Achieving k-anonymity in DataMarts used for gene expressions exploitation

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Achieving k-anonymity in DataMarts used for gene expressions exploitation

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by Konrad Stark , Johann Eder , Kurt Zatloukal

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@MISC{Stark_achievingk-anonymity,
    author = {Konrad Stark and Johann Eder and Kurt Zatloukal},
    title = {Achieving k-anonymity in DataMarts used for gene expressions exploitation},
    year = {}
}

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Abstract

Gene expression profiling is a sophisticated method to discover differences in activation patterns of genes between different patient collectives. By reasonably defining patient groups from a medical point of view, subsequent gene expression analysis may reveal disease-related gene expression patterns that are applicable for tumor markers and pharmacological target identification. When releasing patient-specific data for medical studies privacy protection has to be guaranteed for ethical and legal reasons. k-anonymisation may be used to generate a sufficient number of k data twins in order to ensure that sensitive data used in analyses is protected from being linked to individuals. We use an adapted concept of k-anonymity for distributed data sources and include various customisation parameters in the anonymisation process to guarantee that the transformed data is still applicable for further processing. We present a real-world medical-relevant use case and show how the related data is materialised, anonymised, and released in a data mart for testing the related hypotheses. 1

Keyphrases

gene expression exploitation different patient collective legal reason disease-related gene expression pattern data mart medical study privacy protection anonymisation process data twin pharmacological target identification patient group activation pattern related data tumor marker various customisation parameter gene expression profiling adapted concept sensitive data subsequent gene expression analysis related hypothesis sophisticated method real-world medical-relevant use case data source medical point patient-specific data sufficient number

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