Evidence map›Paper›PMID 38583947›Full record

SynthesisJournal of epidemiology2024

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 and 18 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Asahi HishidaDepartment of Public Health, Aichi Medical University School of Medicine.ORCID 0000-0002-4867-0201
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine.ORCID 0000-0002-1838-4837
Yoichi SutohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization.
Shiori NakanoDivision of Epidemiology, National Cancer Center Institute for Cancer Control.ORCID 0000-0001-5762-850X
Yukihide MomozawaLaboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN.
Akira NaritaTohoku Medical Megabank Organization, Tohoku University.
Kozo TannoDivision of Clinical Research and Epidemiology, Iwate Medical University.ORCID 0000-0002-1264-0684
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization.
Atsushi HozawaTohoku Medical Megabank Organization, Tohoku University.ORCID 0000-0002-8031-8523
Kengo KinoshitaTohoku Medical Megabank Organization, Tohoku University.
Taiki YamajiDivision of Epidemiology, National Cancer Center Institute for Cancer Control.ORCID 0000-0002-4799-8782
Atsushi GotoDepartment of Public Health, School of Medicine, Yokohama City University.ORCID 0000-0003-0669-654X
Mitsuhiko NodaDepartment of Diabetes, Metabolism and Endocrinology, Ichikawa Hospital, International University of Health and Welfare.
Norie SawadaDivision of Cohort Research, National Cancer Center Institute for Cancer Control.ORCID 0000-0002-9936-1476
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University, Kyushu University Hospital.
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine.
Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University.ORCID 0000-0002-8708-3237
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences.ORCID 0000-0001-5988-4849
Teruhide KoyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine.ORCID 0000-0002-8161-368X
Chihaya KoriyamaDepartment of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences.
Sakurako Katsuura-KamanoDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences.ORCID 0000-0002-9582-674X
Aya KadotaCenter for Epidemiologic Research in Asia, Shiga University of Medical Science.ORCID 0000-0001-7378-0544
Kiyonori KurikiLaboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka.
Masayuki YamamotoTohoku Medical Megabank Organization, Tohoku University.
Makoto SasakiIwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University.
Motoki IwasakiDivision of Epidemiology, National Cancer Center Institute for Cancer Control.ORCID 0000-0003-3319-4131
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute.ORCID 0000-0003-1761-6314
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic 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.

methodsWe 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]).

resultsIn 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

conclusionThe 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.

Indexed as

Genome-Wide Association StudyGlomerular Filtration RateCreatinineEast Asian PeopleHumansJapanKidneyCreatininechronic kidney diseasecluster of differentiation 36estimated glomerular filtration rategenome-wide association studyserum creatinine

Identifiers

PMID38583947
PMCPMC11464852

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.