Evidence map›Paper›PMID 25349825›Full record

ArticleDiabetes & metabolism journal2014

Genome-wide association study identifies two novel Loci with sex-specific effects for type 2 diabetes mellitus and glycemic traits in a korean population.

Min Jin Go, Joo-Yeon Hwang, Tae-Joon Park, Young Jin Kim, Ji Hee Oh, Yeon-Jung Kim, Bok-Ghee Han, Bong-Jo Kim

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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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 1 institution in 1 country.

Min Jin GoDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Joo-Yeon HwangDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Tae-Joon ParkDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Young Jin KimDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Ji Hee OhDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Yeon-Jung KimDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Bok-Ghee HanDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Bong-Jo KimDivision of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Cheongwon, Korea.
Korea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUntil recently, genome-wide association study (GWAS)-based findings have provided a substantial genetic contribution to type 2 diabetes mellitus (T2DM) or related glycemic traits. However, identification of allelic heterogeneity and population-specific genetic variants under consideration of potential confounding factors will be very valuable for clinical applicability. To identify novel susceptibility loci for T2DM and glycemic traits, we performed a two-stage genetic association study in a Korean population.

methodsWe performed a logistic analysis for T2DM, and the first discovery GWAS was analyzed for 1,042 cases and 2,943 controls recruited from a population-based cohort (KARE, n=8,842). The second stage, de novo replication analysis, was performed in 1,216 cases and 1,352 controls selected from an independent population-based cohort (Health 2, n=8,500). A multiple linear regression analysis for glycemic traits was further performed in a total of 14,232 nondiabetic individuals consisting of 7,696 GWAS and 6,536 replication study participants. A meta-analysis was performed on the combined results using effect size and standard errors estimated for stage 1 and 2, respectively.

resultsA combined meta-analysis for T2DM identified two new (rs11065756 and rs2074356) loci reaching genome-wide significance in CCDC63 and C12orf51 on the 12q24 region. In addition, these variants were significantly associated with fasting plasma glucose and homeostasis model assessment of β-cell function. Interestingly, two independent single nucleotide polymorphisms were associated with sex-specific stratification in this study.

conclusionOur study showed a strong association between T2DM and glycemic traits. We further observed that two novel loci with multiple diverse effects were highly specific to males. Taken together, these findings may provide additional insights into the clinical assessment or subclassification of disease risk in a Korean population.

Indexed as

Genome-wide association studyGlycemic traitSex-specificType 2 diabetes

Identifiers

PMID25349825
PMCPMC4209352
OpenAlexW2133904402

What OpenQuestion holds

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LicenceCC BY-NC
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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.