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Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores.

Autor: Jo J; Department of Public Health Sciences, Graduate school of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea., Ha N; Department of Public Health Sciences, Graduate school of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea., Ji Y; Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea., Do A; Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea., Seo JH; Veterans Health Service Medical Center, Veterans Medical Research Institute, 53, Jinhwangdo-ro 61-gil, Gangdong-gu, Seoul, 05368, South Korea., Oh B; Department of Family Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, 20, Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, South Korea., Choi S; Department of Applied Mathematics, Hanyang University (ERICA), 55, Hanyang-deahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, South Korea., Choe EK; Division of Colorectal Surgery, Department of Surgery, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.; Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, 39FL, 152, Teheran-ro, Gangnam-gu, Seoul, 06236, South Korea., Lee W; Department of Public Health Sciences, Graduate school of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.; Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea., Son JW; Division of Endocrinology, Department of Internal Medicine, Bucheon St. Mary's hospital, The Catholic University of Korea, 327, Sosa-ro, Bucheon-si, Gyeonggi-do, Bucheon, 14647, South Korea., Won S; Department of Public Health Sciences, Graduate school of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.; Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.; Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.; RexSoft Corps, Seoul National University Administration Building, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.

Publikováno v: Briefings in bioinformatics [Brief Bioinform] 2024 Jul 25; Vol. 25 (5).

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders.

Autor: Leiby JS; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 19104, Philadelphia, PA, USA., Lee ME; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 19104, Philadelphia, PA, USA., Shivakumar M; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 19104, Philadelphia, PA, USA., Choe EK; Department of Surgery, Seoul National University Hospital Healthcare System Gangnam Center, 06236, Seoul, South Korea. snuhcr@naver.com., Kim D; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 19104, Philadelphia, PA, USA. dokyoon.kim@pennmedicine.upenn.edu.; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, 19104, Philadelphia, PA, USA. dokyoon.kim@pennmedicine.upenn.edu.

Publikováno v: Journal of translational medicine [J Transl Med] 2024 May 08; Vol. 22 (1), pp. 434. Date of Electronic Publication: 2024 May 08.