The 2020 FASEB virtual Catalyst Conference on Integrative Approach for Complex Diseases Prevention and Management and Beyond, December 16, 2020.
The 2020 FASEB virtual Catalyst Conference on Integrative Approach for Complex Diseases Prevention and Management and Beyond, December 16, 2020.
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2020 年 FASEB 虚拟催化剂会议，讨论复杂疾病预防和管理及其他综合方法，2020 年 12 月 16 日。
DOI：
10.1096/fj.202100317
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Chen,BrianH
中科院分区：
文献类型：
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作者：
Chan,KeiHangKatie;Hsu,Yi-Hsiang;Yang,Xia;Goto,Atsushi;Chen,BrianH
第一届美国实验生物学学会联合会（FASEB）虚拟催化剂会议（CC），复杂疾病预防和管理及其他综合方法于2020年12月16日举行。会议重点讨论了几种疾病驱动的方法，包括多组学以及分子和遗传流行病学，这些方法已被应用于剖析从肌肉骨骼疾病，心脏代谢疾病和癌症到衰老的各种健康状况的病理生理学和病因学机制。在大约半天的时间里，有四个特邀演讲和两个主旨发言人。本CC基于以下理由组织。假设驱动和数据驱动的方法，整合了生物技术的最新发展，已被用来审查许多不同的复杂疾病的病因和分子机制，并提供疾病或死亡率分类和分层的见解。这些研究为预防和管理这些疾病及其他疾病提供了线索。这是虚拟CC系列中的第一次会议，旨在向全球观众介绍和讨论传统流行病学和分子流行病学以及遗传流行病学的前沿方法学实例。Yi-Hsiang（Sean）Hsu博士（美国哈佛大学希伯来老龄化研究所和马萨诸塞州理工学院布罗德研究所）作了第一次主旨发言，他举例说明了系统地从全基因组关联研究中确定目标的几种分析途径。徐博士讨论的方法可以识别因果变异，上游
The first Federation of American Societies for Experimental Biology (FASEB) virtual Catalyst Conference (CC), Integrative Approach for Complex Diseases Prevention and Management and Beyond, was held on December 16, 2020. The conference focused on several disease-driven approaches, including multiomics and molecular and genetic epidemiology, which have been applied to dissect the pathophysiological and etiological mechanism of a wide range of health conditions from musculoskeletal diseases, cardiometabolic diseases, and cancers to aging. There were four invited presentations and two keynote speakers over about half a day. This CC was organized based on the following rationale. Both hypothesis-driven and data-driven approaches that integrate the recent developments in biotechnology have been employed to scrutinize the etiologic and molecular mechanisms of many different complex diseases and to provide insights for diseases or mortality classification and stratification. These studies have shed light on the prevention and management of these diseases and beyond. This first conference among the virtual CC series aimed to present and discuss cutting-edge methodological examples in traditional epidemiology and molecular epidemiology, as well as genetic epidemiology, to a worldwide audience. The first keynote address was by Dr. Yi-Hsiang (Sean) Hsu (Hebrew SeniorLife Institute for Aging Research, Harvard University and Broad Institute of the Massachusetts Institute of Technology, Boston, MA, USA), who illustrated several analytical pipelines to identify targets from genome-wide association studies in a systematical manner. The discussed approaches by Dr. Hsu can identify causal variants, upstream