Ioannidis John P A, Boffetta Paolo, Little Julian, O'Brien Thomas R, Uitterlinden Andre G, Vineis Paolo, Balding David J, Chokkalingam Anand, Dolan Siobhan M, Flanders W Dana, Higgins Julian P T, McCarthy Mark I, McDermott David H, Page Grier P, Rebbeck Timothy R, Seminara Daniela, Khoury Muin J
Clinical and Molecular Epidemiology Unit, University of Ioannina School of Medicine, Ioannina 45110, Greece.
Int J Epidemiol. 2008 Feb;37(1):120-32. doi: 10.1093/ije/dym159. Epub 2007 Sep 26.
Established guidelines for causal inference in epidemiological studies may be inappropriate for genetic associations. A consensus process was used to develop guidance criteria for assessing cumulative epidemiologic evidence in genetic associations. A proposed semi-quantitative index assigns three levels for the amount of evidence, extent of replication, and protection from bias, and also generates a composite assessment of 'strong', 'moderate' or 'weak' epidemiological credibility. In addition, we discuss how additional input and guidance can be derived from biological data. Future empirical research and consensus development are needed to develop an integrated model for combining epidemiological and biological evidence in the rapidly evolving field of investigation of genetic factors.
流行病学研究中既定的因果推断指南可能不适用于基因关联研究。我们采用了一种共识流程来制定评估基因关联研究中累积流行病学证据的指导标准。一个提议的半定量指数为证据量、重复程度和偏倚防范设定了三个等级,还生成了“强”“中”或“弱”流行病学可信度的综合评估。此外,我们还讨论了如何从生物学数据中获取更多信息和指导。在基因因素研究这个快速发展的领域,需要未来的实证研究和共识发展来建立一个整合流行病学和生物学证据的综合模型。