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Overestimated Polygenic Prediction due to Overlapping Subjects in Genetic Datasets

David Keetae Park, Mingshen Chen, Seungsoo Kim, Yoonjung Yoonie Joo, Rebekah K. Loving, Hyoung Seop Kim, Jiook Cha, Shinjae Yoo, Jong Hun Kim
doi: https://doi.org/10.1101/2022.01.19.476997
David Keetae Park
1Department of Biomedical Engineering, Columbia University, New York, USA
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Mingshen Chen
2Department of Applied Mathematics & Statistics, Stony Brook University, New York, USA
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Seungsoo Kim
3Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
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Yoonjung Yoonie Joo
4Institute of Data Science, Korea University, Seoul, South Korea
5Department of Psychology, Brain and Cognitive Sciences, AI Institute, Seoul National University, Seoul, South Korea
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Rebekah K. Loving
6Department of Biology, California Institute of Technology, Pasadena, USA
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Hyoung Seop Kim
7Department of Physical Medicine and Rehabilitation, Dementia Center, National Health Insurance Service Ilsan Hospital, Goyang, South Korea
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Jiook Cha
5Department of Psychology, Brain and Cognitive Sciences, AI Institute, Seoul National University, Seoul, South Korea
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Shinjae Yoo
8Computational Science Initiative, Brookhaven National Laboratory, New York, USA
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  • For correspondence: jh7521@naver.com sjyoo@bnl.gov
Jong Hun Kim
9Department of Neurology, Dementia Center, National Health Insurance Service Ilsan Hospital, Goyang, South Korea
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  • For correspondence: jh7521@naver.com sjyoo@bnl.gov
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Posted January 22, 2022.
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Overestimated Polygenic Prediction due to Overlapping Subjects in Genetic Datasets
David Keetae Park, Mingshen Chen, Seungsoo Kim, Yoonjung Yoonie Joo, Rebekah K. Loving, Hyoung Seop Kim, Jiook Cha, Shinjae Yoo, Jong Hun Kim
bioRxiv 2022.01.19.476997; doi: https://doi.org/10.1101/2022.01.19.476997
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Overestimated Polygenic Prediction due to Overlapping Subjects in Genetic Datasets
David Keetae Park, Mingshen Chen, Seungsoo Kim, Yoonjung Yoonie Joo, Rebekah K. Loving, Hyoung Seop Kim, Jiook Cha, Shinjae Yoo, Jong Hun Kim
bioRxiv 2022.01.19.476997; doi: https://doi.org/10.1101/2022.01.19.476997

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