Todorov A A, Rao D C
Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Genet Epidemiol. 1997;14(5):453-64. doi: 10.1002/(SICI)1098-2272(1997)14:5<453::AID-GEPI1>3.0.CO;2-2.
This study examines the issue of false positives in genomic scans for detecting complex trait loci using subpair linkage methods and investigates the trade-off between the rate of false positives and the rate of false negatives. It highlights the tremendous cost in terms of power brought about by an excessive control of type I error and, at the same time, confirms that a larger number of false positives can occur otherwise in the course of a genomic scan. Finally, it compares the power and rate of false positives obtained in preplanned replicated studies conducted using a liberal significance level to those for single-step studies that use the same total sample size but stricter levels of significance. For the models considered here, replicate studies were found more attractive as long as one is willing to accept a trade-off, exchanging a much lower rate of false negatives for a slight increase in the rate of false positives.
本研究使用亚对连锁方法检验了基因组扫描中检测复杂性状基因座时的假阳性问题，并探讨了假阳性率与假阴性率之间的权衡。它强调了过度控制I型错误在效能方面带来的巨大代价，同时证实了在基因组扫描过程中，否则可能会出现更多的假阳性。最后，它比较了在使用宽松显著性水平进行的预先计划的重复研究中获得的效能和假阳性率，与使用相同总样本量但更严格显著性水平的单步研究的效能和假阳性率。对于这里考虑的模型，只要愿意接受一种权衡，即用低得多的假阴性率换取假阳性率的轻微增加，重复研究就更具吸引力。
