CHARACTERISTICS OF GENOME-WIDE ASSOCIATION STUDIES OF KIDNEY-RELATED TRAITS IN EAST ASIANS

 

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https://storage.unitedwebnetwork.com/files/1099/4fc4d16f4e39baf6d47b34a8be258430.pdf
CHARACTERISTICS OF GENOME-WIDE ASSOCIATION STUDIES OF KIDNEY-RELATED TRAITS IN EAST ASIANS

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Yuka
Sugawara
Yuka Sugawara ysuga-tky@m.u-tokyo.ac.jp The University of Tokyo Division of Nephrology and Endocrinology Tokyo Japan *
Yosuke Hirakawa yhirakawa@g.ecc.u-tokyo.ac.jp The University of Tokyo Division of Nephrology and Endocrinology Tokyo Japan -
Akira Narita narita-a@megabank.tohoku.ac.jp Tohoku University Tohoku Medical Megabank Organization Sendai Japan -
Kaoru Ito kaoru.ito@riken.jp RIKEN Center for Integrative Medical Sciences Laboratory for Cardiovascular Genomics and Informatics Yokohama Japan - Chiba University Advanced Biomedical Data Science Chiba Japan
Hajime Nagasu HajimeNagasu@kms-ndh.com Kawasaki Medical School Department of Hypertension and Nephrology Kurashiki Japan -
Seizo Koshiba koshiba@megabank.tohoku.ac.jp Tohoku University Tohoku Medical Megabank Organization Sendai Japan -
Shinichi Namba snamba@m.u-tokyo.ac.jp The University of Tokyo Department of Genome Informatics Tokyo Japan - Osaka University Department of Statistical Genetics Osaka Japan RIKEN Center for Integrative Medical Sciences Laboratory for Systems Genetics Yokohama Japan
Canqing Yu yucanqing@pku.edu.cn Peking University School of Public Health, Department of Epidemiology & Biostatistics Beijing China - Peking University Center for Public Health and Epidemic Preparedness & Response - Beijing China Ministry of Education Key Laboratory of Epidemiology of Major Diseases (Peking University) Beijing China
Yoichi Sutoh ysutoh@iwate-med.ac.jp Iwate Medical University Disaster Reconstruction Center, Iwate Tohoku Medical Megabank Organization, Division of Biomedical Information Analysis Yahaba Japan - Iwate Medical University Institute for Biomedical Sciences, Division of Biomedical Information Analysis Yahaba Japan
Keitaro Matsuo kmatsuo@aichi-cc.jp Aichi Cancer Center Division of Cancer Epidemiology and Prevention Nagoya Japan -
Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD) investigators - ninomiya.toshiharu.734@m.kyushu-u.ac.jp - - - Japan -
Kook-Hwan Oh khoh@snu.ac.kr Seoul National University College of Medicine Department of Internal Medicine Seoul Korea (Republic of) -
Naoki Kashihara kashinao@med.kawasaki-m.ac.jp Kawasaki Medical School Kawasaki Geriatric Medical Center Kurashiki Japan -
Masaomi Nangaku mnangaku@m.u-tokyo.ac.jp The University of Tokyo Division of Nephrology and Endocrinology Tokyo Japan -
J-Kidney-Biobank investigators - HajimeNagasu@kms-ndh.com - - - Japan -

Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of adults worldwide and showing high prevalence in East Asia. However, the genetic architecture of CKD and related traits in East Asians has been less explored compared with Europeans. Because genetic associations can be ancestry-specific, studies in non-European populations are crucial for understanding disease biology and ensuring equitable application of genomic discoveries. We therefore investigated kidney-related traits in East Asians through large-scale genome-wide association study (GWAS) meta-analyses and further integrated the results with European data in a trans-ancestry meta-analysis.

We analyzed GWAS summary statistics for three traits: CKD (binary trait), estimated glomerular filtration rate (eGFR, continuous trait) calculated from serum creatinine level, and urinary albumin-to-creatinine ratio (UACR, continuous trait). Data came from eight East Asian cohorts: J-Kidney-Biobank (supported by Japanese Society of Nephrology), Tohoku Medical Megabank Organization, Biobank Japan, Iwate Tohoku Medical Megabank Organization, Japan Multi-Institutional Collaborative Cohort Study, Japan Prospective Studies Collaboration for Aging and Dementia (Japan), China Kadoorie Biobank (China), and KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (South Korea). Trait-specific meta-analyses were performed, and results were combined with European summary statistics (CKD: 625,219 individuals; eGFR: 1,464,866; albuminuria: 382,500), creating the largest international meta-GWAS of kidney traits to date.

Sample sizes in East Asians were: CKD, 340,993 individuals including 75,401 cases; eGFR, 240,401; and UACR, 50,984. Genome-wide significant loci were identified as follows: CKD, 1 novel/8 total; eGFR, 2 novel/80 total; UACR, 4 novel/8 total. One locus (BCAS3) was shared between CKD and eGFR, and another (WIPF3) between eGFR and albuminuria, while no loci were shared between CKD and UACR. In the trans-ancestry meta-analysis with Europeans, the numbers of novel and total loci were: CKD, 1/7; eGFR, 27/547; and albuminuria, 4/24.

This study is the largest meta-GWAS of kidney-related traits in East Asians, and the combined international analysis is the largest globally. Several novel loci unique to East Asians, absent even in European analyses of more than one million individuals, indicate ancestry-specific determinants of CKD and related traits. These results provide new biological insights, highlight the importance of diverse populations in genetic research, and may guide precision medicine strategies across ancestries. Acknowledgement:This work was supported by the Japan Agency for Medical Research and Development (AMED, 25tm0424230h0002). We express our sincere gratitude to the participants and the research teams of the collaborating cohorts, whose commitment made this study possible. The following institutions contributed to the establishment of J-Kidney-Biobank: Kawasaki Medical School, the Jikei University, Kanazawa University, Kyoto University, Kyushu University, Nagoya University, Nara Medical University, Niigata University, Okayama University, Saitama Medical University, Tohoku Medical Megabank Organization, the University of Tokyo, Yokohama City University.

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