JointPRS: A Data-Adaptive Framework for Multi-Population Genetic Risk Prediction Incorporating Genetic Correlation

Leqi Xu; Geyu Zhou; Wei Jiang; Haoyu Zhang; Yikai Dong; Leying Guan; Hongyu Zhao

doi:10.1101/2023.10.29.564615

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JointPRS: A Data-Adaptive Framework for Multi-Population Genetic Risk Prediction Incorporating Genetic Correlation

View ORCID ProfileLeqi Xu, View ORCID ProfileGeyu Zhou, View ORCID ProfileWei Jiang, View ORCID ProfileHaoyu Zhang, Yikai Dong, View ORCID ProfileLeying Guan, View ORCID ProfileHongyu Zhao

doi: https://doi.org/10.1101/2023.10.29.564615

Leqi Xu

1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

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Geyu Zhou

1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

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Wei Jiang

1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

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Haoyu Zhang

2Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA

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Yikai Dong

1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

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Leying Guan

1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

3Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

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For correspondence: [email protected] [email protected]

Hongyu Zhao

1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA

3Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

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For correspondence: [email protected] [email protected]

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Posted September 12, 2024.

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JointPRS: A Data-Adaptive Framework for Multi-Population Genetic Risk Prediction Incorporating Genetic Correlation

Leqi Xu, Geyu Zhou, Wei Jiang, Haoyu Zhang, Yikai Dong, Leying Guan, Hongyu Zhao

bioRxiv 2023.10.29.564615; doi: https://doi.org/10.1101/2023.10.29.564615

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JointPRS: A Data-Adaptive Framework for Multi-Population Genetic Risk Prediction Incorporating Genetic Correlation

Leqi Xu, Geyu Zhou, Wei Jiang, Haoyu Zhang, Yikai Dong, Leying Guan, Hongyu Zhao

bioRxiv 2023.10.29.564615; doi: https://doi.org/10.1101/2023.10.29.564615

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