Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank.

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Title: Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank.
Authors: Du J; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Zhou M; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Wang H; Carrboro High School, Carrboro, NC, USA., Wang J; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Raffield LM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Zhou R; Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Li Y; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. yun_li@med.unc.edu.; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. yun_li@med.unc.edu., Chen C; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. canc@unc.edu.; Carolina Health Informatics Program, University of North Carolina, Chapel Hill, NC, USA. canc@unc.edu.; School of Data Science and Society, University of North Carolina, Chapel Hill, NC, USA. canc@unc.edu.; Department of Mathematics, University of North Carolina, Chapel Hill, NC, USA. canc@unc.edu., Sun Q; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. sunq@chop.edu.; Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. sunq@chop.edu.; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA. sunq@chop.edu.
Source: Nature communications [Nat Commun] 2026 May 09; Vol. 17 (1). Date of Electronic Publication: 2026 May 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Du+J%22">Du J</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+M%22">Zhou M</searchLink>; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; Carrboro High School, Carrboro, NC, USA.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Raffield+LM%22">Raffield LM</searchLink>; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+R%22">Zhou R</searchLink>; Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. yun_li@med.unc.edu.; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. yun_li@med.unc.edu.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. canc@unc.edu.; Carolina Health Informatics Program, University of North Carolina, Chapel Hill, NC, USA. canc@unc.edu.; School of Data Science and Society, University of North Carolina, Chapel Hill, NC, USA. canc@unc.edu.; Department of Mathematics, University of North Carolina, Chapel Hill, NC, USA. canc@unc.edu.<br /><searchLink fieldCode="AU" term="%22Sun+Q%22">Sun Q</searchLink>; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. sunq@chop.edu.; Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. sunq@chop.edu.; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA. sunq@chop.edu.
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