Human Genetic Analysis Resource

人类遗传分析资源

• 批准号: 7897983
• 负责人: Robert C. Elston
• 金额: $ 92.26万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-14 至 2012-06-12
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7897983
• 关键词: Human; Genetic; Analysis; Resource

This Human Genetic Analysis Resource will facilitate the identification, mapping and characterization of genes that cause complex diseases in man. The Resource will provide services and expertise in human genetic analysis to research workers investigating the familial nature of such diseases. Further statistical methods of analysis and study designs will be developed for this purpose, and well-documented, userfriendly computer programs prepared that can be easily tailored to the needs of other human geneticists and epidemiologists. Theoretical developments will include studies of validity, power and robustness of all procedures developed. Methods of association, segregation and linkage analysis will allow for, e.g., nonnormality, multifactorially caused familial correlations, measured and non-measured environmental effects, both Mendelian and non-Mendelian genetic effects, and non-random sampling. Consulting services in the use of these methods will be provided, and the methods will be applied in collaborative research to several broad areas, including cancer, pulmonary/ cardiovascular diseases, ophthalmologic diseases, neurological diseases, autoimmune diseases, and renal diseases. Human genetic analysts will be trained at the pre- and post-doctoral levels, and short courses given, both nationally and internationally, to train people in statistical analysis for genetic epidemiology and in the use of the computer programs that will be developed. Information about the Resource and its activities will be broadly disseminated at national and international meetings and by maintaining a home page on the World Wide Web.

这一人类遗传分析资源将有助于识别，绘图和表征 基因，导致人类复杂的疾病。资源将提供服务和专业知识， 遗传分析，以研究工作者调查这些疾病的家族性质。进一步统计 为此目的，将制定分析方法和研究设计，并提供有据可查的、用户友好的 计算机程序可以很容易地适应其他人类遗传学家的需要 和流行病学家。理论发展将包括研究所有的有效性，权力和鲁棒性 制定的程序。关联、分离和连锁分析的方法将允许，例如，非常态， 多因素引起的家族相关性，测量和非测量的环境影响， 孟德尔和非孟德尔遗传效应，以及非随机抽样。的咨询服务 将提供这些方法的使用，这些方法将应用于几个合作研究 广泛的领域，包括癌症、肺/心血管疾病、眼科疾病、神经系统疾病 疾病、自身免疫性疾病和肾脏疾病。 人类遗传分析员将接受博士前和博士后的培训，并提供短期课程， 在国内和国际上，培训人们进行遗传流行病学统计分析和 使用将要开发的计算机程序。关于资源及其活动的信息将 在国家和国际会议上广泛传播，并维持一个关于 环球网