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。

• 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
• 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

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.

这个研究项目的目标是识别非编码功能元件， 影响2型糖尿病（T2D）相关基因，并精确定位干扰 它们的调节功能和增加T2D易感性。T2D相关的位置 基因组位点表明，疾病易感性受非编码基因变异的影响， 监管区域。外周组织如脂肪和肌肉中的胰岛素抵抗， 胰岛β细胞功能障碍是T2D的标志。因此，研究 该提案将涉及所有这三种人体组织类型。虽然T2D 在基础和临床层面进行了广泛的研究，高通量基因组学 这里提出的实验只是最近才有可能。这个项目使用全基因组 分析技术：基因型，表观基因组学和转录组学，以了解如何 2型糖尿病的基因调控变异这项研究的完成将提供一个 T2D相关调控区高分辨率全基因组图谱，其功能 对基因调控的影响以及与临床表型的相关性。