CORE--QUANTITATIVE TRAIT LOCI ANALYSIS

核心--数量性状位点分析

• 批准号: 6299400
• 负责人: GEORGE P VOGLER
• 金额: $ 17.67万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-03-01 至 2001-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6299400
• 关键词: aging; biomedical facility; data management; genetic markers; genetic models; linkage mapping; phenotype; quantitative trait loci; statistics /biometry

The purpose of the QTL analysis Core is to provide a resource, common to all research components of the program, of centralized data management, organization and analysis of data to identify quantitative trait loci (QTLs) for age-related phenotypes, and assessment of QTL origins of genetic associations across time and among phenotypic domains. This Core will have the primary responsibility for integrating data from the multiple projects into a centralized database managed under a rigorous routine of data checking, cleaning, file maintenance, backup, and quality control. Analyses for the detection of QTLs will be undertaken using the RI sample to nominate QTLs using carefully specified criteria for significance designed to minimize false positive results. The F2 sample will be used as a replication to confirm nominated QTLs. The QTL analyses will be conducted at three ages representing key developmental phases of the mouse lifespan: 150, 450, and 750 days of age. Ten male and ten female mice from each of 22 recombinant inbred lines (and the two parental inbred lines) will be used to nominate QTLs. The replication sample will consist of 400 F2 animals (net, after loss due to death) derived from the same progenitor strains that were used to derive the RI lines at each of the three ages. Three phenotypic measures will be obtained at each measurement occasion on non-destructive measures in F2 animals to minimize the effect of intra-individuals variability and to enhance the power to detect QTL effects. Interval QTL mapping will be conducted using existing software routines. A regression model is described for analyzing data across time points to test for QTL effects that are common to all time points or unique to a particular time point. The QTL Analysis Core will provide a resource for integrated data management and QTL analyses across all phenotypic domains of the program project.

QTL分析核心的目的是提供一种共同的资源 该计划的所有研究组件，集中数据管理， 数据和分析数据以识别定量特质基因座 （QTL）用于年龄相关的表型，并评估QTL的起源 跨时间和表型结构域之间的遗传关联。这个核心 将负责整合来自 多个项目进入严格的集中数据库 数据检查，清洁，文件维护，备份和 质量控制。将进行检测的分析 使用RI样品使用精心指定的标准提名QTL 为了最大程度地减少假阳性结果的意义。 F2 样本将用作复制，以确认提名的QTL。 QTL 分析将以三个年龄为代表关键发展的年龄进行 小鼠寿命的阶段：150、450和750天。十个男性 和来自22种重组近交系的每只雌性小鼠（以及 两个父母的近交系）将用于提名QTL。这 复制样本将由400名F2动物组成（净，损失到期后 死亡）来自曾经用过的相同祖细胞菌株 在三个年龄中的每个年龄中得出RI线。三种表型措施 将在每个测量场合在无损的情况下获得 F2动物的措施以最大程度地减少个人内部的影响 可变性并增强检测QTL效应的功率。间隔QTL 将使用现有软件例程进行映射。回归 描述了用于分析跨时间点的数据以测试QTL的模型 所有时间点常见或特定特定的效果 时间点。 QTL分析核心将为集成的资源提供资源 数据管理和QTL分析在所有表型领域的分析 计划项目。