克服与广泛共享人类基因组数据相关的挑战

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Jonathan E. LoTempio, Jonathan D. Moreno
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引用次数: 0

摘要

自人类基因组计划以来,基因组学的共识是数据应该广泛共享,以实现最大的社会效益。这种立场依赖于对“广泛数据共享”概念的不精确定义。因此,在具有里程碑意义的基因组研究中,数据共享的实施情况各不相同。在这个透视图中,我们确定了可以互换使用的广义定义,尽管它们具有不同的含义。我们进一步为基因组数据共享提供了一个明确概念的框架,并探讨了基因组学中产生公共数据的六个例子。最后,我们阐述了三个挑战。首先,我们探讨了重新解释一般研究使用数据的局限性的必要性。其次,我们考虑了来自现有样本的公共数据沉积的治理。第三,鉴于广义概念的变化,是否应该鼓励参与者公开分享他们作为参与者的身份。每个挑战之后都有建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overcoming challenges associated with broad sharing of human genomic data

Since the Human Genome Project, the consensus position in genomics has been that data should be shared widely to achieve the greatest societal benefit. This position relies on imprecise definitions of the concept of ‘broad data sharing’. Accordingly, the implementation of data sharing varies among landmark genomic studies. In this Perspective, we identify definitions of broad that have been used interchangeably, despite their distinct implications. We further offer a framework with clarified concepts for genomic data sharing and probe six examples in genomics that produced public data. Finally, we articulate three challenges. First, we explore the need to reinterpret the limits of general research use data. Second, we consider the governance of public data deposition from extant samples. Third, we ask whether, in light of changing concepts of broad, participants should be encouraged to share their status as participants publicly or not. Each of these challenges is followed with recommendations.

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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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