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: 9919016
• 负责人: Laura A. Almasy
• 金额: $ 1.2万
• 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 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9919016
• 关键词: Address; Adoption; Area; Automobile Driving; Big Data; Biological; Collaborations; Communication; Complex; Data; Data Analyses; Development; Disease; Emerging Technologies; Environmental Exposure; Epidemiologic Methods; Epigenetic Process; Faculty; Feedback; Fostering; Future; Genome; Genomics; Goals; Growth; Human; Institution; Mentors; Metabolic; Methodology; Methods; Names; Oral; Participant; Pennsylvania; Phenotype; Philadelphia; Postdoctoral Fellow; Production; Research; Research Personnel; Respondent; Risk Factors; Sampling; Scientist; Series; Source; Statistical Methods; Students; Surveys; Technology; Training; Universities; Work; analytical method; analytical tool; base; cost; epidemiologic data; exome; genomic epidemiology; high dimensionality; human disease; interest; metabolomics; microbiome; multidimensional data; posters; satisfaction; statistics; symposium; trait; whole genome

Abstract Advances in technology and significant decrease in costs are driving progress in genomic studies. Studies of whole exome and genome sequences of complex traits in large samples are increasingly common. Other sources of high-dimensional information, including expression, epigenetic, metabolic and microbiome data, are also being 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 have developed an annual symposium held in Philadelphia on the campus of the University of Pennsylvania, 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. SAGES has been held continuously since 2013 and has enjoyed an increasing number of participants as well as participant satisfaction, with 98.9% of respondent to the post-symposium survey strongly agreeing or agreeing to the statement “I enjoyed attending SAGES 2018”. We propose to continue this successful formula in 2019 and 2020. Each 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. We will invite 7 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 two poster sessions will allow them to present their own current research. Two abstracts presented by students or post-docs will be selected for oral presentation. A pre-symposium “Meet the Speakers” get-together for junior attendees and a final reception open to all participants will encourage informal interactions, with the goal of facilitating collaborations and identification of possible new mentor-trainee relationships. More than 78% of respondent to the post-symposium survey strongly agreed or agreed with the statement “I made connections with colleagues by attending SAGES 2018 that are valuable for my work”. Our final goal is to promote training, collaboration, and the development and application of methodologies that will further our understanding of the complex mechanisms responsible for human disorders.

抽象的 技术的进步和成本的显着降低正在推动基因组研究的进步。 大样本中复杂性状的全外显子组和基因组序列越来越常见。 高维信息的来源，包括表达、表观遗传、代谢和微生物组数据 还收集疾病和健康样本，以充分了解人类疾病的复杂基础。 和正常表型变异，所有这些因素都应该在统一的分析中得到适当考虑 框架，以及有关环境暴露和其他风险因素的流行病学数据进行讨论。 如何应对这些数据源带来的分析挑战，我们制定了年度报告 研讨会在费城宾夕法尼亚大学校园举行，名为 Symposium on 基因组学、流行病学和统计学的进展 (SAGES) 我们的目标是促进基因组学、流行病学和统计学的发展。 弥合基因组学及相关新兴技术和数据分析之间差距的分析方法 领域；鼓励方法论和应用科学家之间的交流与合作； 通过让尽可能多的人参加我们的会议并促进年轻研究人员的培训 他们的积极参与以及与资深参与者的互动一直在持续进行。 自2013年以来，参与人数不断增加，参与满意度达到98.9% 研讨会后调查的受访者强烈同意或同意“我很高兴参加 SAGES 2018”。我们建议在 2019 年和 2020 年继续这一成功模式。每年我们都会选择主题。 在与基因组学和其他基于高维数据相关的统计和流行病学方法领域 我们将邀请从工作专家中选出的 7 位演讲者。 美国机构的参与者，包括理论科学家和应用科学家，将被邀请提交一份报告。 摘要与他们的注册，以及两次海报会议将使他们能够展示自己当前的研究。 将选择学生或博士后提交的两篇摘要进行口头报告。 为初级与会者举办的“演讲者”聚会以及向所有与会者开放的最后招待会将鼓励 非正式互动，目的是促进合作并确定可能的新导师实习生 超过 78% 的会后调查受访者强烈同意或同意这一点。 声明“通过参加 SAGES 2018，我与同事建立了联系，这对我的工作很有价值”。 最终目标是促进培训、协作以及方法的开发和应用， 进一步加深我们对导致人类疾病的复杂机制的理解。