CORE--GENOTYPING

基因分型核心将提供用于项目所有方面的UM-HET 3雌性小鼠的遗传信息。在Animal ore生产的600只种群1动物将在150个基因座处进行基因分型，每个基因座能够区分四个祖父母等位基因。对于每只动物，基因型扫描将在整个基因组中提供约15至20 cM的覆盖范围。将对额外的UM-HET 3雌性进行基因分型，以筛选少量候选寿命相关基因座。经鉴定在基因座处具有所需等位基因组合的动物将保留为群体2（最终总计180只动物）。将在单个项目中检查人群的表型，并通过数据分析核心评估基因型与表型的相关性。具体目标：目标1。建立一个高通量基因分型服务，每年能够处理大约30，000个基于PCR的基因型检测。目标二。 制备并定量所有项目动物的基因组DNA。目标3：识别，开发和质量评估150个多态性标记反应。在项目的最后两年，将在侏儒的候选区域中确定其他标记反应。 目标4。从600头种群1动物的150个标记生成高质量的基因型数据。最终数据集将包括约90，000个基因型，缺失数据小于3%，误差小于1%。将数据转移至Data Animal Core进行分析。目标5。在群体2的约1500只UM-HET 3候选动物的6个多态性基因座上生成高质量的基因型数据。将在8周龄时确定基因型，并根据基因型选择180只动物。用于筛选的基因座将包括三个数量性状基因座（QTL），其被提议作为寿命的候选者。对于该筛选，将在两年内获得约9000个基因型值，误差百分比和缺失数据水平与人群I相当。目标6。开发实验室信息管理系统（LIMS），用于有效的基因型数据处理、资源管理和成本控制。

The Genotyping Core will provide genetic information on the UM-HET3 female mice used for all aspects of the Program Project. The 600 Population 1 animals produced in Animal ore will be genotyped at 150 loci, with each locus able to distinguish the four grandparental alleles. For each animal the genotype scan will provide approximately 15 to 20 cM coverage across the genome. Genotyping will be performed on additional UM-HET3 females to screen for a small number of candidate lifespan-associated loci. Animals identified as having the desired combination of alleles at the loci will be retained as Population 2 (180 animals final total). The Populations will be examined for phenotypes in the individual Projects and assessed for genotype by-phenotype associations by Data Analysis Core. The Specific Aims: Aim 1. Establish a high-throughput genotyping service capable of handling approximately 30,000 PCR-based genotype assays per year. Aim 2. Prepare and quantify genomic DNA from all project animals. Aim 3. Identify, develop, and quality assess 150 polymorphic marker reactions. Additional marker reactions will be identified in candidate regions of the gnome in the final two years of the Project. Aim 4. Generate high-quality genotype data from 150 marker on 600 Population 1 animals. The final dataset will include approximately 90,000 genotypes with less than 3% missing data and less than 1% error. The data will be transferred to Data Animal Core for analysis. Aim 5. Generate high-quality genotype data at six polymorphic loci on approximately 1500 UM-HET3 candidate animals for Population 2. Genotypes will be determined at 8 weeks of age and 180 animals will be selected based on the genotypes. The loci used for the screen will bracket three quantitative trait loci (QTL) proposed as candidates for lifespan. For this screen, approximately 9000 genotype values will be obtained over two years, with percent error and missing data levels comparable to Population I. Aim 6. Develop a laboratory information management system (LIMS) for efficient genotype data handling, resource management, and cost control.