Epigenetic Landscape of Chronic Kidney Disease

慢性肾脏病的表观遗传学景观

基本信息

批准号：
8875669
负责人：
KATALIN SUSZTAK
金额：
$ 47.68万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-01 至 2019-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8875669
关键词：
Adult American Animal Model Binding Biochemistry Biological Assay Candidate Disease Gene Cells Cholesterol Chromatin Chronic Kidney Failure Code Complex Computer Simulation Development Diagnosis Dialysis procedure Disease Distal Distant End stage renal failure Endothelial Cells Enhancers Epigenetic Process Epithelial Cells Experimental Genetics Fibroblasts Gene Deletion Gene Targeting Genes Genetic Genetic Polymorphism Genetic Transcription Genome Genomics Glomerular Mesangial Cell Health Histones Human Individual Informatics Kidney Malignant neoplasm of prostate Maps Methods Mus Nucleic Acid Regulatory Sequences Patients Property Protein Biochemistry Quantitative Trait Loci RNA Splicing Reading Regulator Genes Reporter Risk Scientist Sequence Analysis Signal Transduction Single Nucleotide Polymorphism Site Stress Study models System TCF3 gene Tail Tissue Banks Tissue Sample Tissues Transcript Translating Transplantation Tubular formation Untranslated RNA Validation Variant base cell type chromatin immunoprecipitation diabetic epigenome epigenomics genome wide association study genome-wide innovation kidney cell macrophage malignant breast neoplasm markov model mortality novel podocyte research study trait transcription factor

项目摘要

DESCRIPTION (provided by applicant): Genome wide association studies (GWAS) have been extremely powerful and successful identifying associations between genetic polymorphisms (SNP) and diabetic and chronic kidney disease (CKD) development. Our next big challenge is to translate this information to understand the mechanism of diabetic and CKD development. The major hurdle is that the majority of CKD associated polymorphisms lie outside the coding region of the genome. Therefore classic protein biochemistry and gene deletion studies of model organisms cannot yet be applied. Several recent pioneering studies have provided a novel framework for such experiments and indicate that the cell type specific epigenome can be used to understand and annotate the non-coding region of the genome. As there are hundreds of established SNPs for CKD, performing individual experiments for each SNP could be a daunting task, therefore there is a critical need for genome wide cell type specific mapping of non-coding regulatory regions and defining the correlation between SNP's and transcript levels. The proposal will use a combination of methods to dissect the association between diabetic and chronic kidney disease associated polymorphisms and disease.

描述（由申请人提供）：基因组广泛的关联研究（GWAS）非常有力，成功地识别遗传多态性（SNP）与糖尿病和慢性肾脏病（CKD）发育之间的关联。我们的下一个大挑战是翻译此信息，以了解糖尿病和CKD发展的机制。主要的障碍是，大多数CKD相关的多态性都在基因组的编码区域之外。因此，尚无法应用经典的蛋白质生物化学和基因缺失研究。最近的一些开创性研究为此类实验提供了一个新的框架，并表明特异性表观基因组可用于理解和注释基因组的非编码区域。由于有数百个用于CKD的已建立的SNP，因此为每个SNP执行单个实验可能是一项艰巨的任务，因此，对于非编码调节区域的基因组宽细胞类型特异性映射非常需要，并定义了SNP和转录水平之间的相关性。该提案将使用方法的组合来剖析糖尿病和慢性肾脏疾病相关的多态性和疾病之间的关联。