HapMap Community Analysis Meeting

描述（由申请人提供）：国际单体型图项目成立于2002年10月，将开发人类基因组的单体型图。HapMap将使发现影响常见疾病的序列变异、开发诊断工具以及选择治疗干预目标的能力成为可能。HapMap联盟将利用单核苷酸多态性来确定100万或更多序列变异的基因型、频率和它们之间的关联程度，从而表征遗传变异的常见模式。来自非洲、亚洲和欧洲部分地区祖先的DNA样本将被使用。数据的遗传和统计分析是由怀特黑德生物医学研究所（David Altshuler）、约翰霍普金斯大学（Aravinda Chakravarti）和牛津大学（Peter Donnelly）的三个资助分析小组负责的。

DESCRIPTION (provided by applicant): The International HapMap Project, formed in October 2002, will develop a haplotype map of the human genome. The HapMap will enable the discovery of sequence variants that affect common disease, the development of diagnostic tools, and the ability to choose targets for therapeutic intervention. The HapMap consortium will characterize the common patterns of genetic variation using single nucleotide polymorphisms by determining the genotypes of one million or more sequence variants, their frequencies and the degree of association between them. DNA samples from populations with ancestry from parts of Africa, Asia, and Europe will be used. Genetic and statistical analyses of the data are the responsibility of three funded analysis groups at the Whitehead Institute of Biomedical Research (David Altshuler), Johns Hopkins University (Aravinda Chakravarti) and Oxford University (Peter Donnelly). Statistical and population genetic methods for the analysis and interpretation of the HapMap genotypes are critical and methods to infer association patterns are in their early phase. There is a great need to spur additional development of analysis methods and to engage new investigators in this exciting project. To extend the utility of the HapMap project we wish to propose an open working meeting with a diverse group of analytical investigators in each of 2004 and 2005. We expect to include 40 investigators from the existing HapMap project and 60 from outside the project. The aims of the meeting will be to stimulate new methods development in this arena and to use a recent freeze of the data for intensive analysis by a variety of statistical methods by any investigator with interest. A meeting of invited talks and talks and posters based on abstract submissions from data analysis or methods development will be held.