Complex Trait Analysis of Erythropoiesis in Normal Populations
Complex Trait Analysis of Erythropoiesis in Normal Populations
批准号:
8233683
负责人:
LUANNE L PETERS
金额:
$5.06万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-04-06 至 2011-12-31
关键词:
AbbreviationsAdultAgeAgingAnemiaAnimal ModelAnimalsBioinformaticsBloodBlood PlateletsCandidate Disease GeneCardiovascular PathologyCellsChromosomesComplete Blood CountComplexComputer SimulationConfidence IntervalsDataDatabasesDisease OutcomeErythrocytesErythropoiesisEtiologyFinding of Mean Corpuscular HemoglobinGeneral PopulationGenesGeneticGenetic DeterminismGenetic PolymorphismGenomeGenomicsGrantHaplotypesHeart DiseasesHematocrit procedureHematological DiseaseHematologyHematopoiesisHemoglobinHumanLaboratoriesLaboratory miceLengthLeukocytesLung diseasesMean corpuscular hemoglobin concentration determinationMusNamesPathologyPhenotypePolymorphic Microsatellite MarkerPopulationProtocols documentationPublic HealthQuantitative Trait LociRed Blood Cell CountRegression AnalysisRegulationRegulatory PathwayResearch PersonnelRisk FactorsScanningSeverity of illnessSickle Cell AnemiaSingle Nucleotide PolymorphismSleep DisordersStatistical MethodsStrokeThalassemiaThe Jackson Laboratorybaseimprovedmanmean corpuscular volume observedmortalitynew therapeutic targetnovelnovel diagnosticsperipheral bloodphenometraitweb site
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): A substantial genetic contribution underlies steady state peripheral blood counts. Notably, baseline hematological parameters are significant, independent risk factors for early mortality, heart disease and stroke in the general population, and for disease severity in sickle cell disease and thalassemia. In preliminary quantitative trait locus/loci (QTL) analyses in mice, we have identified specific chromosomal regions influencing multiple baseline hematological parameters, including red blood cell (RBC) count, hemoglobin (Hgb) and hematocrit (Hct) levels, and mean corpuscular volume (MCV). Based on these preliminary studies, we hypothesize that novel genes which significantly impact normal hematopoiesis exist and propose an unbiased approach to begin unraveling this genetic network, focusing on erythropoietic traits. The specific aims are to: Aim 1. Analyze F2 intercrosses to identify chromosome regions influencing baseline hematological traits. We will (a) add additional F2 animals and polymorphic markers to narrow existing QTL intervals identified for RBC count, Hgb, Hct, MCV, and MCH QTL; and (b) establish and analyze three new crosses to identify additional QTL, generating at least 500 F2 animals in each. Aim 2. Narrow QTL intervals using genomic, statistical, and bioinformatic approaches. We will utilize genomic and in silico approaches to narrow QTL intervals. In silico analyses will include combined cross analysis, a statistical method developed by Co-Pi Dr. Gary Churchill, and haplotype analysis. Aim 3. Identify and analyze candidate genes. We will pursue candidate gene analysis for the most robust QTL identified in Aims 1 and 2. Furthermore, we will make available publicly all QTL intervals identified, allowing any investigator to immediately pursue candidate gene analysis in animal models and in human populations by association studies.
Relevance to Public Health: Genes regulating peripheral blood traits profoundly influence disease outcome in man. Identifying the primary genetic determinants of baseline peripheral blood traits will enhance our understanding of blood formation and provide novel diagnostic and therapeutic targets for hematological and cardiovascular pathologies.
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海外基金