, the Veterans Administration Genetic
Epidemiology Study (VAGES) and the San Antonio Family Diabetes/Gallbladder Disease Study (SAFDGS).
We will perform preliminary functional evaluation of the strongest candidate genes identified in the study. We
previously reported strong evidence in those studies of linkage of IR traits with chromosome 6q23. We
hypothesize that there is differential expression of genes involved in inflammation and insulin action in adipose
tissue, skeletal muscle and leukocytes from subjects with differential risk for prediabetes, as manifested by IR,
and that this pattern of differential gene expression contributes to T2D susceptibility. RELEVANCE TO PUBLIC HEALTH: Type 2 diabetes mellitus (T2D) is the leading cause of blindness, end
stage renal disease, non-traumatic amputations, and it increases the risk for other serious medical disorders
such as hypertension, dyslipidemia, and atherosclerotic cardiovascular disease, and is the fifth leading cause
of disease-related death in the US. Thus, T2D represents a huge public health problem that is projected to
worsen in the coming decades, particularly as the mean age of the population increases. Insulin resistance
(IR), usually associated with obesity, is a major risk factor for the development of T2D, however, the genes
which predispose some individuals to these diseases are unknown. Identification of IR genes will greatly
improve our understanding of how these diseases occur and provide new biomarkers of disease and treatment
targets for future drug therapy and hope for alleviation of the accelerating diabetes/obesity epidemic.
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Identification of Prediabetes Genes by Expression Linkage Analysis
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批准号:8432037
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项目类别:
-
资助金额:$49.81万
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财政年份:2008
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
Identification of Prediabetes Genes by Expression Linkage Analysis
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批准号:8020935
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项目类别:
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资助金额:$50.69万
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财政年份:2008
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
Identification of Prediabetes Genes by Expression Linkage Analysis
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批准号:7676027
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项目类别:
-
资助金额:$51.34万
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财政年份:2008
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
MOLECULAR CHARACTERIZATION OF PC-1 IN TYPE 2 DIABETES IN MEXICAN-AMERICANS
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批准号:7378143
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项目类别:
-
资助金额:$0.13万
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财政年份:2006
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
Diabesity Gene Discovery at Chromosome 6q23
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批准号:7029718
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项目类别:
-
资助金额:$45.06万
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财政年份:2004
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
Molecular Characterization Of PC-1 In NIDDM Mexican Amer
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批准号:6972344
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项目类别:
-
资助金额:$0.25万
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财政年份:2004
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
Diabesity Gene Discovery at Chromosome 6q23
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批准号:6873619
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项目类别:
-
资助金额:$45.33万
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财政年份:2004
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负责人:CHRISTOPHER P JENKINSON
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依托单位:
Diabesity Gene Discovery at Chromosome 6q23
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批准号:7414438
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项目类别:
-
资助金额:$44.45万
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财政年份:2004
-
负责人:CHRISTOPHER P JENKINSON
-
依托单位:
Diabesity Gene Discovery at Chromosome 6q23
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批准号:6767404
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项目类别:
-
资助金额:$45.69万
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财政年份:2004
-
负责人:CHRISTOPHER P JENKINSON
-
依托单位:
Diabesity Gene Discovery at Chromosome 6q23
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批准号:7211512
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项目类别:
-
资助金额:$44.54万
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财政年份:2004
-
负责人:CHRISTOPHER P JENKINSON
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依托单位:
海外基金