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GWAS Meta-analysis of Kidney Function Traits in Japanese Populations

Authors :
Asahi Hishida
Masahiro Nakatochi
Yoichi Sutoh
Shiori Nakano
Yukihide Momozawa
Akira Narita
Kozo Tanno
Atsushi Shimizu
Atsushi Hozawa
Kengo Kinoshita
Taiki Yamaji
Atsushi Goto
Mitsuhiko Noda
Norie Sawada
Hiroaki Ikezaki
Mako Nagayoshi
Megumi Hara
Sadao Suzuki
Teruhide Koyama
Chihaya Koriyama
Sakurako Katsuura-Kamano
Aya Kadota
Kiyonori Kuriki
Masayuki Yamamoto
Makoto Sasaki
Motoki Iwasaki
Keitaro Matsuo
Kenji Wakai
Source :
Journal of Epidemiology, Vol 34, Iss 11, Pp 526-534 (2024)
Publication Year :
2024
Publisher :
Japan Epidemiological Association, 2024.

Abstract

Background: Genetic epidemiological evidence for the kidney function traits in East Asian populations, including Japanese, remain still relatively unclarified. Especially, the number of genome-wide association studies (GWASs) for kidney traits reported still remains limited, and the sample size of each independent study is relatively small. Given the genetic variability between ancestries/ethnicities, implementation of GWAS with sufficiently large sample sizes in specific population of Japanese is considered meaningful. Methods: We conducted the GWAS meta-analyses of kidney traits by leveraging the GWAS summary data of the representative large genome cohort studies with about 200,000 Japanese participants (n = 202,406 for estimated glomerular filtration rate [eGFR] and n = 200,845 for serum creatinine [SCr]). Results: In the present GWAS meta-analysis, we identified 110 loci with 169 variants significantly associated with eGFR (on chromosomes 1–13 and 15–22; P < 5 × 10−8), whereas we also identified 112 loci with 176 variants significantly associated with SCr (on chromosomes 1–22; P < 5 × 10−8), of which one locus (more than 1 Mb distant from known loci) with one variant (CD36 rs146148222 on chromosome 7) for SCr was considered as the truly novel finding. Conclusion: The present GWAS meta-analysis of the largest genome cohort studies in Japanese subjects provided some original genomic loci associated with kidney function, which may contribute to the possible development of personalized prevention of kidney diseases based on genomic information in the near future.

Details

Language :
English
ISSN :
09175040, 13499092, and 20230281
Volume :
34
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
edsdoj.0134ac384c9437f89f11e61fd2124fb
Document Type :
article
Full Text :
https://doi.org/10.2188/jea.JE20230281