Introduction

The application of a genomics assay to samples from a cohort is a frequently applied experimental design in cancer genomics studies. The collection and analysis of cancer sequencing data in the clinical setting is an elaborate process that may involve consenting patients, obtaining possibly-multiple DNA samples, sequencing and analysis. Many of these steps are manual. At any stage mistakes can occur that cause a DNA sample to be labelled incorrectly. However, there is a paucity of methods in the literature to identify such swaps specifically in cancer studies.Here, we introduce a simple method, HYSYS, to estimate the relatedness of samples and test for sample swaps and contamination. The test uses the concordance of homozygous SNPs between samples. The method is motivated by the observation that homozygous germline population variants rarely change in the disease and are not affected by loss of heterozygosity. Our tools include visualization and a testing framework to flag possible sample swaps. We demonstrate the utility of this approach on a small cohort.http://github.com/PapenfussLab/HaveYouSwappedYourSamples.papenfuss@wehi.edu.au.Supplementary data are available at Bioinformatics online.

Publications

  1. HYSYS: have you swapped your samples?
    Cite this
    Schröder J, Corbin V, Papenfuss AT, 2017-02-01 - Bioinformatics (Oxford, England)

Credits

  1. Jan Schröder
    Developer

    Peter MacCallum Cancer Centre, Melbourne 3000, Australia

  2. Vincent Corbin
    Developer

    Department of Medical Biology, The University of Melbourne, Australia

  3. Anthony T Papenfuss
    Investigator

    Sir Peter MacCallum Department of Oncology, University of Melbourne, Australia

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Summary
AccessionBT001810
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Country/RegionAustralia
Submitted ByAnthony T Papenfuss