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International Journal of Genomics
Volume 2015, Article ID 693193, 15 pages
http://dx.doi.org/10.1155/2015/693193
Research Article

Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study

1Institute for Medical Biometry, Informatics, and Epidemiology, University of Bonn, 53127 Bonn, Germany
2Cologne Center for Genomics, University of Cologne, 50931 Cologne, Germany
3DNA Analysis Unit, Official College of Pharmacists and Biochemists, C1184ABA Buenos Aires, Argentina
4Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
5Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
6FBK, 38122 Trento, Italy
7Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, 6020 Innsbruck, Austria
8Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-University, 81377 Munich, Germany
9Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
10Institute of Medical Statistics and Epidemiology, Technical University Munich, 81675 Munich, Germany
11German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany

Received 1 January 2015; Revised 6 April 2015; Accepted 7 April 2015

Academic Editor: Ian Dunham

Copyright © 2015 A. N. Diaz-Lacava et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

A. N. Diaz-Lacava, M. Walier, D. Holler, et al., “Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study,” International Journal of Genomics, vol. 2015, Article ID 693193, 15 pages, 2015. https://doi.org/10.1155/2015/693193.