Symposium on Advances in Genomics, Epidemiology, and Statistics (SAGES)

基因组学、流行病学和统计学进展研讨会 (SAGES)

• 批准号: 8911047
• 负责人: Marcella Devoto
• 金额: $ 1万
• 依托单位: CHILDREN'S HOSP OF PHILADELPHIA
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8911047
• 关键词: Address; Age; Area; Automobile Driving; Big Data; Biological; Clinical; Collaborations; Communication; Complex; Computer software; Computers; DNA Sequence; Data; Data Analyses; Data Sources; Databases; Development; Disease; Educational workshop; Emerging Technologies; Environmental Exposure; Epidemiologic Methods; Epidemiologic Studies; Epidemiology; Epigenetic Process; Event; Fostering; Genetic study; Genomics; Goals; Human; Institution; Metabolic; Methodology; Methods; Names; Participant; Pennsylvania; Philadelphia; Population; Production; Public Health; Research; Research Personnel; Risk Factors; Sampling; Scientist; Series; Source; Statistical Methods; Systems Biology; Technology; Training; Universities; Work; abstracting; analytical method; analytical tool; base; cost; exome; exome sequencing; follow-up; genetic analysis; genetic epidemiology; genome sequencing; human disease; interest; metabolomics; next generation sequencing; posters; public health relevance; rare variant; statistics; symposium; trait

 DESCRIPTION: Advances in genomic technology and significant decrease in the associated costs are driving progress in genetic studies. Studies of whole exome and genome sequences of complex traits in large samples are becoming increasingly common. Other sources of high-dimensional information, including expression, epigenetic, metabolic and microbiomic data, are also being commonly collected in disease and healthy samples. To fully understand the complex bases of human disease and normal phenotypic variability, all of these factors should be properly considered in a unified analytical framework, together with epidemiological data on environmental exposures and other risk factors. To discuss how to address the analytical challenges presented by these sources of data, we propose a series of annual symposia to be held in Philadelphia on the campus of the University of Pennsylvania, and hence named Symposium on Advances in Genomics, Epidemiology, and Statistics (SAGES). Our objectives are to favor development of analytical methods to bridge the gap between emerging technologies and data analysis in genomics and related fields; to encourage exchange and collaboration between methodological and applied scientists; and to foster training of young investigators by giving access to our conference to the largest possible number and promoting their active participation and interaction with the more senior participants. Our first two symposi were held in 2013 on "Methods and Applications in the Next Generation Sequencing Age", and in 2014 on "Integrated Systems Biology Analytical Methods for Epidemiological Studies of Complex Traits". We will follow up on these successful events with the 2015 Symposium on "Beyond DNA Sequencing: Emerging Challenges in Quantitative Genomic Analysis". We will invite 8 speakers chosen among experts working in US institutions, including both theoretical and applied scientists. Participants will be invited to submit an abstract with their registration, and we will have a poster session for them to present their current research. We will precede each symposium with a half-day workshop that will include hands-on computer training using genetic analysis software related to the methods presented at the symposium. In 2015, the theme of the workshop will be on analysis of rare variants from next-gen sequencing data. Each subsequent year we will select topics in the area of statistical and epidemiological methods related to genomics and other high-dimensional data based on perceived interest and potential impact on research. Specifically, our themes for 2016 and 2017 are: "Clinical and Public Health Impact of Genomic Studies"; and "Population and Evolutionary Genomics and Their Implications for Disease Studies". Our final goal is to promote the development of methodologies and collaborations that will further our understanding of the complex mechanisms responsible for human disorders.

 基因组技术的进步和相关成本的显着降低正在推动遗传研究的进展。在大样本中研究复杂性状的整个外显子组和基因组序列变得越来越普遍。其他来源的高维信息，包括表达，表观遗传，代谢和微生物组学数据，也经常收集疾病和健康样本。为了充分了解人类疾病和正常表型变异的复杂基础，应在统一的分析框架内适当考虑所有这些因素，以及关于环境暴露和其他风险因素的流行病学数据。为了讨论如何解决这些数据来源所带来的分析挑战，我们建议在费城宾夕法尼亚大学校园内举行一系列年度研讨会，并因此命名为基因组学，流行病学和统计学进展研讨会（SAGES）。我们的目标是促进分析方法的发展，以弥合基因组学和相关领域新兴技术与数据分析之间的差距;鼓励方法科学家和应用科学家之间的交流与合作;并通过尽可能多地参加我们的会议并促进他们的积极参与和与更高级参与者的互动来促进年轻研究人员的培训。我们的前两个专题讨论会分别于2013年举行，主题是“下一代测序时代的方法和应用”，以及2014年举行的“复杂性状流行病学研究的综合系统生物学分析方法”。我们将在2015年的研讨会“超越DNA测序：定量基因组分析的新挑战”上跟进这些成功的活动。我们将邀请在美国机构工作的专家中选出的8位演讲者，包括理论和应用科学家。参与者将被邀请在注册时提交一份摘要， 我们会有一个海报展示会让他们展示他们目前的研究。在每次研讨会之前，我们将举行为期半天的研讨会，其中包括使用与研讨会上提出的方法相关的遗传分析软件进行计算机操作培训。2015年，研讨会的主题将是从下一代测序数据中分析罕见变异。随后的每一年，我们将根据对研究的兴趣和潜在影响，选择与基因组学和其他高维数据相关的统计和流行病学方法领域的主题。具体来说，我们2016年和2017年的主题是：“基因组研究的临床和公共卫生影响”;和“人口和进化基因组学及其对疾病研究的影响”。我们的最终目标是促进方法和合作的发展，这将进一步加深我们对人类疾病复杂机制的理解。