Evidence map›Paper›PMID 29930802›Full record

ArticleBiomedical reports2018

Identification of four genes as novel susceptibility loci for early-onset type 2 diabetes mellitus, metabolic syndrome, or hyperuricemia.

Yoshiji Yamada, Kimihiko Kato, Mitsutoshi Oguri, Hideki Horibe, Tetsuo Fujimaki, Yoshiki Yasukochi, Ichiro Takeuchi, Jun Sakuma

Open access · diamondAbstract read
In one paragraph

Article in Biomedical reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Frontiers in endocrinology · 2026
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  4. Article
  5. Cohort profile update: Tehran cardiometabolic genetic study.European journal of epidemiology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Rapid Gout Detection Method and Kit.Diagnostics (Basel, Switzerland) · 2019
    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

8 authors at 3 institutions in 1 country.

Yoshiji YamadaDepartment of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.
Kimihiko KatoDepartment of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.
Mitsutoshi OguriDepartment of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.
Hideki HoribeDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507-8522, Japan.
Tetsuo FujimakiDepartment of Cardiovascular Medicine, Northern Mie Medical Center Inabe General Hospital, Inabe, Mie 511-0428, Japan.
Yoshiki YasukochiDepartment of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514-8507, Japan.
Ichiro TakeuchiCREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan.
Jun SakumaCREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan.
Mie University · JPJapan Science and Technology Agency · JPGifu Prefectural Tajimi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given that early-onset type 2 diabetes mellitus (T2DM), metabolic syndrome (MetS), and hyperuricemia have been shown to have strong genetic components, the statistical power of a genetic association study may be increased by focusing on early-onset subjects with these conditions. Although genome-wide association studies have identified various genes and loci significantly associated with T2DM, MetS, and hyperuricemia, genetic variants that contribute to predisposition to these conditions in Japanese subjects remain to be identified definitively. We performed exome-wide association studies (EWASs) for early-onset T2DM, MetS, or hyperuricemia to identify genetic variants that confer susceptibility to these conditions. A total of 8,102 individuals aged ≤65 years were enrolled in the present study. The EWAS for T2DM was performed with 7,407 subjects (1,696 cases, 5,711 controls), that for MetS with 4,215 subjects (2,296 cases, 1,919 controls), and that for hyperuricemia with 7,919 subjects (1,365 cases, 6,554 controls). Single nucleotide polymorphisms (SNPs) were genotyped with Illumina Human Exome-12 DNA Analysis BeadChip or Infinium Exome-24 BeadChip arrays. The relationship of allele frequencies for 31,210, 31,521, or 31,142 SNPs that passed quality control for T2DM, MetS, or hyperuricemia, respectively, was examined with Fisher's exact test. To compensate for multiple comparisons of genotypes with T2DM, MetS, or hyperuricemia, we applied Bonferroni's correction for statistical significance of association. The EWAS of allele frequencies revealed that four, six, or nine SNPs were significantly associated with T2DM (P<1.60×10

Indexed as

diabetes mellitusexome-wide association studygeneticshyperuricemiametabolic syndrome

Identifiers

PMID29930802
PMCPMC6006760
OpenAlexW2805762937

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.