Performance and Robustness of Penalized and Unpenalized Methods for Genetic Prediction of Complex Human Disease
Gad Abraham, Adam Kowalczyk, Justin Zobel, Michael Inouye
Genetic Epidemiology | WILEY | Published : 2013
Related Projects (1)
Awarded by Victorian Life Sciences Computation Initiative
Awarded by NHMRC Biomedical Australian Training Fellowship
Awarded by Wellcome Trust
Thanks to David A. van Heel (Queen Mary University of London) for supplying the celiac disease data, to Peter Visscher (University of Queensland) and Naomi Wray (University of Queensland) for useful discussions, to Laurent Jacob (University of California, Berkeley) for discussion of correlation effects on the lasso, and to Jian Yang (University of Queensland) for help with GCTA. This work was supported by the Australian Research Council, and by the NICTA Victorian Research Laboratory. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications, and the Digital Economy, and the Australian Research Council through the ICT Centre of Excellence program. This work utilized the computing resources of the Victorian Life Sciences Computation Initiative (project VR0126). M. I. was supported by an NHMRC Biomedical Australian Training Fellowship (no. 637400). This study makes use of data generated by the Wellcome Trust Case-Control Consortium. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113 and 085475.