A modified maximum contrast method for unequal sample sizes in pharmacogenomic studies

Kengo Nagashima, Yasunori Sato, Chikuma Hamada

Research output: Contribution to journalArticle

Abstract

In pharmacogenomic studies, biomedical researchers commonly analyze the association between genotype and biological response by using the Kruskal-Wallis test or one-way analysis of variance (ANOVA) after logarithmic transformation of the obtained data. However, because these methods detect unexpected biological response patterns, the power for detecting the expected pattern is reduced. Previously, we proposed a combination of the maximum contrast method and the permuted modified maximum contrast method for unequal sample size in pharmacogenomic studies. However, we noted that the distribution of the permuted modified maximum contrast statistic depends on nuisance parameter ?2, which is the population variance. In this paper, we propose a modified maximum contrast method with a statistic that does not depend on the nuisance parameter. Furthermore, we compare the performance of these methods via simulation studies. The simulation results showed that the modified maximum contrast method gave the lowest false-positive rate; therefore, this method is powerful for detecting the true response patterns in some conditions. Further, it is faster and more accurate than the permuted modified maximum contrast method. On the basis of these results, we suggest a rule of thumb to select the appropriate method in a given situation.

Original languageEnglish
Article number41
JournalStatistical Applications in Genetics and Molecular Biology
Volume10
Issue number1
DOIs
Publication statusPublished - 2011 Oct 11

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Keywords

  • biological response pattern
  • maximum contrast statistic
  • multiple contrast statistics
  • pharmacokinetics-related gene
  • unequal sample size

ASJC Scopus subject areas

  • Statistics and Probability
  • Molecular Biology
  • Genetics
  • Computational Mathematics

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