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Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
Zhili Zheng, Shouye Liu, Julia Sidorenko, Loic Yengo, Patrick Turley, Alireza Ani, Rujia Wang, Ilja M. Nolte, Harold Snieder, Lifelines Cohort Study, View ORCID ProfileJian Yang, View ORCID ProfileNaomi R Wray, Michael E Goddard, Peter M Visscher, View ORCID ProfileJian Zeng
doi: https://doi.org/10.1101/2022.10.12.510418
Zhili Zheng
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
2Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
3Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
4Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
Shouye Liu
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
Julia Sidorenko
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
Loic Yengo
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
Patrick Turley
5Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
6Department of Economics, University of Southern California, Los Angeles, CA, USA
Alireza Ani
7Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
8Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
Rujia Wang
7Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
Ilja M. Nolte
7Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
Harold Snieder
7Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
Jian Yang
10School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
11Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
Naomi R Wray
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
12Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
Michael E Goddard
13Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia
14Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, Victoria, Australia
Peter M Visscher
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
Jian Zeng
1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
Posted October 14, 2022.
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
Zhili Zheng, Shouye Liu, Julia Sidorenko, Loic Yengo, Patrick Turley, Alireza Ani, Rujia Wang, Ilja M. Nolte, Harold Snieder, Lifelines Cohort Study, Jian Yang, Naomi R Wray, Michael E Goddard, Peter M Visscher, Jian Zeng
bioRxiv 2022.10.12.510418; doi: https://doi.org/10.1101/2022.10.12.510418
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
Zhili Zheng, Shouye Liu, Julia Sidorenko, Loic Yengo, Patrick Turley, Alireza Ani, Rujia Wang, Ilja M. Nolte, Harold Snieder, Lifelines Cohort Study, Jian Yang, Naomi R Wray, Michael E Goddard, Peter M Visscher, Jian Zeng
bioRxiv 2022.10.12.510418; doi: https://doi.org/10.1101/2022.10.12.510418
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