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。研究 大样本中复杂性状的整个外显子组和基因组序列越来越普遍。其他 高维信息的来源，包括表达，表观遗传学，代谢组和微生物组数据 还收集在疾病和健康样本中。充分了解人类疾病的复杂基础 和正常的表型变异性，所有这些因素都应在统一的分析中正确考虑 框架，以及有关环境暴露和其他风险因素的流行病学数据。讨论 如何解决这些数据源提出的分析挑战，我们已经开发了年度 在宾夕法尼亚大学校园举行的费城举行的研讨会，名为“ 基因组学，流行病学和统计数据的进步（SAGES）。我们的目标是赞成发展 分析方法弥合新兴技术与基因组学和相关数据分析之间的差距 字段；鼓励方法论和应用科学家之间的交流和协作；并养育 培训年轻调查人员通过访问我们的会议的最大数量和晋升的培训 他们积极参与和与更多高级参与者的互动。圣人一直保持着 自2013年以来，参与者和参与者的满意度越来越多，98.9％ 回应后康斯群岛调查强烈同意或同意“我喜欢参加的声明 SAGES 2018”。我们建议在2019年和2020年继续这个成功的公式。我们每年都会选择主题 在与基因组学和其他基于高维数据有关的统计和流行病学方法领域 关于感知的兴趣和对研究的潜在影响。我们将邀请7位在工作的专家中选出的7位演讲者 在美国机构中，包括理论和应用科学家。将邀请参与者提交 摘要及其注册和两个海报会议将使他们能够展示自己的当前研究。 学生或毕业后提出的两个摘要将被选为口头演示。预选前“见面 演讲者”聚会为初级与会者和所有参与者开放的最终招待会将鼓励 非正式互动，目的是促进合作并确定可能的新导师培训 关系。超过78％的回应 - 符合后调查强烈同意或同意 声明“我通过参加对我的工作有价值的Sages 2018与同事建立了联系”。我们的 最终目标是促进培训，协作以及方法的开发和应用 进一步，我们对负责人类疾病的复杂机制的理解。