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A road map for efficient and reliable human genome epidemiology.
Nature Genetics ( IF 31.7 ) Pub Date : 2006-01-01 , DOI: 10.1038/ng0106-3
John P A Ioannidis 1 , Marta Gwinn , Julian Little , Julian P T Higgins , Jonine L Bernstein , Paolo Boffetta , Melissa Bondy , Molly S Bray , Paul E Brenchley , Patricia A Buffler , Juan Pablo Casas , Anand Chokkalingam , John Danesh , George Davey Smith , Siobhan Dolan , Ross Duncan , Nelleke A Gruis , Patricia Hartge , Mia Hashibe , David J Hunter , Marjo-Riitta Jarvelin , Beatrice Malmer , Demetrius M Maraganore , Julia A Newton-Bishop , Thomas R O'Brien , Gloria Petersen , Elio Riboli , Georgia Salanti , Daniela Seminara , Liam Smeeth , Emanuela Taioli , Nic Timpson , Andre G Uitterlinden , Paolo Vineis , Nick Wareham , Deborah M Winn , Ron Zimmern , Muin J Khoury ,
Affiliation  

Networks of investigators have begun sharing best practices, tools and methods for analysis of associations between genetic variation and common diseases. A Network of Investigator Networks has been set up to drive the process, sponsored by the Human Genome Epidemiology Network. A workshop is planned to develop consensus guidelines for reporting results of genetic association studies. Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks. Systematic reviews will be expanded to include more meta-analyses of individual-level data and prospective meta-analyses. Field synopses will offer regularly updated overviews.

中文翻译:

高效可靠的人类基因组流行病学路线图。

研究人员网络已开始分享分析遗传变异与常见疾病之间关联的最佳实践、工具和方法。已经建立了一个由人类基因组流行病学网络赞助的调查员网络网络来推动这一进程。计划召开一次研讨会,以制定报告遗传关联研究结果的共识指南。已发表的文献数据库将被整合,未发表的数据,包括“负面”研究,将被在线期刊和研究者网络获取。系统评价将扩大到包括更多的个人层面数据的荟萃分析和前瞻性荟萃分析。领域概要将提供定期更新的概述。
更新日期:2019-11-01
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