Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease

Author:

Zheng Jie1ORCID,Zhang Yuemiao2,Rasheed Humaira13,Walker Venexia14ORCID,Sugawara Yuka5,Li Jiachen6,Leng Yue7,Elsworth Benjamin1ORCID,Wootton Robyn E1ORCID,Fang Si1,Yang Qian1ORCID,Burgess Stephen89,Haycock Philip C1,Borges Maria Carolina1,Cho Yoonsu1,Carnegie Rebecca1,Howell Amy1,Robinson Jamie1,Thomas Laurent F310,Brumpton Ben Michael1311,Hveem Kristian3,Hallan Stein1012,Franceschini Nora13,Morris Andrew P14,Köttgen Anna15,Pattaro Cristian16,Wuttke Matthias15,Yamamoto Masayuki17,Kashihara Naoki18,Akiyama Masato1920,Kanai Masahiro2122,Matsuda Koichi23,Kamatani Yoichiro1924,Okada Yukinori222526,Walters Robin27,Millwood Iona Y27,Chen Zhengming27,Davey Smith George128ORCID,Barbour Sean2930,Yu Canqing6,Åsvold Bjørn Olav331,Zhang Hong2,Gaunt Tom R128

Affiliation:

1. MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK

2. Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, P. R. China

3. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway

4. Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA

5. Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan

6. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, P. R. China

7. Department of Psychiatry, University of California, San Francisco, CA, USA

8. MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, UK

9. Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK

10. Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway

11. Department of Thoracic Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

12. Department of Nephrology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

13. Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA

14. Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK

15. Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center–University of Freiburg, Freiburg, Germany

16. Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy

17. Tohoku Medical Megabank Organization and Tohoku University Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan

18. Department of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, Okayama, Japan

19. Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

20. Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

21. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA

22. Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan

23. Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, the University of Tokyo, Tokyo, Japan

24. Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo, Tokyo, Japan

25. Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan

26. Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan

27. Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK

28. NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, UK

29. Division of Nephrology, University of British Columbia, Vancouver, British Columbia, Canada

30. British Columbia Provincial Renal Agency, Vancouver, British Columbia, Canada

31. Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

Abstract

Abstract Background This study was to systematically test whether previously reported risk factors for chronic kidney disease (CKD) are causally related to CKD in European and East Asian ancestries using Mendelian randomization. Methods A total of 45 risk factors with genetic data in European ancestry and 17 risk factors in East Asian participants were identified as exposures from PubMed. We defined the CKD by clinical diagnosis or by estimated glomerular filtration rate of <60 ml/min/1.73 m2. Ultimately, 51 672 CKD cases and 958 102 controls of European ancestry from CKDGen, UK Biobank and HUNT, and 13 093 CKD cases and 238 118 controls of East Asian ancestry from Biobank Japan, China Kadoorie Biobank and Japan-Kidney-Biobank/ToMMo were included. Results Eight risk factors showed reliable evidence of causal effects on CKD in Europeans, including genetically predicted body mass index (BMI), hypertension, systolic blood pressure, high-density lipoprotein cholesterol, apolipoprotein A-I, lipoprotein(a), type 2 diabetes (T2D) and nephrolithiasis. In East Asians, BMI, T2D and nephrolithiasis showed evidence of causality on CKD. In two independent replication analyses, we observed that increased hypertension risk showed reliable evidence of a causal effect on increasing CKD risk in Europeans but in contrast showed a null effect in East Asians. Although liability to T2D showed consistent effects on CKD, the effects of glycaemic phenotypes on CKD were weak. Non-linear Mendelian randomization indicated a threshold relationship between genetically predicted BMI and CKD, with increased risk at BMI of >25 kg/m2. Conclusions Eight cardiometabolic risk factors showed causal effects on CKD in Europeans and three of them showed causality in East Asians, providing insights into the design of future interventions to reduce the burden of CKD.

Funder

UK Biobank resource under Application

Vice-Chancellor Fellowship from the University of Bristol

UK Medical Research Council Integrative Epidemiology Unit

Academy of Medical Sciences (AMS) Springboard Award

Wellcome Trust

Government Department of Business

Energy and Industrial Strategy

British Heart Foundation and Diabetes UK

NIHR Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol

UK Medical Research Council

BBSRC Innovation fellowship

Shanghai Thousand Talents Program

National Natural Science Foundation of China

Training Program of the Major Research Plan of the National Natural Science Foundation of China

Science and Technology Project of Beijing, China

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3