Evaluation of Nyholt’s Procedure for Multiple Testing Correction

作者: Daria Salyakina , Shaun R. Seaman , Brian L. Browning , Frank Dudbridge , Bertram Müller-Myhsok

DOI: 10.1159/000087540

关键词: Word error rateSimple (abstract algebra)p-valueSample (statistics)MathematicsType I and type II errorsPermutationLinkage disequilibriumMultiple comparisons problemStatistics

摘要: Objective: A simple method for accounting efficiently multiple testing of many SNPs in an association study was recently proposed by Nyholt, but its performance not extensively evaluated. The involves estimating ‘effective number’ independent tests and then adjusting the smallest observed p value using Sidak’s formula based on this number tests. We sought to carry out empirical theoretical evaluation Nyholt’s method. Methods: applied a sample 31 genes typed at total 291 permutation used determine type-I error rate each gene. Based our results, we algebraically investigated effective model haplotype block structure. Results: nominal 5% type I varied from under 3% over 7%, dependent linkage disequilibrium. Theoretical considerations show further that can be very conservative presence Conclusion: Although approach may useful as exploratory tool, it is adequate substitute

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