Discovery of Gene Variants and Mechanisms Underlying Salt-Sensitive Hypertension
Discovery of Gene Variants and Mechanisms Underlying Salt-Sensitive Hypertension
批准号:
8596091
负责人:
Laura A Cox
金额:
$43.55万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-08-13 至 2017-06-30
关键词:
AddressAdultAllelesAmericanBiocompatible MaterialsBiologicalBiological AssayBiopsyBlood PressureCandidate Disease GeneCause of DeathDNADNA-Protein InteractionDataData SetDietDietary SodiumElectrophoretic Mobility Shift AssayExonsGene ExpressionGene Expression ProfileGenesGeneticGenetic PolymorphismGenetic VariationGenomicsGenotypeGlutathione S-TransferaseGoalsHigh Density Lipoprotein CholesterolHumanHypertensionImmunoblottingIn VitroIndividualKidneyLithiumMeasuresMessenger RNAMethodsMolecularNucleotidesPapioPharmaceutical PreparationsPhenotypePhysiologicalPopulationPrimatesProtein IsoformsProteinsQuantitative GeneticsRNARNA SplicingReporterResearchResistanceResourcesRiskRisk FactorsSNP genotypingSamplingSeriesSerumSingle Nucleotide PolymorphismSmall RNASodiumSodium ChlorideTranscriptTranscriptional ActivationTransfectionTranslationsUntranslated RNAUpdateVariantbasecationic antimicrobial protein CAP 37feedinggenetic pedigreegenetic variantgenome sequencinghuman population studyin vitro Assayin vivoinsertion/deletion mutationprotein protein interactionpublic health relevanceresponsesalt sensitivetraittranscriptome sequencingtranslation assay
中文摘要
描述(由申请人提供):高血压是每年超过30万美国人死亡的主要或促成原因。大约28%的美国成年人患有难治性高血压(TRH)。TRH个体的血压(BP)药物无效很可能是由于这些个体中调节BP的特定遗传变异。关键问题是:哪些基因和基因变异会影响高血压的风险?这些基因调节血压的分子机制是什么?这些问题的答案将为TRH患者提供靶向治疗。众所周知,钠是高血压的主要危险因素,遗传多态性是血压对钠反应变化的基础;然而,很少有遗传多态性被确定为易患高血压的个体。主要的障碍包括在人类研究中难以控制膳食钠,以及大量未经盐处理的人群的可用性,以确定影响高血压风险的钠反应基因。为了解决这些关键问题和人类研究的问题,我们建议使用一个血统,表型和基因型,盐天真的狒狒种群。我们将使用一种策略的更新版本,我们成功地采用该策略来识别调节血清HDL胆固醇的遗传变异,并利用我们独特的狒狒群体数据进行高血压表型研究。我们将使用现有的生物材料和从一组高血压不一致的狒狒中获得的数据,这些狒狒被喂食两种钠含量不同的饮食。结合新的基因组数据和网络分析,这个独特的数据集将使我们能够识别受到高钠饮食干扰的BP功能网络。我们假设:遗传多态性的基础上的变化,在灵长类动物的血压反应饮食钠。我们将通过以下目标来解决这个问题:1)识别和优先考虑影响BP变异的候选基因和非编码RNA(ncRNA); 2)识别影响BP的关键网络基因中的统计功能变体; 3)影响BP的钠响应基因中的非功能变体; 4)影响BP的网络中钠响应基因(和编码蛋白质)的非网络相互作用。人类和狒狒之间的生理和遗传相似性将允许将研究结果从狒狒翻译到人类。
英文摘要
DESCRIPTION (provided by applicant): Hypertension is a primary or contributing cause of death for more than 300,000 Americans annually. Approximately 28% of U.S. adults have treatment-resistant hypertension (TRH). The ineffectiveness of blood pressure (BP) medications in TRH individuals is very likely due to specific genetic variants regulating BP in these individuals. Critical questions are: What genes and gene variants influence risk of hypertension? And, what are the molecular mechanisms by which these genes regulate BP? The answers to these questions will provide targeted therapies for individuals with TRH. It is well-established that sodium is a major risk factor for hypertension and that genetic polymorphisms underlie variation in BP response to sodium; however, few genetic polymorphisms have been identified that predispose an individual to hypertension. Major obstacles include difficulty controlling dietary sodium in human studies and availability of large, salt-na¿ve human populations to identify sodium-responsive genes that influence hypertension risk. To address these critical questions and the issues with human studies, we propose to use a pedigreed, phenotyped and genotyped, salt-na¿ve baboon population. We will use an updated version of a strategy that we successfully employed to identify genetic variants regulating serum HDL cholesterol and exploit our unique baboon population data for hypertension phenotypes. We will use available biomaterials and data obtained from a panel of baboons discordant for hypertension that were fed two diets differing in sodium content. Combined with new genomic data and network analyses, this unique dataset will allow us to identify BP functional networks that are perturbed by a high-sodium diet. We hypothesize that: Genetic polymorphisms underlie variation in BP response to dietary sodium in primates. We will address this with the following Aims: 1) Identify and prioritize candidate genes and noncoding RNAs (ncRNAs) that influence variation in BP; 2) Identify statistical functional variants in critical network genes that influence BP; 3) Validate functional variants in sodium-responsive genes influencing BP; and 4) Validate network interactions of sodium-responsive genes (and encoded proteins) in networks influencing BP. Physiologic and genetic similarities between humans and baboons will allow translation of findings from baboon to human.
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