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Identification of genetic variants associated with diabetic kidney disease in multiple Korean cohorts via a genome-wide association study mega-analysis.
Jin, Heejin; Kim, Ye An; Lee, Young; Kwon, Seung-Hyun; Do, Ah Ra; Seo, Sujin; Won, Sungho; Seo, Je Hyun.
Affiliation
  • Jin H; Institute of Health and Environment, Seoul National University, Seoul, Korea.
  • Kim YA; Division of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Korea.
  • Lee Y; Veterans Medical Research Institute, Veterans Health Service Medical Center, Jinhwangdo-ro 61-gil 53, Gangdong-gu, Seoul, Korea.
  • Kwon SH; Veterans Medical Research Institute, Veterans Health Service Medical Center, Jinhwangdo-ro 61-gil 53, Gangdong-gu, Seoul, Korea.
  • Do AR; Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, South Korea.
  • Seo S; Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.
  • Won S; Institute of Health and Environment, Seoul National University, Seoul, Korea.
  • Seo JH; Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.
BMC Med ; 21(1): 16, 2023 01 11.
Article in En | MEDLINE | ID: mdl-36627639
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Full text: 1 Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / Diabetic Nephropathies / Renal Insufficiency, Chronic Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Year: 2023 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / Diabetic Nephropathies / Renal Insufficiency, Chronic Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Year: 2023 Type: Article