Synthesizing genome, epigenome, and transcriptome datasets in type 2 diabetes.

合成 2 型糖尿病的基因组、表观基因组和转录组数据集。

基本信息

批准号：
9068907
负责人：
Stephen CJ Parker
金额：
$ 24.23万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-05-15 至 2018-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9068907
关键词：
Accounting Adipose tissue Affect American Applications Grants Beta Cell Biopsy Blood Vessels Cell Line ChIP-seq Chromatin Clinical Code Communities Complex Computing Methodologies DNA Data Data Analyses Data Set Diabetes Mellitus Diagnosis Disease Disease susceptibility Elements Ensure Finland Freezing Functional disorder Funding Future Gene Expression Gene Expression Regulation Genes Genetic Genetic Transcription Genetic Variation Genetic study Genome Genomics Genotype Glucose Goals Health Healthcare Systems High-Throughput Nucleotide Sequencing Histocompatibility Testing Human Insulin Resistance Investigation Islets of Langerhans Lead Life Link Location Maps Mentors Messenger RNA Methods Molecular Morbidity - disease rate Muscle Neurologic Newly Diagnosed Non-Insulin-Dependent Diabetes Mellitus Nucleic Acid Regulatory Sequences Participant Peripheral Phenotype Predisposition Quantitative Trait Loci RNA Splicing Regulator Genes Regulatory Element Research Research Design Research Infrastructure Research Personnel Research Project Grants Resolution Resources Risk Sampling Tissue Sample Tissues Transcript United States United States National Institutes of Health Untranslated RNA Variant base career cell type clinical phenotype clinically relevant computer framework cost design epigenome epigenomics experience functional genomics genome wide association study genome-wide genomic data genotyping technology human tissue insight irradiation islet new therapeutic target non-diabetic novel novel therapeutics pleiotropism programs research study skills trait transcriptome transcriptome sequencing transcriptomics

项目摘要

The goal of this research project is to identify non-coding functional elements that may influence type 2 diabetes (T2D)-related genes, and pinpoint DNA variants that perturb their regulatory function and increase T2D susceptibility. The location of T2D-associated genomic loci suggests that disease susceptibility is influenced by variants in non-coding regulatory regions. Insulin resistance in peripheral tissues like adipose and muscle, and pancreatic islet beta-cell dysfunction, are hallmarks of T2D. Accordingly, the research in this proposal will involve all three of these human tissue types. Although T2D has been researched extensively at the basic and clinical level, the high-throughput genomics experiments proposed here are only recently possible. This project uses genome-wide profiling technologies: genotypes, epigenomics, and transcriptomics to understand how regulatory variations control genes in T2D. Completion of this research will provide a high-resolution genome-wide map of T2D relevant regulatory regions, their functional impact on gene regulation, and correlations with clinical phenotypes.

该研究项目的目的是确定可能的非编码功能元素影响2型糖尿病（T2D）相关基因，并确定扰动的DNA变异它们的调节功能并提高T2D易感性。 T2D相关的位置基因组基因座表明疾病的敏感性受非编码变异的影响监管区域。脂肪和肌肉等周围组织中的胰岛素耐药性，以及胰岛β细胞功能障碍，是T2D的标志。因此，研究该建议将涉及所有这三种人类组织类型。虽然T2D一直高通量基因组学在基本和临床水平上进行了广泛的研究此处提出的实验直到最近才有可能。该项目使用全基因组分析技术：基因型，表观基因组学和转录组学，以了解如何调节性变异控制T2D中的基因。这项研究的完成将提供 T2D相关调节区域的高分辨率全基因组图，其功能对基因调节的影响以及与临床表型的相关性。