GENETIC ANALYSIS OF COMMON DISEASES--AN EVALUATION

常见疾病的基因分析--评价

• 批准号: 2176196
• 负责人: JEAN W MACCLUER
• 金额: $ 21.96万
• 依托单位: TEXAS BIOMEDICAL RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 1983
• 资助国家: 美国
• 起止时间: 1983-04-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2176196
• 关键词: computer program /software; computer simulation; data collection methodology /evaluation; disease /disorder proneness /risk; epidemiology; gene expression; gene interaction; genetic markers; genetic models; genotype; human data; human population genetics; linkage mapping; major histocompatibility complex; mathematical model; workshop; computer program /software; computer simulation; data collection methodology /evaluation; disease /disorder proneness /risk; epidemiology; gene expression; gene interaction; genetic markers; genetic models; genotype; human data; human population genetics; linkage mapping; major histocompatibility complex; mathematical model; workshop

The overall goal of this project is to evaluate statistical genetic methods for detecting, characterizing, and mapping the genes that influence complex diseases and their precursors and risk factors. We will pursue this goal by: (l) Continuing the organization of the Genetic Analysis Workshops (GAWs). The Genetic Analysis Workshops are a collaborative effort among genetic epidemiologists to evaluate and compare statistical genetic methods. For each GAW, topics are chosen for their relevance to current analytical issues in genetic epidemiology, and sets of computer-simulated or real data are distributed to investigators worldwide. Results of analyses are discussed and compared at a 2 1/2 day meeting. GAW10 will be held in 1996, and GAW11, in 1998. Planning and data distribution for GAW12 will be ongoing by the end of the requested period of support in 2000. (2) Conducting evaluations of methods of genetic analysis. Some issues concerning the strengths and limitations of statistical genetic methods can be more readily addressed outside a workshop setting. Using computer- simulated data, we will address questions of power or sensitivity, specificity, and robustness of various analytical methods. Because many current analytical problems in genetic epidemiology involve complex diseases with associated quantitative precursors and risk factors, we will focus on analysis of such quantitative traits. We will evaluate (l) the utility of multivariate linkage analysis for detecting loci that contribute to quantitative traits, and (2) the effects on statistical inference of including or disregarding genotype x environment (GxE) interaction. This research will complement the Workshops in the sense that many of the same simulation programs and data sets will be used, and special problems that are revealed in the Workshops will be pursued in greater detail. (3) Distributing simulation programs, simulated data, and programs for genetic analysis. As a result of our efforts in generating data for the GAWs and in evaluating methods of genetic analysis, we are developing computer programs and simulated data sets that are of potential value to other investigators. We will continue to document these programs and data sets and provide them to interested investigators.

该项目的总体目标是评估统计遗传 检测，表征和绘制基因的方法 影响复杂疾病及其前体和风险因素。我们将 通过： （l）继续组织遗传分析研讨会（GAWS）。 遗传分析研讨会是遗传学的一项协作努力 流行病学家评估和比较统计遗传学方法。为了 每个GAW，选择与当前分析的相关性，选择了主题 遗传流行病学的问题以及一组计算机模拟或真实的 数据分配给全球调查人员。 分析结果是 在2 1/2天的会议上进行了讨论和比较。 GAW10将于1996年举行 和GAW11，1998年。GAW12的计划和数据分配将是 在2000年要求的支持期结束时进行。 （2）进行遗传分析方法的评估。一些问题 关于统计遗传学方法的优势和局限性 可以在车间设置外更容易地解决。使用计算机 - 模拟数据，我们将解决权力或敏感性问题， 各种分析方法的特异性和鲁棒性。因为很多 遗传流行病学中的当前分析问题涉及复杂 具有相关定量前体和风险因素的疾病，我们将 专注于分析此类定量性状。 我们将评估（l） 多变量链接分析的实用程序检测基因座 有助于定量性状，（2）对统计的影响 包括或无视基因型X环境（GXE）的推断 相互作用。这项研究将在某种意义上补充研讨会 将使用许多相同的仿真程序和数据集，并且 讲习班中揭示的特殊问题将在 更大的细节。 （3）分发模拟程序，模拟数据和程序 遗传分析。由于我们为生成数据而努力 GAWS和评估遗传分析方法时，我们正在发展 计算机程序和模拟数据集具有潜在价值的 其他调查人员。 我们将继续记录这些程序和数据 设置并将其提供给感兴趣的调查员。