GWAS meta-analysis of kidney function traits in Japanese populations-Reference-Cited by-同舟云学术

GWAS meta-analysis of kidney function traits in Japanese populations

Published:2024 Issue: Volume: Page:
ISSN:0917-5040
Container-title:Journal of Epidemiology
language:en
Short-container-title:Journal of Epidemiology

Author:

Hishida Asahi¹^ORCID,Nakatochi Masahiro²^ORCID,Sutoh Yoichi³⁴,Nakano Shiori⁵^ORCID,Momozawa Yukihide⁶,Narita Akira⁷,Tanno Kozo⁸⁹^ORCID,Shimizu Atsushi³⁴,Hozawa Atsushi⁷^ORCID,Kinoshita Kengo⁷,Yamaji Taiki⁵^ORCID,Goto Atsushi¹⁰^ORCID,Noda Mitsuhiko¹¹¹²,Sawada Norie¹³^ORCID,Ikezaki Hiroaki¹⁴¹⁵,Nagayoshi Mako¹,Hara Megumi¹⁶^ORCID,Suzuki Sadao¹⁷^ORCID,Koyama Teruhide¹⁸^ORCID,Koriyama Chihaya¹⁹,Katsuura-Kamano Sakurako²⁰^ORCID,Kadota Aya²¹^ORCID,Kuriki Kiyonori²²,Yamamoto Masayuki⁷,Sasaki Makoto²³²⁴,Iwasaki Motoki⁵¹³^ORCID,Matsuo Keitaro²⁵²⁶^ORCID,Wakai Kenji¹

Affiliation:

1. Department of Preventive Medicine, Nagoya University Graduate School of Medicine

2. Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine

3. Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization

4. Division of Biomedical Information Analysis, Iwate Medical University

5. Division of Epidemiology, National Cancer Center Institute for Cancer Control

6. Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN

7. Tohoku Medical Megabank Organization, Tohoku University

8. Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization

9. Department of Hygiene and Preventive Medicine, Iwate Medical University

10. Department of Public Health, School of Medicine, Yokohama City University

11. Department of Diabetes, Metabolism and Endocrinology, Ichikawa Hospital, International University of Health and Welfare

12. Department of Endocrinology and Diabetes, Saitama Medical University

13. Division of Cohort Research, National Cancer Center Institute for Cancer Control

14. Department of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University

15. Department of General Internal Medicine, Kyushu University Hospital

16. Department of Preventive Medicine, Faculty of Medicine, Saga University

17. Department of Public Health, Nagoya City University Graduate School of Medical Sciences

18. Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine

19. Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences

20. Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences

21. Center for Epidemiologic Research in Asia, Shiga University of Medical Science

22. Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka

23. Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University

24. Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University

25. Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute

26. Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine

Publisher

Japan Epidemiological Association

Link

https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20230281/_pdf

Reference36 articles.

1. 1. M Liu, X-C Li, L Lu, et al. Cardiovascular disease and its relationship with chronic kidney disease. Eur Rev Med Pharmacol Sci. 2014;18:2918-26.

2. 2. Pattaro C, Köttgen A, Teumer A, et al. Genome-wide association and functional follow-up reveals new loci for kidney function. PLoS Genet. 2012;8:e1002584.

3. 3. Okada Y, Sim X, Go MJ, et al. Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations. Nat Genet. 2012;44:904-9.

4. 4. Hishida A, Nakatochi M, Akiyama M, et al. Genome-Wide Association Study of Renal Function Traits: Results from the Japan Multi-Institutional Collaborative Cohort Study. Am J Nephrol. 2018;47:304-16.

5. 5. Wuttke M, Li Y, Li M, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet. 2019;51:957-72.