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Contributions of the UK biobank high impact papers in the era of precision medicine.
European Journal of Epidemiology ( IF 7.7 ) Pub Date : 2020-01-28 , DOI: 10.1007/s10654-020-00606-7
Peter Glynn 1 , Philip Greenland 2, 3
Affiliation  

To review the highest impact studies published from the UK Biobank and assess their contributions to "precision medicine." We reviewed 140 of 689 studies published between 2008 and May 2019 from the UK Biobank deemed to be high impact by citations, alternative metric data, or publication in a high impact journal. We classified studies according to whether they (1) were largely methods papers, (2) largely replicated prior findings or associations, (3) generated novel findings or associations, (4) developed risk prediction models that did not yield clinically significant improvements in risk estimation over prior models or (5) developed models that produced significant improvements in individualized risk assessment, targeted screening, or targeted treatment. This final category represents "precision medicine." We classified 15 articles as category 1, 33 as category 2, 85 as category 3, six as category 4, and one as category 5. In this assessment of the first 7 years of the UK Biobank and first 4 years of genetic data availability, the majority of high impact UK Biobank studies either replicated known associations or generated novel associations without clinically relevant improvements in risk prediction, screening, or treatment. This information may be useful for designers of other cohort studies in terms of input to design and follow-up to facilitate precision medicine research.

中文翻译:

英国生物库高影响力论文在精密医学时代的贡献。

回顾英国生物银行发表的影响最大的研究,并评估其对“精密医学”的贡献。我们审查了2008年至2019年5月之间从英国生物银行发表的689项研究中的140项研究,这些研究被引文,替代指标数据或在高影响力期刊中发表认为具有较高影响力。我们根据研究结果(1)是否主要是方法论文,(2)大量重复的先前发现或关联,(3)产生了新发现或关联,(4)开发的风险预测模型并未在临床上显着改善风险来对研究进行分类对先前模型的估计或(5)已开发的模型,这些模型在个性化风险评估,针对性筛查或针对性治疗方面产生了显着改善。最后一个类别代表“精密医学”。我们将15篇文章归类为1类,将33类归为2类,将85类归为3类,将6类归为4类,将一项归类为5类。在对UK Biobank的前7年和遗传数据的前4年的评估中, UK Biobank大部分具有高影响力的研究要么重复已知的关联,要么产生新的关联,而在风险预测,筛查或治疗方面没有临床相关的改进。在设计输入和后续研究方面,该信息可能对其他同类研究的设计者有用,以促进精确医学研究。UK Biobank大部分具有高影响力的研究要么重复已知的关联,要么产生新的关联,而在风险预测,筛查或治疗方面没有临床相关的改进。在设计输入和后续研究方面,该信息可能对其他同类研究的设计者有用,以促进精确医学研究。UK Biobank大部分具有高影响力的研究要么重复已知的关联,要么产生新的关联,而在风险预测,筛查或治疗方面没有临床相关的改进。在设计输入和后续研究方面,该信息可能对其他同类研究的设计者有用,以促进精确医学研究。
更新日期:2020-01-30
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