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校正COGA数据集中的确诊偏倚。

Correcting for ascertainment bias in the COGA data set.

作者信息

Comuzzie A G, Williams J T

机构信息

Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245-0549, USA.

出版信息

Genet Epidemiol. 1999;17 Suppl 1:S109-14. doi: 10.1002/gepi.1370170719.

Abstract

The effects of several corrections for ascertainment bias on a linkage result in the COGA data are examined. A correction that models the complete ascertainment protocol markedly reduces the evidence for linkage. Different partial corrections increase the linkage signal and recover good estimates of the population trait prevalence, but do not represent adequately the complexity of the COGA ascertainment scheme. Evidently the present size of the COGA data set cannot support a complete correction for ascertainment bias, but an effective partial correction can and should be implemented.

摘要

研究了几种针对确诊偏倚的校正方法对COGA数据连锁分析结果的影响。一种对完整确诊方案进行建模的校正方法显著降低了连锁的证据。不同的部分校正增加了连锁信号,并恢复了对群体性状患病率的良好估计,但没有充分体现COGA确诊方案的复杂性。显然,目前COGA数据集的规模无法支持对确诊偏倚进行完全校正,但可以且应该实施有效的部分校正。

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