Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank.
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| Title: | Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank. |
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| Authors: | Zeosky M; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Kun E; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Reddy S; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Pandey D; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Xu L; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Wang JY; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Li C; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA., Gray RS; Department of Pediatrics, Dell Children's Medical Center of Central Texas, Austin, TX, USA.; Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA., Wise CA; Department of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Center for Musculoskeletal Research, Texas Scottish Rite Hospital for Children, Dallas, TX, USA., Otomo N; Department of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Center for Musculoskeletal Research, Texas Scottish Rite Hospital for Children, Dallas, TX, USA., Narasimhan VM; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA. vagheesh@utexas.edu.; Department of Statistics and Data Science, The University of Texas at Austin, Austin, TX, USA. vagheesh@utexas.edu. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2026 Mar 26; Vol. 9 (1). Date of Electronic Publication: 2026 Mar 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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