Communicated by Christopher G. Mathew
Methods
Use of support vector machines for disease risk prediction in genome-wide association studies: Concerns and opportunities†
Article first published online: 3 AUG 2012
DOI: 10.1002/humu.22161
© 2012 Wiley Periodicals, Inc.
Additional Information
How to Cite
Mittag, F., Büchel, F., Saad, M., Jahn, A., Schulte, C., Bochdanovits, Z., Simón-Sánchez, J., Nalls, M. A., Keller, M., Hernandez, D. G., Gibbs, J. R., Lesage, S., Brice, A., Heutink, P., Martinez, M., Wood, N. W., Hardy, J., Singleton, A. B., Zell, A., Gasser, T. and Sharma, M. (2012), Use of support vector machines for disease risk prediction in genome-wide association studies: Concerns and opportunities. Hum. Mutat., 33: 1708–1718. doi: 10.1002/humu.22161
- †
Publication History
- Issue published online: 12 NOV 2012
- Article first published online: 3 AUG 2012
- Accepted manuscript online: 6 JUL 2012 10:06AM EST
- Manuscript Accepted: 18 JUN 2012
- Manuscript Received: 16 FEB 2012
Funded by
- Intramural Research Programs of the National Institute on Aging; National Institute of Neurological Disorders and Stroke; National Institute of Environmental Health Sciences; National Human Genome Research Institute of the National Institutes of Health; Department of Health and Human Services (project numbers Z01-AG000949-02 and Z01-ES101986); Human subjects protocol 2003-077; US Department of Defense (award number W81XWH-09-2-0128); National Institutes of Health (grants NS057105 and RR024992); American Parkinson disease Association (APDA); Barnes Jewish Hospital Foundation; Greater St Louis Chapter of the APDA; Hersenstichting Nederland; Neuroscience Campus Amsterdam; the section of medical genomics, the Prinses Beatrix Fonds; and the Michael J. Fox foundation; the KORA (Cooperative Research in the Region of Augsburg) research platform was started and financed by the Forschungszentrum für Umwelt und Gesundheit, which is funded by the German Federal Ministry of Education, Science, Research, and Technology and by the State of Bavaria; German National Genome Network (NGFNplus number 01GS08134, German Ministry for Education and Research); German Federal Ministry of Education and Research (NGFN 01GR0468, PopGen); Initiative and Networking Fund of the Helmholtz Association (01EW0908 in the frame of ERA-NET NEURON); French National Agency of Research (ANR-08-MNP-012)
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