Genome Sequence Variation

基因组序列变异

• 批准号: 7058579
• 负责人: David Altshuler
• 金额: $ 1.2万
• 依托单位: KEYSTONE SYMPOSIA
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7058579
• 关键词: family genetics; functional /structural genomics; genetic susceptibility; human population genetics; meeting /conference /symposium; method development; travel

DESCRIPTION (provided by applicant): Common human diseases and most other traits vary in a continuous manner, modified by multiple genes and environmental influences. Rapidly expanding information about genome sequence variation is making it possible for the first time to perform well-powered searches for the inherited contributors to common diseases and other complex phenotypes. Success will provide insight into the genetic architecture of quantitative characteristics, the evolutionary history of trait variation, and the etiology of common human diseases. This meeting aims to bring together investigators from population genetics, genomics, quantitative genetics, epidemiology and medical research to examine these problems from a variety of perspectives. The root causes of most common human diseases remains unknown, with one of our most promising clues to causation being the familial clustering of disease. Leveraging information from the human genome projects, genetic epidemiology, quantitative and population genetics, it is increasingly practical to find the genetic determinants of common diseases. By bringing together leading investigators in each of these disciplines, this meeting will lead to improved methods to discover genetic contributors to disease, which will in turn improve the effectiveness and safety of interventions used to improve public health.

描述（由申请人提供）：常见的人类疾病和大多数其他特征以连续的方式变化，并受到多个基因和环境影响的影响。关于基因组序列变异的信息迅速扩展，首次使得对常见疾病和其他复杂表型的遗传因素进行强有力的搜索成为可能。成功将有助于深入了解数量特征的遗传结构、性状变异的进化历史以及常见人类疾病的病因学。这次会议旨在聚集来自群体遗传学、基因组学、数量遗传学、流行病学和医学研究的研究人员，从不同的角度审视这些问题。 大多数常见人类疾病的根本原因仍然未知，我们最有希望的因果关系线索之一是疾病的家族聚集性。利用人类基因组计划、遗传流行病学、定量和群体遗传学的信息，寻找常见疾病的遗传决定因素变得越来越实用。通过汇集各个学科的领先研究人员，这次会议将改进发现疾病遗传因素的方法，从而提高用于改善公共卫生的干预措施的有效性和安全性。