Palmer Rohan H C, Johnson Emma C, Won Hyejung, Polimanti Renato, Kapoor Manav, Chitre Apurva, Bogue Molly A, Benca-Bachman Chelsie E, Parker Clarissa C, Verma Anurag, Reynolds Timothy, Ernst Jason, Bray Michael, Kwon Soo Bin, Lai Dongbing, Quach Bryan C, Gaddis Nathan C, Saba Laura, Chen Hao, Hawrylycz Michael, Zhang Shan, Zhou Yuan, Mahaffey Spencer, Fischer Christian, Sanchez-Roige Sandra, Bandrowski Anita, Lu Qing, Shen Li, Philip Vivek, Gelernter Joel, Bierut Laura J, Hancock Dana B, Edenberg Howard J, Johnson Eric O, Nestler Eric J, Barr Peter B, Prins Pjotr, Smith Desmond J, Akbarian Schahram, Thorgeirsson Thorgeir, Walton Dave, Baker Erich, Jacobson Daniel, Palmer Abraham A, Miles Michael, Chesler Elissa J, Emerson Jake, Agrawal Arpana, Martone Maryann, Williams Robert W
Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, Georgia, USA.
Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
Genes Brain Behav. 2021 Apr 23;20(6):e12738. doi: 10.1111/gbb.12738.
The National Institute on Drug Abuse and Joint Institute for Biological Sciences at the Oak Ridge National Laboratory hosted a meeting attended by a diverse group of scientists with expertise in substance use disorders (SUDs), computational biology, and FAIR (Findability, Accessibility, Interoperability, and Reusability) data sharing. The meeting's objective was to discuss and evaluate better strategies to integrate genetic, epigenetic, and 'omics data across human and model organisms to achieve deeper mechanistic insight into SUDs. Specific topics were to (a) evaluate the current state of substance use genetics and genomics research and fundamental gaps, (b) identify opportunities and challenges of integration and sharing across species and data types, (c) identify current tools and resources for integration of genetic, epigenetic, and phenotypic data, (d) discuss steps and impediment related to data integration, and (e) outline future steps to support more effective collaboration-particularly between animal model research communities and human genetics and clinical research teams. This review summarizes key facets of this catalytic discussion with a focus on new opportunities and gaps in resources and knowledge on SUDs.
美国国家药物滥用研究所与橡树岭国家实验室的联合生物科学研究所主办了一次会议，参会人员包括在物质使用障碍（SUDs）、计算生物学以及FAIR（可查找性、可访问性、互操作性和可重用性）数据共享方面具有专业知识的各类科学家。此次会议的目的是讨论和评估更好的策略，以整合人类和模式生物中的遗传、表观遗传和“组学”数据，从而更深入地洞察物质使用障碍的机制。具体议题包括：（a）评估物质使用遗传学和基因组学研究的现状以及基本差距；（b）确定跨物种和数据类型进行整合与共享的机遇和挑战；（c）确定整合遗传、表观遗传和表型数据的现有工具和资源；（d）讨论与数据整合相关的步骤和障碍；（e）概述支持更有效合作的未来步骤，特别是动物模型研究群体与人类遗传学及临床研究团队之间的合作。本综述总结了此次催化性讨论的关键方面，重点关注物质使用障碍在资源和知识方面的新机遇与差距。
