TRAB: testing whether mutation frequencies are above an unknown background.

Giovanni Parmigiani, Sining Chen

Research output: Contribution to journalArticlepeer-review


To rigorously determine whether a gene or a set of genes have alterations that are involved in carcinogenesis requires a comparison of the prevalence of identified changes to a control mutation frequency present in tumor DNA. To facilitate this task, we develop a testing approach and the associated R library, called TRAB, that evaluates whether the frequency of somatic mutation in a given gene is higher than that observed in a control group of genes. Specifically, we test the null hypothesis that the frequency belongs to a control population of frequencies, against the alternative hypothesis that the frequency is higher. Mutation frequencies in the control group are themselves allowed to be variable. TRAB computes the a posteriori probability and the Bayes factor for the hypothesis using a hierarchical Bayesian approach.

Original languageEnglish (US)
JournalStatistical Applications in Genetics and Molecular Biology
StatePublished - 2008

ASJC Scopus subject areas

  • Genetics

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