Including known covariates can reduce power to detect genetic effects in case-control studies

被引：0
|
作者：
Matti Pirinen
Peter Donnelly
Chris C A Spencer
机构：
[1] Wellcome Trust Centre for Human Genetics,Department of Statistics
[2] University of Oxford,undefined
[3] University of Oxford,undefined
来源：
Nature Genetics | 2012年 / 44卷
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摘要：
Peter Donnelly and colleagues report an analysis considering the inclusion of non-confounding covariates within genome-wide association studies and provide software that can be used to assess the impact on power within a particular study. They find that, when the disease prevalence is low, including known covariates, such as sex or established genetic associations, can reduce the power to detect new associations.
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页码：848 / 851
页数：3
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