MEXICAN-AMERICAN ADMIXTURE MAPPING DEVELOPMENT AND APPLICATION TO NIDDM

墨西哥-美国混合图谱开发及其在 NIDDM 中的应用

• 批准号: 7952240
• 负责人: SHARON G ADLER
• 金额: $ 1.02万
• 依托单位: LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-12-01 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7952240
• 关键词: Admixture; African; African American; Algorithms; American; Amerindian; Asians; Chromosomes; Clinical Research; Complement; Complex; Computer Retrieval of Information on Scientific Projects Database; Control Groups; Development; Diabetes Mellitus; Diabetic Nephropathy; Disease; European; Funding; Generations; Grant; Hereditary Disease; Institution; Maps; Methods; Mexican Americans; Non-Insulin-Dependent Diabetes Mellitus; Population; Research; Research Personnel; Resources; Single Nucleotide Polymorphism; Source; Susceptibility Gene; United States National Institutes of Health; base; design; genetic linkage analysis; markov model; simulation

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Admixture mapping is a developing method for examining complex genetic diseases that complements linkage analysis and association methods. For any disease, a recently admixed population can be used to define critical chromosomal regions if there is a different distribution of susceptibility genes in parental populations contributing to the admixed population. This is predicated on the ability to define the ancestry of the chromosomal segments in the admixed population. Recent studies indicate that Ancestry Informative Markers (AIMs) can be readily identified for major ancestral groups including European, East Asian, African and Amerindian (AI). For admixture studies in African Americans, > 2000 AIMs have been identified largely based on primary screens of more than 150,000 single nucleotide polymorphisms (SNPs). For studies of Mexican American (MA) populations, currently <500 AIMs are available to enable powerful admixture mapping studies. Current power estimations suggest that 3000-4000 evenly distributed AIMs are necessary for MA admixture studies given the estimated number of generations since admixture and simulations using hidden Markov model (HMM) algorithms to define ancestry transitions along chromosomes. The current proposal is designed to remedy the availability of AIMs that distinguish European American (EA) and AI ancestry and to demonstrate the potential of admixture mapping in the context of type 2 diabetes (DM2) [also known as non-insulin dependent diabetes (NIDDM)] and diabetic nephropathy. This study will take advantage and extend the current efforts of the FIND MA Admixture Mapping project. In addition, the current study will utilize a control group of MA subjects without diabetes to provide further support for any potential DM2 loci.

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 混合作图是一种正在发展中的检测复杂遗传病的方法，它补充了连锁分析和关联方法。对于任何疾病，如果在构成混合种群的亲本种群中存在不同的易感基因分布，则可以使用最近混合的种群来定义关键的染色体区域。这是基于确定混合种群中染色体片段的祖先的能力。最近的研究表明，祖先信息标记(AIMS)可以很容易地在欧洲、东亚、非洲和美洲印第安人(AI)等主要祖先群体中识别出来。对于非裔美国人的混合研究，主要基于对150,000多个单核苷酸多态(SNPs)的初步筛选，确定了&gt；2000的目标。对于墨西哥裔美国人(MA)群体的研究，目前&lt；500 AIMS可以实现强大的混合映射研究。目前的功率估计表明，在给定自混合以来的估计世代数的情况下，对于MA混合研究和使用隐马尔可夫模型(HMM)算法定义染色体上的祖先过渡的模拟来说，3000-4000个均匀分布的AIMS是必要的。目前的提议旨在弥补区分欧美(EA)和AI血统的AIMS的可用性，并展示在2型糖尿病(DM2)[也称为非胰岛素依赖型糖尿病(NIDDM)]和糖尿病肾病的背景下混合映射的潜力。这项研究将利用并扩展Find MA混合映射项目目前的努力。此外，目前的研究将利用一组没有糖尿病的MA受试者来为任何潜在的DM2基因座提供进一步的支持。