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Explicit modeling of ancestry improves polygenic risk scores and BLUP prediction
Chia-Yen Chen, Jiali Han, David J. Hunter, Peter Kraft, Alkes L. Price
doi: https://doi.org/10.1101/012005
Chia-Yen Chen
1Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115
Jiali Han
1Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115
2Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02115
3Department of Epidemiology, Richard M. Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana 46202
David J. Hunter
1Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115
2Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02115
4Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142
Peter Kraft
1Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115
2Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts 02115
4Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142
5Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115
Alkes L. Price
1Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115
4Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142
5Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115
Article usage
Posted December 03, 2014.
Explicit modeling of ancestry improves polygenic risk scores and BLUP prediction
Chia-Yen Chen, Jiali Han, David J. Hunter, Peter Kraft, Alkes L. Price
bioRxiv 012005; doi: https://doi.org/10.1101/012005
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