Evidence map›Paper›PMID 25073516›Full record

SynthesisMolecular genetics and genomics : MGG2014

Meta-analysis of genome-wide association study of homeostasis model assessment β cell function and insulin resistance in an East Asian population and the European results.

Kyung-Won Hong, Myunggen Chung, Seong Beom Cho

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular genetics and genomics : MGG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Genetic, Functional, and Immunological Study of ZnT8 in Diabetes.International journal of endocrinology · 2019
    Review
  13. Review
  14. Article
  15. Microsatellite and Single Nucleotide Polymorphisms in the Insulin-Like Growth Factor 1 Promoter with Insulin Sensitivity and Insulin Secretion.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  16. Review
  17. Article
  18. 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

3 authors at 1 institution in 1 country.

Kyung-Won HongDivision of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC, #187 Osongsaengmyeong2-ro, Cheongwon-gun, Choongchung-Buk-do, 363-951, Korea.
Myunggen Chung
Seong Beom Cho
Korea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared with Western populations, Asians develop diabetes at younger ages, at lower degrees of obesity. Because diabetes and the related traits are influenced by the interplay between genetic and environmental factors, it is important to understand the genetic differences between Asian and Western populations. Recently, a large-scale meta-analysis of genome-wide association studies for beta cell function and insulin resistance in the European ancestry was reported by the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC). The MAGIC study reported 17 SNPs for homeostasis model assessments (HOMA-%B: beta cell function and HOMA-IR: insulin resistance). In this study, we tried to replicate the effects of reported SNPs by MAGIC study, which were influencing HOMAs in two Korean populations. HOMA-IR and HOMA-B were computed using two HOMA models (HOMA1 and HOMA2). The HOMA2 model has recently been updated with physiological adjustments into a computer version, providing a more accurate index. Dupuis et al. (Nat Genet 42: 105-116, 2010). In this study, we examined the reported SNPs in two Korean community-based cohorts (Ansung and Ansan). The Korean genotypes and glucose and insulin traits for 5,974 non-diabetic subjects were obtained from a previous genome-wide association study. Although we expected the HOMA2 to be suitable to replicate the results of different ethnics, our results revealed that the HOMA1 was more significantly replicated. As a result, 5 SNPs (rs10830963 in MTNR1B, rs4607517 in GCK, rs2191349 in DGKB/TMEM195, rs174550 in FADS1, rs7034200 in GLIS3) were significantly replicated with HOMA-%B, but no SNP was replicated with HOMA-IR. Two SNPs (rs560887 in G6PC, rs13266634 in SLC30A8) and one SNP (rs35767 in IGF1) showed the weak association p values (unadjusted p values lower than 0.05) for HOMA-%B and HOMA-IR, respectively. The replicated SNPs and the weakly associated SNPs were also significantly associated with the fasting glucose levels. They revealed the same direction of the effect sizes in both studies, but the effect sizes were stronger in Koreans than in MAGIC. Conclusively, our results indicated that SNPs from MTNR1B, GCK, DGKB, FADS1, and GLIS3 were consistently associated with HOMA-%B in both Korean and MAGIC populations.

Indexed as

Polymorphism, Single NucleotideAdultBlood GlucoseDelta-5 Fatty Acid DesaturaseEuropeFemaleGenome-Wide Association StudyHomeostasisHumansInsulinInsulin ResistanceInsulin-Secreting CellsMaleMiddle AgedModels, BiologicalRepublic of KoreaBlood GlucoseDelta-5 Fatty Acid DesaturaseFADS1 protein, humanInsulin

Identifiers

PMID25073516
OpenAlexW1964350723

What OpenQuestion holds

Textmetadata
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.