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Empowering rare variant burden-based gene-trait association studies via optimized computational predictor choice

View ORCID ProfileDa Kuang, Roujia Li, View ORCID ProfileYingzhou Wu, View ORCID ProfileJochen Weile, View ORCID ProfileRobert A. Hegele, View ORCID ProfileFrederick P. Roth
doi: https://doi.org/10.1101/2021.09.20.459182
Da Kuang
1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
3Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
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  • ORCID record for Da Kuang
Roujia Li
1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
3Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
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Yingzhou Wu
1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
3Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
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Jochen Weile
1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
3Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
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Robert A. Hegele
5Departments of Medicine and Biochemistry, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 5B7 Canada
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Frederick P. Roth
1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
3Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
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  • ORCID record for Frederick P. Roth
  • For correspondence: fritz.roth@utoronto.ca
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Article Information

doi 
https://doi.org/10.1101/2021.09.20.459182
History 
  • September 22, 2022.

Article Versions

  • Version 1 (September 20, 2021 - 13:32).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Da Kuang1,2,3,4,
  2. Roujia Li1,2,3,4,
  3. Yingzhou Wu1,2,3,4,
  4. Jochen Weile1,2,3,4,
  5. Robert A. Hegele5 and
  6. Frederick P. Roth1,2,3,4,*
  1. 1Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
  2. 2Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
  3. 3Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
  4. 4Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
  5. 5Departments of Medicine and Biochemistry, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 5B7 Canada
  1. ↵*Correspondence: fritz.roth{at}utoronto.ca
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Posted September 22, 2022.
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Empowering rare variant burden-based gene-trait association studies via optimized computational predictor choice
Da Kuang, Roujia Li, Yingzhou Wu, Jochen Weile, Robert A. Hegele, Frederick P. Roth
bioRxiv 2021.09.20.459182; doi: https://doi.org/10.1101/2021.09.20.459182
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Empowering rare variant burden-based gene-trait association studies via optimized computational predictor choice
Da Kuang, Roujia Li, Yingzhou Wu, Jochen Weile, Robert A. Hegele, Frederick P. Roth
bioRxiv 2021.09.20.459182; doi: https://doi.org/10.1101/2021.09.20.459182

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