India US Genetic Study of Ocular Quantitative Traits
India US Genetic Study of Ocular Quantitative Traits
批准号:
7770797
负责人:
Janey L Wiggs
金额:
$21.35万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-03-01 至 2012-02-28
关键词:
AgingBiological MarkersBlindnessBlood specimenCataractChromosome MappingClinicalCollectionComplexCountryDNADataDetectionDiabetic RetinopathyDiagnosisDisciplineDiseaseElderlyEnrollmentEnvironmental ExposureFamilyFamily memberFutureGenesGeneticGenomeGenomicsGlaucomaGoalsGrantHumanIndiaIndividualInterviewLeadLifeLymphocyteMacular degenerationMapsMeasurementMeasuresMethodsMolecular GeneticsMotivationNuclear FamilyOphthalmologyParticipantPilot ProjectsPlasmaPopulationPrevalenceProteinsQuantitative Trait LociQuestionnairesResearchResearch PersonnelResource DevelopmentResourcesRiskRisk FactorsRuralSNP genotypingSamplingStatistical MethodsStructureage relateddatabase of Genotypes and Phenotypesdensityexpectationgene discoverygene environment interactiongenetic epidemiologygenetic pedigreehuman diseasemembermortalityperipheral bloodsimulationsmall moleculetrait
中文摘要
描述(由申请人提供):该探索性资助的主要目的是确定近亲谱系对数量性状作图的价值,并对选定的数量性状进行初步基因作图研究,这些数量性状是常见眼部复杂疾病(如青光眼和黄斑变性)的重要风险因素。一个长期的目标是使用这种方法来开发和支持基因型/表型数据库,使研究人员能够发现,评估和验证基因和生物标志物的数量性状,有助于复杂的人类眼病。该项目的一个主要动机是期望获得的资源将为确定人类致盲疾病的重大风险因素提供新的机会。除了表型和基因型数据外,还将收集环境信息,以帮助研究基因与环境的相互作用。从每名研究参与者采集的血液样本的DNA和血浆将被储存用于未来的基因组、蛋白质和小分子分析,预计这些信息将导致一些复杂眼部疾病的遗传预测因子和生物标志物的鉴定。这个建议的基本假设是,血缘家系可以提供更多的信息,定位基因负责数量性状比家庭没有血缘关系。初步研究表明,足够大小和结构的血缘家系将提供更多的权力比类似规模的核心家庭的数量性状定位。这个试验项目的直接目标是使用大的血缘家系进行初步分析,以验证其有用的数量性状定位,并检查选定的数量性状在近交家庭的遗传。我们计划实现以下具体目标:1)从生活在印度南部的大型血缘谱系中识别并招募成员,2)测量所有参与个体的选定的眼部数量性状,3)收集所有可用家庭成员的外周血样品并制备DNA和血浆样品,4)制定收集所有参与个体的环境暴露信息的策略,5)进行初始SNP基因分型,和6)进行数量性状基因座的初始作图。常见的年龄相关疾病,如黄斑变性、青光眼、白内障和糖尿病性视网膜病变,是全世界许多国家失明的主要原因,并且随着世界范围内人口的老龄化,预计到2020年这些疾病的患病率将急剧增加。与老年人有关的疾病治疗费用昂贵,威胁到老年人独立生活的能力,在一些国家还增加了死亡风险。该项目的目标是确定负责眼部数量性状的基因,这些基因是这些常见致盲疾病的主要危险因素。这些基因的鉴定将有助于确定这些疾病的根本原因,这将导致新的治疗和诊断方法。
英文摘要
DESCRIPTION (provided by applicant): The primary objective of this exploratory grant is to determine the value of consanguineous pedigrees for quantitative trait mapping and to perform initial gene mapping studies for selected quantitative traits that are significant risk factors for common ocular complex disorders such as glaucoma, and macular degeneration. A long-term goal is to use this approach to develop and support a genotype/phenotype database that will enable investigators to discover, assess and validate genes and biomarkers responsible for quantitative traits that contribute to complex human ocular disease. A major motivation for the project is the expectation that the resources obtained will provide new opportunities for the identification of significant risk factors for blinding human disease. In addition to phenotypic and genotypic data, environmental information will be collected to aid studies of gene environment interactions. DNA and plasma from blood samples collected from each study participant will be stored for future genomic, protein and small molecule analysis with the anticipation that this information will lead to the identification of genetic predictors and biomarkers for some complex ocular disorders. The underlying hypothesis of this proposal is that consanguineous pedigrees can provide more information for mapping genes responsible for quantitative traits than families without consanguineous relationships. Preliminary studies have suggested that consanguineous pedigrees of sufficient size and structure will provide more power for quantitative trait mapping than a similarly sized collection of nuclear families. The immediate goals of this pilot project are to use large consanguineous pedigrees for initial analyses to verify their usefulness for quantitative trait mapping, and to examine the inheritance of selected quantitative traits in inbred families. We plan to accomplish the following specific aims: 1) Identify and enroll members from large consanguineous pedigrees living in southern India, 2) Measure selected ocular quantitative traits for all participating individuals, 3) Collect peripheral blood samples on all available family members and prepare DNA and plasma samples, 4) Develop strategies for collecting environmental exposure information on all participating individuals, 5) Perform initial SNP genotyping, and 6) Perform initial mapping of quantitative trait loci. Common age-related disorders such as macular degeneration, glaucoma, cataract, and diabetic retinopathy, are the leading causes of blindness in many countries throughout the world, and with the aging of the population world-wide, the prevalence of these disorders is expected to increase dramatically by the year 2020. Age-related diseases are costly to treat, threaten the ability of older adults to live independently and in some countries increase the risk of mortality. The goal of this project is to identify genes responsible for ocular quantitative traits that are major risk factors for these common blinding disorders. The identification of these genes will help define the underlying causes of these disorders which will lead to new methods of treatment and diagnosis.
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会议论文
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海外基金