Genetics of Type 2 Diabetes in Starr County, Texas

德克萨斯州斯塔尔县 2 型糖尿病的遗传学

• 批准号: 7643267
• 负责人: CRAIG L HANIS
• 金额: $ 59.99万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7643267
• 关键词: Alleles; American; Beta Cell; Biochemical Pathway; California; Candidate Disease Gene; Cell Line; Cell physiology; Chicago; Classification; Complement; County; Diabetes Mellitus; Epidemic; Evaluation; Failure; Follow-Up Studies; Genes; Genetic; Genetic Predisposition to Disease; Genetic Variation; Genome; Genotype; Haplotypes; Head; Health; Health Sciences; Human; Individual; Insulin; Maps; Mexican; Mexican Americans; Minority; Molecular; Non-Insulin-Dependent Diabetes Mellitus; Pathway interactions; Phenotype; Play; Population; Population Heterogeneity; Predisposition; Regulation; Research Personnel; Resources; Risk; Role; Running; Sampling; Scanning; Series; Single Nucleotide Polymorphism; Susceptibility Gene; Testing; Texas; Universities; Variant; assault; blood glucose regulation; calpain 10; cohort; diabetes risk; early onset; environmental change; follow-up; genome wide association study; genome-wide; genome-wide linkage; member; prevent; programs

DESCRIPTION (provided by applicant): Type 2 diabetes continues an unrelenting assault on health. Ample evidence implicates genetic factors in determining susceptibility although the identities of the genes and alleles have remained elusive. Genome-wide linkage efforts in diverse populations have been modestly successful in identifying regions harboring susceptibility loci, but have led to the identification of only one locus, calpain-10. Understanding the full array of genetic variation contributing to type 2 diabetes may ultimately require examination of all genes in the genome. It certainly will require comprehensive evaluation of the key genes involved in glucose homeostasis and related pathways. To this end, we have identified 500 genes most likely to influence diabetes risk. This group could represent the majority of potential diabetes genes. Evaluation of the contribution of these genes requires typing 10 to 15 SNPs in each to capture their full haplotype diversity. These studies are a necessary complement to the burgeoning genome-wide association studies (including our own) that are being performed in the context of diabetes susceptibility. Specifically, we propose: Aim 1. To determine the impact of genetic variation at 500 type 2 diabetes candidate genes on risk in 500 cases and a representative cohort of 500 Mexican Americans from Starr County, Texas; Aim 2. To test for replication of significant findings from Aim 1 in a second set of 500 cases and cohort of 500 Mexican Americans from Starr County, Texas; and Aim 3. To determine the underlying molecular variation responsible for observed associations at the pathway and gene level. DMA and phenotypes are available. We have also completed genome-wide typing using the Affymetrix GeneChip Human Mapping 100K Set on 300 of the type 2 diabetes cases and 300 cohort members that are the focus of Aim 1. In year 1 we will focus on the results from the 100K chip which provides effective coverage of 125 of the genes identified. In years 2 through 4, we will obtain genotyping through Illumina, Inc. at a rate of 125 genes per year. Genes will be examined in the context of biochemical pathways to test that the array of variation in a pathway differs between cases and the cohort. Genotypes will be posted at www.diabetesgenomics.org to permit replication and application of alternative analytic strategies. Analyses and replication and follow-up genotyping will be shared by groups at the University of Texas Health Science Center at Houston headed by Dr. Craig L. Hanis and the University of Chicago headed by Dr. Graeme I. Bell. Genotyping our extensive sample resource will permit identification of key diabetes susceptibility genes whose variation has been "permissive" to the last century's environmental changes.

描述（由申请人提供）：2型糖尿病继续对健康的无情攻击。虽然基因和等位基因的身份仍然难以捉摸，但大量的证据表明遗传因素决定了易感性。在不同人群中进行的全基因组连锁研究在识别易感基因位点方面取得了一定的成功，但仅识别出一个位点，即钙蛋白酶-10。了解导致2型糖尿病的全部遗传变异可能最终需要检查基因组中的所有基因。这当然需要对参与葡萄糖稳态和相关途径的关键基因进行全面评估。为此，我们已经确定了500个最有可能影响糖尿病风险的基因。这组基因可能代表了大多数潜在的糖尿病基因。评估这些基因的贡献需要在每个基因中分型10至15个SNP，以捕获其完整的单倍型多样性。这些研究是在糖尿病易感性背景下进行的新兴全基因组关联研究（包括我们自己的研究）的必要补充。具体而言，我们建议：目标1。确定500个2型糖尿病候选基因的遗传变异对500例病例和来自德克萨斯州斯塔尔县的500名墨西哥裔美国人的代表性队列风险的影响;目标2。在来自德克萨斯州斯塔尔县的第二组500例病例和500名墨西哥裔美国人队列中测试Aim 1的重要发现的复制情况;和Aim 3。确定在通路和基因水平上导致观察到的关联的潜在分子变异。DMA和表型可用。我们还使用Affychip GeneChip Human Mapping 100 K Set对300例2型糖尿病病例和300名队列成员完成了全基因组分型，这是Aim 1的重点。在第一年，我们将重点关注100 K芯片的结果，该芯片有效覆盖了125个已识别的基因。在第2年至第4年，我们将通过Illumina，Inc.进行基因分型。以每年125个基因的速度。将在生物化学途径的背景下检查基因，以测试途径中的变异阵列在病例和队列之间不同。基因型将在www.diabetesgenomics.org上发布，以允许复制和应用替代分析策略。分析、复制和后续基因分型将由休斯顿德克萨斯大学健康科学中心的克雷格L博士领导的小组分享。Hanis和以Graeme I博士为首的芝加哥大学。贝尔对我们广泛的样本资源进行基因分型将允许鉴定关键的糖尿病易感基因，这些基因的变异对上个世纪的环境变化是“允许的”。