Journal of Epidemiology (Nov 2024)

GWAS Meta-analysis of Kidney Function Traits in Japanese Populations

  • 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

DOI
https://doi.org/10.2188/jea.JE20230281
Journal volume & issue
Vol. 34, no. 11
pp. 526 – 534

Abstract

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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.

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