The Federated European Genome–Phenome Archive as a global network for sharing human genomics data

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Teresa D’Altri, Mallory Ann Freeberg, Amy J. Curwin, Ana Alonso, Ana T. Freitas, Salvador Capella-Gutierrez, Luiz Gadelha, Anna Hagwall, Eivind Hovig, Giselle Kerry, Koray Kirli, Krzysztof Kochel, Oliver Kohlbacher, Jan O. Korbel, Jaakko Leinonen, Blazej Marciniak, Jorge S. Oliveira, Kjell Petersen, Mário J. Silva, Oliver Stegle, Alfonso Valencia, Johan Viklund, Roderic Guigo, Helen Parkinson, Arcadi Navarro, Jordi Rambla, Thomas M. Keane
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引用次数: 0

Abstract

In this era of rapidly expanding human genomics in research and healthcare, efficient data reuse is essential to maximize benefits for society. In response, the Federated European Genome–Phenome Archive (FEGA) was launched in 2022, and as of 2024, the FEGA network was composed of seven national nodes. Here we describe the complexities, challenges and achievements of FEGA, unravelling the dynamic interplay of regulatory frameworks, technical challenges and the shared vision of advancing genomic research.

Abstract Image

Abstract Image

作为全球人类基因组学数据共享网络的欧洲基因组-表型组联合档案馆
在这个人类基因组学在研究和医疗保健领域迅速发展的时代,高效的数据再利用对于实现社会效益最大化至关重要。为此,欧洲基因组-表型组联合档案馆(FEGA)于2022年启动,截至2024年,FEGA网络由七个国家节点组成。在此,我们将介绍 FEGA 的复杂性、挑战和成就,揭示监管框架、技术挑战和推进基因组研究的共同愿景之间的动态相互作用。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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