Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes.
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| Title: | Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes. |
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| Authors: | Barnett EJ; Department of Psychiatry and Behavioral Sciences and Department of Neuroscience and Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA., Zhang-James Y; Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA., Hess JL; Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA., Glatt SJ; Department of Psychiatry and Behavioral Sciences and Department of Neuroscience and Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.; Department of Public Health and Preventive Medicine, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA., Faraone SV; Department of Psychiatry and Behavioral Sciences and Department of Neuroscience and Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA. svfaraone@upstate.edu. |
| Source: | Communications medicine [Commun Med (Lond)] 2025 Nov 18; Vol. 5 (1), pp. 479. Date of Electronic Publication: 2025 Nov 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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