Genetics of Cardiovascular Disease in Chronic Kidney Disease

慢性肾脏病心血管疾病的遗传学

基本信息

  • 批准号:
    10467373
  • 负责人:
  • 金额:
    $ 50.21万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-05-01 至 2026-04-30
  • 项目状态:
    未结题

项目摘要

ABSTRACT Cardiovascular disease is a main cause of death and disability in individuals with chronic kidney disease (CKD) but little is known on the genetic factors accounting for the increased cardiovascular disease burden in CKD. Genome-wide association studies have identified several loci for cardiovascular disease and subclinical atherosclerosis traits. Studies have also shown that genetic variants that regulate gene expression have important roles in complex traits. We propose to test regulatory regions of the genome associated with cardiovascular outcomes using approaches that integrate gene expression data to genome-wide genotypes. We will use the comprehensive clinical and biomarker data from the Chronic Renal Insufficiency Cohort (CRIC), a multi-ethnic and longitudinal study of individuals with CKD. CRIC has adjudicated cardiovascular events in all participants and the study has already documented a high burden of atherosclerosis and cardiovascular disease in CKD. We will perform genome-wide association studies of cardiovascular outcomes using dense imputed genotypes from multi-ethnic reference panels obtained from the Trans-Omics for Precision Medicine (TOPMed) Program to identify new loci in individuals with CKD (Aim 1). To identify putative causal genes associated with cardiovascular disease in CKD, we will use predicted gene expression approaches and expression quantitative trait loci from ancestry-matched datasets (Aim 2) and multi-tissues (Aim 3). This project uses innovative concepts and approaches by integrating transcripts and genotypes for gene discovery in a high-risk population for cardiovascular disease. This project aligns with NHLBI mission to reduce the burden of CVD.
摘要 心血管疾病是慢性肾脏病(CKD)患者死亡和残疾的主要原因 但对CKD患者心血管疾病负担增加的遗传因素知之甚少。 全基因组关联研究已经确定了心血管疾病和亚临床疾病的几个位点。 动脉粥样硬化特征研究还表明,调节基因表达的遗传变异具有 在复杂性状中的重要作用。我们建议测试基因组的调控区域, 使用将基因表达数据整合到全基因组基因型的方法来评估心血管结局。 我们将使用来自慢性肾功能不全队列的综合临床和生物标志物数据 (CRIC),一项针对CKD患者的多种族和纵向研究。CRIC已裁定心血管 所有参与者中的事件,该研究已经记录了动脉粥样硬化的高负担, CKD中的心血管疾病。我们将进行心血管结局的全基因组关联研究 使用从Trans-Omics获得的多种族参考组的密集插补基因型, 精准医学(TOPMed)计划,以确定CKD患者的新基因座(目标1)。以鉴定推定 在CKD中,我们将使用预测的基因表达, 方法和表达来自祖先匹配数据集(Aim 2)和多组织的数量性状基因座 (Aim 3)。该项目使用创新的概念和方法,通过整合转录本和基因型, 心血管疾病高危人群的基因发现。该项目符合NHLBI的使命, 减轻CVD的负担。

项目成果

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Nora Franceschini其他文献

Nora Franceschini的其他文献

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{{ truncateString('Nora Franceschini', 18)}}的其他基金

Mentored Training in Molecular Epidemiology of Chronic Kidney Disease in Diverse Populations
不同人群慢性肾脏病分子流行病学指导培训
  • 批准号:
    10799234
  • 财政年份:
    2023
  • 资助金额:
    $ 50.21万
  • 项目类别:
Multi-omics study of ancestry enriched associations in Hispanics/Latinos
西班牙裔/拉丁裔血统丰富关联的多组学研究
  • 批准号:
    10889299
  • 财政年份:
    2023
  • 资助金额:
    $ 50.21万
  • 项目类别:
Genetics of Cardiovascular Disease in Chronic Kidney Disease
慢性肾脏病心血管疾病的遗传学
  • 批准号:
    10593089
  • 财政年份:
    2022
  • 资助金额:
    $ 50.21万
  • 项目类别:
Genetics of kidney disease in diverse populations
不同人群肾脏疾病的遗传学
  • 批准号:
    9791177
  • 财政年份:
    2018
  • 资助金额:
    $ 50.21万
  • 项目类别:
Genetics of kidney disease in diverse populations
不同人群肾脏疾病的遗传学
  • 批准号:
    10247520
  • 财政年份:
    2018
  • 资助金额:
    $ 50.21万
  • 项目类别:
Genetics of kidney disease in diverse populations
不同人群肾脏疾病的遗传学
  • 批准号:
    10452691
  • 财政年份:
    2018
  • 资助金额:
    $ 50.21万
  • 项目类别:
Leveraging ancestry to map kidney loci
利用祖先来绘制肾脏位点图
  • 批准号:
    9387195
  • 财政年份:
    2017
  • 资助金额:
    $ 50.21万
  • 项目类别:
Leveraging ancestry to map kidney loci
利用祖先来绘制肾脏位点图
  • 批准号:
    10183320
  • 财政年份:
    2017
  • 资助金额:
    $ 50.21万
  • 项目类别:
APOL1, sickle cell trait and chronic kidney disease in African Americans
APOL1、镰状细胞特征和非裔美国人的慢性肾病
  • 批准号:
    9337929
  • 财政年份:
    2016
  • 资助金额:
    $ 50.21万
  • 项目类别:
Trans-ethnic meta-analysis of blood pressure in African and European ancestries
非洲和欧洲血统血压的跨种族荟萃分析
  • 批准号:
    8755381
  • 财政年份:
    2014
  • 资助金额:
    $ 50.21万
  • 项目类别:

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