A genome-wide association study identifies genetic determinants of hemoglobin glycation index with implications across sex and ethnicity.
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| Title: | A genome-wide association study identifies genetic determinants of hemoglobin glycation index with implications across sex and ethnicity. |
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| Authors: | House JS; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States., Breeyear JH; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States., Akhtari FS; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States., Evans V; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States., Buse JB; Division of Endocrinology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States., Hempe J; Department of Pediatrics, Louisiana State University School of Medicine, New Orleans, LA, United States., Doria A; Section on Genetics and Epidemiology, Joslin Diabetes Center and Department of Medicine, Harvard Medical School, Boston, MA, United States., Mychaleckyi JC; Center of Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, United States., Fonseca V; Section of Endocrinology, School of Medicine, Tulane University, New Orleans, LA, United States., Shi M; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States., Li C; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States., Liu S; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States., Kelly TN; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.; Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.; Tulane University Translational Science Institute, New Orleans, LA, United States., Rotroff D; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH, United States.; Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, United States., Motsinger-Reif AA; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, United States. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2024 Oct 28; Vol. 15, pp. 1473329. Date of Electronic Publication: 2024 Oct 28 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2024.1473329 |
