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Optimizing and benchmarking polygenic risk scores with GWAS summary statistics

View ORCID ProfileZijie Zhao, Tim Gruenloh, Yixuan Wu, Zhongxuan Sun, View ORCID ProfileJiacheng Miao, Yuchang Wu, Jie Song, View ORCID ProfileQiongshi Lu
doi: https://doi.org/10.1101/2022.10.26.513833
Zijie Zhao
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
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Tim Gruenloh
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
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Yixuan Wu
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
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Zhongxuan Sun
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
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Jiacheng Miao
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
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Yuchang Wu
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
2Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI
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Jie Song
3Department of Statistics, University of Wisconsin-Madison, WI
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Qiongshi Lu
1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
2Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI
3Department of Statistics, University of Wisconsin-Madison, WI
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  • ORCID record for Qiongshi Lu
  • For correspondence: qlu@biostat.wisc.edu
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Article Information

doi 
https://doi.org/10.1101/2022.10.26.513833
History 
  • November 7, 2022.

Article Versions

  • Version 1 (October 27, 2022 - 09:29).
  • 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-NC-ND 4.0 International license.

Author Information

  1. Zijie Zhao1,
  2. Tim Gruenloh1,
  3. Yixuan Wu1,
  4. Zhongxuan Sun1,
  5. Jiacheng Miao1,
  6. Yuchang Wu1,2,
  7. Jie Song3 and
  8. Qiongshi Lu1,2,3,#
  1. 1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WI
  2. 2Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI
  3. 3Department of Statistics, University of Wisconsin-Madison, WI
  1. ↵#To whom correspondence should be addressed: Dr. Qiongshi Lu (qlu{at}biostat.wisc.edu)
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Posted November 07, 2022.
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Optimizing and benchmarking polygenic risk scores with GWAS summary statistics
Zijie Zhao, Tim Gruenloh, Yixuan Wu, Zhongxuan Sun, Jiacheng Miao, Yuchang Wu, Jie Song, Qiongshi Lu
bioRxiv 2022.10.26.513833; doi: https://doi.org/10.1101/2022.10.26.513833
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Optimizing and benchmarking polygenic risk scores with GWAS summary statistics
Zijie Zhao, Tim Gruenloh, Yixuan Wu, Zhongxuan Sun, Jiacheng Miao, Yuchang Wu, Jie Song, Qiongshi Lu
bioRxiv 2022.10.26.513833; doi: https://doi.org/10.1101/2022.10.26.513833

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