Power and type I error rate of false discovery rate approaches in genome-wide association studies.
Power and type I error rate of false discovery rate approaches in genome-wide association studies.
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DOI：
10.1186/1471-2156-6-s1-s134
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发表时间：
2005-12-30
期刊：
影响因子：
2.9
通讯作者：
Demissie S
中科院分区：
文献类型：
--
作者：
Yang Q;Cui J;Chazaro I;Cupples LA;Demissie S
在具有大量标记的全基因组遗传研究中，平衡I型错误率和功效是一个具有挑战性的问题。最近提出的错误发现率（FDR）的方法是有前途的解决这个问题。使用100个模拟数据集的全基因组标记图间隔约3厘米和表型从遗传分析研讨会14，我们研究了I型错误率和权力的Storey的FDR方法，并将其与传统的Bonferroni程序。我们证实了Storey的FDR方法对FDR有很强的控制力。我们发现，Storey的FDR方法只提供了弱控制的家庭明智的错误率（FWER）。对于这些模拟数据集，Storey的FDR方法仅具有比Bonferroni程序略高的功效。总之，如果需要FDR的强控制或FWER的弱控制，Storey的FDR方法比Bonferroni方法更强大。如果标记之间存在低连锁不平衡，则Storey的FDR方法与Bonferroni方法相比没有功率优势。进一步评估的I型错误率和权力的FDR方法更高的连锁不平衡和单倍型分析是必要的。
In genome-wide genetic studies with a large number of markers, balancing the type I error rate and power is a challenging issue. Recently proposed false discovery rate (FDR) approaches are promising solutions to this problem. Using the 100 simulated datasets of a genome-wide marker map spaced about 3 cM and phenotypes from the Genetic Analysis Workshop 14, we studied the type I error rate and power of Storey's FDR approach, and compared it to the traditional Bonferroni procedure. We confirmed that Storey's FDR approach had a strong control of FDR. We found that Storey's FDR approach only provided weak control of family-wise error rate (FWER). For these simulated datasets, Storey's FDR approach only had slightly higher power than the Bonferroni procedure. In conclusion, Storey's FDR approach is more powerful than the Bonferroni procedure if strong control of FDR or weak control of FWER is desired. Storey's FDR approach has little power advantage over the Bonferroni procedure if there is low linkage disequilibrium among the markers. Further evaluation of the type I error rate and power of the FDR approaches for higher linkage disequilibrium and for haplotype analyses is warranted.