Analyzing the Potential for Incorrect Haplotype Calls with Different Pharmacogenomic Assays in Different Populations: A Simulation Based on 1000 Genomes Data

Matthias Samwald1 Section for Medical Expert & Knowledge-Based Systems, Center for Medical Statistics, Informatics & Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090 Vienna,AustriaCorrespondence[email protected]
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Kathrin Blagec1 Section for Medical Expert & Knowledge-Based Systems, Center for Medical Statistics, Informatics & Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090 Vienna,AustriaView further author information

Sebastian Hofer1 Section for Medical Expert & Knowledge-Based Systems, Center for Medical Statistics, Informatics & Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090 Vienna,AustriaView further author information

Robert R Freimuth2 Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USAView further author information

Analyzing the Potential for Incorrect Haplotype Calls with Different Pharmacogenomic Assays in Different Populations: A Simulation Based on 1000 Genomes Data

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Analyzing the Potential for Incorrect Haplotype Calls with Different Pharmacogenomic Assays in Different Populations: A Simulation Based on 1000 Genomes Data

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