Volume 17, Issue S1 pp. S709-S714
II. Problem 2: Analysis of Simulated Family Data for a Complex Disease
Free Access

Systematic search for susceptibility genes in different populations

Silke Schmidt

Silke Schmidt

Division of Epidemiology, German Cancer Research Center (DKFZ), Heidelberg

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Michael Scholz

Michael Scholz

Institute for Medical Statistics and Epidemiology, Technische Universität München

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Sabine Loesgen

Sabine Loesgen

Institute for Medical Statistics and Epidemiology, Technische Universität München

Institute of Epidemiology, GSF-National Research Center for Environment and Health, Neuherberg, Germany

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Dr. Heike Bickeböller

Corresponding Author

Dr. Heike Bickeböller

Institute for Medical Statistics and Epidemiology, Technische Universität München

Inst, for Medical Stat, and Epidemiol., Technische Universität München, Klinikum rechts der Isar, Ismaninger Straße 22, D-81675 München, Germany.Search for more papers by this author
First published: 21 November 2013

Abstract

We analyzed the first replicate of each of the four simulated population samples from three distinct populations by linkage and association genome scans and could identify three regions with susceptibility loci for the disease: on chromosome 1, marker D1G024, with strong evidence for gene×environment interaction; on chromosome 3, around marker D3G045; and on chromosome 5, markers D5G035–D5G042. Our results were obtained without knowing the true disease model and are compared with this model in the discussion.

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