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本文引用的文献

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Towards a data sharing Code of Conduct for international genomic research.迈向国际基因组研究数据共享行为准则。
Genome Med. 2011 Jul 14;3(7):46. doi: 10.1186/gm262.
2
Phenotype harmonization and cross-study collaboration in GWAS consortia: the GENEVA experience.GWAS 联盟中的表型协调和跨研究合作:GENEVA 的经验。
Genet Epidemiol. 2011 Apr;35(3):159-73. doi: 10.1002/gepi.20564. Epub 2011 Jan 31.
3
Extending the Mertonian Norms: Scientists' Subscription to Norms of Research.扩展默顿规范:科学家对研究规范的认同
J Higher Educ. 2010 May 1;81(3):366-393. doi: 10.1353/jhe.0.0095.
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Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls.冠状动脉疾病全基因组复制与荟萃分析(CARDIoGRAM)研究设计:一项涉及超过22000例病例和60000例对照的全基因组关联荟萃分析。
Circ Cardiovasc Genet. 2010 Oct;3(5):475-83. doi: 10.1161/CIRCGENETICS.109.899443. Epub 2010 Oct 5.
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Confronting real time ethical, legal, and social issues in the Electronic Medical Records and Genomics (eMERGE) Consortium.应对电子病历与基因组学(eMERGE)联盟中的实时伦理、法律和社会问题。
Genet Med. 2010 Oct;12(10):616-20. doi: 10.1097/GIM.0b013e3181efdbd0.
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Genomewide association studies and assessment of the risk of disease.全基因组关联研究与疾病风险评估
N Engl J Med. 2010 Jul 8;363(2):166-76. doi: 10.1056/NEJMra0905980.
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The road we must take: multidisciplinary team science.我们必须走的路:多学科团队科学。
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Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.基因组流行病学心脏与衰老研究队列(CHARGE)联盟:来自5个队列的全基因组关联研究的前瞻性荟萃分析设计
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大规模合作时代的研究指南:全基因组关联研究联盟分析。

Research guidelines in the era of large-scale collaborations: an analysis of Genome-wide Association Study Consortia.

机构信息

Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA.

出版信息

Am J Epidemiol. 2012 May 1;175(9):962-9. doi: 10.1093/aje/kwr441. Epub 2012 Apr 5.

DOI:10.1093/aje/kwr441
PMID:22491085
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3339312/
Abstract

Scientific research has shifted from studies conducted by single investigators to the creation of large consortia. Genetic epidemiologists, for example, now collaborate extensively for genome-wide association studies (GWAS). The effect has been a stream of confirmed disease-gene associations. However, effects on human subjects oversight, data-sharing, publication and authorship practices, research organization and productivity, and intellectual property remain to be examined. The aim of this analysis was to identify all research consortia that had published the results of a GWAS analysis since 2005, characterize them, determine which have publicly accessible guidelines for research practices, and summarize the policies in these guidelines. A review of the National Human Genome Research Institute's Catalog of Published Genome-Wide Association Studies identified 55 GWAS consortia as of April 1, 2011. These consortia were comprised of individual investigators, research centers, studies, or other consortia and studied 48 different diseases or traits. Only 14 (25%) were found to have publicly accessible research guidelines on consortia websites. The available guidelines provide information on organization, governance, and research protocols; half address institutional review board approval. Details of publication, authorship, data-sharing, and intellectual property vary considerably. Wider access to consortia guidelines is needed to establish appropriate research standards with broad applicability to emerging forms of large-scale collaboration.

摘要

科学研究已经从单一研究者的研究转变为大型合作的创建。例如,遗传流行病学家现在广泛合作进行全基因组关联研究(GWAS)。其结果是一系列已确认的疾病-基因关联。然而,对于人类受试者监督、数据共享、出版和作者身份实践、研究组织和生产力以及知识产权的影响仍有待研究。本分析的目的是确定自 2005 年以来发表 GWAS 分析结果的所有研究合作组织,对其进行描述,确定哪些具有公开获取的研究实践指南,并总结这些指南中的政策。对国立人类基因组研究所已发表的全基因组关联研究目录的审查发现,截至 2011 年 4 月 1 日,有 55 个 GWAS 合作组织。这些合作组织由个别研究人员、研究中心、研究或其他合作组织组成,研究了 48 种不同的疾病或特征。只有 14 个(25%)在合作组织网站上找到了可公开获取的研究指南。现有的指南提供了有关组织、治理和研究方案的信息;其中一半涉及机构审查委员会的批准。出版、作者身份、数据共享和知识产权的细节差异很大。需要更广泛地获取合作组织指南,以建立适用于新兴大规模合作形式的广泛适用的适当研究标准。