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
Database: MEDLINE Ultimate
Description
ISSN:2041-1723
DOI:10.1038/s41467-026-73017-z