CORE--DATA ANALYSIS

核心——数据分析

• 批准号: 6156484
• 负责人: Andrzej T Galecki
• 金额: $ 10.08万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-05-01 至 2000-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6156484
• 关键词: aging; biomedical facility; computer data analysis; data collection methodology /evaluation; genetic mapping; molecular genetics; quantitative trait loci; statistics /biometry

The primary aim of the Data Analysis Core is to combine data from all contributing research projects and from the Genotyping Core and to use this information to address the three Program Specific Aims. To achieve this objective the following steps will be performed: 1. A system for data entry and data quality control will be developed and implemented. 2. Program scientists will be assisted in the statistical analysis and interpretation of the results within each of the individual components. 3. New statistical programs in the form of SAS macros will be written and tested. 4. To address Program Specific Aim #1, QTL mapping analysis will be performed on the 600 UM-HET3 mice in population I to identify loci that affect age-sensitive traits within each measurement domain. 5. A similar analysis will identify QTL that affect age-sensitive measures across multiple physiological and biochemical domains. 6. To address Program Specific Aim #2, correlations between age-sensitive traits within and across measurement domains will be studied both with and without adjusting for genetic effects. 7. To address Program Specific Aim #3, age-sensitive outcomes will be compared in two groups of mice (Population 2), one of which has been selected for alleles that are associated with extended life span. This application presents the statistical model that will be used for the QTL mapping as well as a power analysis based upon the currently available genetic map with a set of simulated phenotypes. The sample size-which is based upon budgetary limitation-is adequate to detect approximately 70% of a set of 50 hypothetical Qtls with heritability 0.2 after adjustments for multiple comparison artifacts. Several precautions are described to alleviate the problem of multiple comparisons and to control the overall alpha level.

数据分析核心的主要目的是结合所有贡献研究项目和基因分型核心的数据，并使用此信息来解决三个程序特定目标。为了实现此目标，将执行以下步骤：1。将开发和实施用于数据输入和数据质量控制的系统。 2。计划科学家将得到协助的统计分析和解释每个单个组件内的结果。 3。将以SAS宏的形式编写和测试新的统计程序。 4。为了解决程序特定的目标＃1，将对种群I中的600个UM-HET3小鼠进行QTL映射分析，以识别影响每个测量域内对年龄敏感特征的基因座。 5。类似的分析将确定影响多种生理和生化领域的年龄敏感度量的QTL。 6。为了解决程序特定的目标＃2，将在有没有调整遗传效应的情况下研究测量域内和跨测量域之间年龄敏感性之间的相关性。 7。为了解决计划特定的目标＃3，将在两组小鼠中比较年龄敏感的结果（种群2），其中一组已被选为与延长寿命相关的等位基因。该应用程序介绍了将用于QTL映射的统计模型，以及基于当前可用遗传图的功率分析，并具有一组模拟表型。样本量基于预算限制 - 足以检测50个假设QTL的大约70％，在调整多次比较伪像后，具有遗传力为0.2。描述了一些预防措施，以减轻多次比较的问题并控制整体α水平。