Kraft Peter, Zeggini Eleftheria, Ioannidis John P A
Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Stat Sci. 2009 Nov 1;24(4):561-573. doi: 10.1214/09-STS290.
Replication helps ensure that a genotype-phenotype association observed in a genome-wide association (GWA) study represents a credible association and is not a chance finding or an artifact due to uncontrolled biases. We discuss prerequisites for exact replication; issues of heterogeneity; advantages and disadvantages of different methods of data synthesis across multiple studies; frequentist vs. Bayesian inferences for replication; and challenges that arise from multi-team collaborations. While consistent replication can greatly improve the credibility of a genotype-phenotype association, it may not eliminate spurious associations due to biases shared by many studies. Conversely, lack of replication in well-powered follow-up studies usually invalidates the initially proposed association, although occasionally it may point to differences in linkage disequilibrium or effect modifiers across studies.
重复验证有助于确保在全基因组关联(GWA)研究中观察到的基因型-表型关联代表一种可靠的关联,而不是由于未控制的偏差导致的偶然发现或假象。我们讨论了精确重复验证的先决条件;异质性问题;跨多个研究的不同数据合成方法的优缺点;重复验证中的频率论与贝叶斯推断;以及多团队合作带来的挑战。虽然一致的重复验证可以大大提高基因型-表型关联的可信度,但它可能无法消除由于许多研究共有的偏差而产生的虚假关联。相反,在有足够效力的后续研究中缺乏重复验证通常会使最初提出的关联无效,尽管偶尔它可能表明不同研究之间连锁不平衡或效应修饰因子的差异。