Evidence map›Paper›PMID 28406950›Full record

ArticlePloS one2017

Interaction of iron status with single nucleotide polymorphisms on incidence of type 2 diabetes.

Jihye Kim, Mi Kyung Kim, Sukyoung Jung, Ji Eun Lim, Myung-Hee Shin, Yeon-Jung Kim, Bermseok Oh

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
  2. Scientific opinion on the tolerable upper intake level for iron.EFSA journal. European Food Safety Authority · 2024
    Article
  3. Association of theBMJ open diabetes research & care · 2023
    Article
  4. Review
  5. Relationship BetweenPharmacogenomics and personalized medicine · 2021
    Article
  6. Review
  7. 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

7 authors at 4 institutions in 1 country.

Jihye KimDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
Mi Kyung KimDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
Sukyoung JungDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
Ji Eun LimDepartment of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, South Korea.
Myung-Hee ShinSocial and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Yeon-Jung KimDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
Bermseok OhDepartment of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, South Korea.
Hanyang University · KRKyung Hee University · KRKorea National Institute of Health · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to find single nucleotide polymorphisms (SNPs) associated with a risk of Type 2 diabetes (T2D) in Korean adults and to investigate the longitudinal association between these SNPs and T2D and the interaction effects of iron intake and average hemoglobin level. Data from the KoGES_Ansan and Ansung Study were used. Gene-iron interaction analysis was conducted using a two-step approach. To select candidate SNPs associated with T2D, a total of 7,935 adults at baseline were included in genome-wide association analysis (step one). After excluding T2D prevalent cases, prospective analyses were conducted with 7,024 adults aged 40-69 (step two). The association of selected SNPs and iron status with T2D and their interaction were determined using a Cox proportional hazard model. A total of 3 SNPs [rs9465871 (CDKAL1), rs10761745 (JMJD1C), and rs163177 (KCNQ1)] were selected as candidate SNPs related to T2D. Among them, rs10761745 (JMJD1C) and rs163177 (KCNQ1) were prospectively associated with T2D. High iron intake was also prospectively associated with the risk of T2D after adjusting for covariates. Average hemoglobin level was positively associated with T2D after adjusting for covariates in women. We also found significant interaction effects between rs10761745 (JMJD1C) and average hemoglobin levels on the risk of T2D among women with normal inflammation and without anemia at baseline. In conclusion, KCNQ1 and JMJD1C may prospectively contribute to the risk of T2D incidence among adults over the age of 40 and JMJD1C, but CDKAL1 may not, and iron status may interactively contribute to T2D incidence in women.

Indexed as

Polymorphism, Single NucleotideAdultAgedAge FactorsAsian PeopleDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHemoglobinsHumansIncidenceIronJumonji Domain-Containing Histone DemethylasesKCNQ1 Potassium ChannelMaleCDKAL1 protein, humanHemoglobinsIronJMJD1C protein, humanJumonji Domain-Containing Histone DemethylasesKCNQ1 Potassium ChannelKCNQ1 protein, humanOxidoreductases, N-DemethylatingtRNA Methyltransferases

Identifiers

PMID28406950
PMCPMC5391066
OpenAlexW2607146456

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.