Journal article

MultiBLUP: improved SNP-based prediction for complex traits

Doug Speed, David J Balding

Genome Research | COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT | Published : 2014

University of Melbourne Researchers

Grants

Awarded by National Institute of Diabetes and Digestive and Kidney Disease


Awarded by UK Medical Research Council


Awarded by Medical Research Council


Funding Acknowledgements

We thank David van Heel of Queen Mary University of London for providing the celiac disease data, Sang Lee of the Queensland Institute of Medical Research for helpful advice regarding average information REML, and three anonymous reviewers for their constructive suggestions. Analyses were performed with the use of the UCL Legion High Performance Computing Facility (Legion@UCL) and with the help of the associated support services. Access to Wellcome Trust Case Control Consortium data was authorized as work related to the project "Genome wide association study of susceptibility and clinical phenotypes in epilepsy"; and access to data from the National Institute of Diabetes and Digestive and Kidney Disease was granted under Project 5938, "Using genome-wide SNP data to predict disease behavior for Crohn's disease." This work is funded by the UK Medical Research Council under grant G0901388, with support from the National Institute for Health Research, University College London Hospitals Biomedical Research Centre.