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GWAS Meta-analysis of Kidney Function Traits in Japanese Populations
- Source :
- Journal of Epidemiology, Vol 34, Iss 11, Pp 526-534 (2024)
- Publication Year :
- 2024
- Publisher :
- Japan Epidemiological Association, 2024.
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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