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Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes.

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Title: Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes.
Authors: Lee GJ; Division of Medical Oncology, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Jung SH; Department of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.; Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea., Lee J; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Moon KW; Department of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.; Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea.; Division of Rheumatology, Department of Internal Medicine, Kangwon National University College of Medicine, Chuncheon, Republic of Korea., Yun JS; Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Kim D; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Corporate Authors: Penn Medicine Biobank; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Source: Diabetes, obesity & metabolism [Diabetes Obes Metab] 2026 Jun; Vol. 28 (6), pp. 4991-5000. Date of Electronic Publication: 2026 Mar 26.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 100883645 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1463-1326 (Electronic) Linking ISSN: 14628902 NLM ISO Abbreviation: Diabetes Obes Metab Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes.
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  Data: <searchLink fieldCode="AU" term="%22Lee+GJ%22">Lee GJ</searchLink>; Division of Medical Oncology, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Jung+SH%22">Jung SH</searchLink>; Department of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.; Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+J%22">Lee J</searchLink>; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Moon+KW%22">Moon KW</searchLink>; Department of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.; Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea.; Division of Rheumatology, Department of Internal Medicine, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yun+JS%22">Yun JS</searchLink>; Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+D%22">Kim D</searchLink>; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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  Data: <searchLink fieldCode="JN" term="%22100883645%22">Diabetes, obesity & metabolism</searchLink> [Diabetes Obes Metab] 2026 Jun; Vol. 28 (6), pp. 4991-5000. <i>Date of Electronic Publication: </i>2026 Mar 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100883645 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1463-1326 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214628902%22">14628902 </searchLink><i>NLM ISO Abbreviation: </i>Diabetes Obes Metab <i>Subsets: </i>MEDLINE
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        Value: 10.1111/dom.70690
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      – Code: eng
        Text: English
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        StartPage: 4991
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      – TitleFull: Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes.
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            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
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              Value: 28
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              Value: 6
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            – TitleFull: Diabetes, obesity & metabolism
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