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Applied to the pyramid analysis, the traditional FDR approach [ 16], which assumes a uniform null distribution, may produce misleading results [ 17].
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Although our primary interest here was in the results of the pyramid analysis of the drug-specific component, the method can be applied to the analysis of general platinum sensitivity including cellular proliferation as well.
To evaluate the performance of the pyramid analysis, we compared the distribution of p-values identified through traditional GWAS and that obtained from our pyramid analysis.
These results demonstrate the substantial gain in power from an application of the pyramid analysis, at least for some traits, despite the small sample size.
The (potentially arbitrary) threshold chosen at each stage of the pyramid analysis may of course yield results that are not overall significant; furthermore, the filtering steps (stage 1-5) were done on the same set of samples as those on which the test (at the final stage) for SNP association was done.
By restricting to only those genetic variants that may be of functional significance as QTLs, we reduced the multiple testing burden in the pyramid analysis compared to traditional GWAS analysis.
Importantly, our permutation-based method accounts for the potentially arbitrary threshold used at each stage of the pyramid analysis.
(6) Y i = δ 0 + δ 1 S ki + W i θ + ϵ * * * * * i with ϵ * * * * * i ~ N 0, σ * * * * * 2 genetic association testing In our particular implementation of the pyramid analysis, we chose p < 0.05 in stages 1 and 2 to select the trait-associated genes and miRNAs.
The pyramid analysis is a six-stage analytic framework.
In this study, the pyramid analysis was applied to carboplatin and cisplatin separately.
The pyramid analysis was performed using carboplatin and cisplatin DSPs instead of IC50s this time.
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