Evidence map›Paper›PMID 28190082›Full record

ArticleMolecular genetics and genomics : MGG2017

Association of recently identified type 2 diabetes gene variants with Gestational Diabetes in Asian Indian population.

Sekar Kanthimathi, Manickam Chidambaram, Dhanasekaran Bodhini, Samuel Liju, Aruyerchelvan Bhavatharini, Ram Uma, Ranjit Mohan Anjana, Viswanathan Mohan, Venkatesan Radha

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Genetic Variants ofGenes · 2023
    Article
  7. Article
  8. Genes · 2022
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  9. Article
  10. Biomedicines · 2022
    Article
  11. Journal of personalized medicine · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Transcription Factor RREB1: from Target Genes towards Biological Functions.International journal of biological sciences · 2020
    Review
  17. Review
  18. Review
  19. Article
  20. 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

9 authors at 5 institutions in 2 countries.

Sekar KanthimathiMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India.
Manickam ChidambaramMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India.
Dhanasekaran BodhiniMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India.
Samuel LijuMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India.
Aruyerchelvan BhavathariniSRC Diabetes Care Centre, Erode, India.
Ram UmaSeethapathy Clinic and Hospital, Chennai, India.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India.
Viswanathan MohanMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India.
Venkatesan RadhaMadras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, India. radharv@yahoo.co.in.
Madras Diabetes Research Foundation · INDiabetes Care and Research Foundation · INDr. Mohan's Diabetes Specialities Centre · INSeethapathy Clinic and Hospital · INSidra Medical and Research Center · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earlier studies have provided evidence that the gestational diabetes mellitus (GDM) and Type 2 diabetes mellitus (T2DM) share common genetic background. A recent genome wide association study (GWAS) showed a strong association of six novel gene variants with T2DM among south Asians but not with Europeans. The aim of this study was to investigate whether these variants that confer susceptibility to T2DM in Asian Indian population also correlate with GDM in Asian Indian population. In addition to these novel variants, three T2DM associated SNPs that were previously identified by GWAS in Caucasian populations, which also showed association with T2DM in south Indian population in our previous study were also evaluated for their susceptibility to GDM in our population. The study groups comprised unrelated pregnant women with GDM (n = 518) and pregnant women with normal glucose tolerance (NGT) (n = 1220). A total of nine SNPs in or near nine loci, namely AP3S2 (rs2028299), BAZ1B (rs12056034), CDKN2A/B (rs7020996), GRB14 (rs3923113), HHEX (rs7923837), HMG20A (rs7178572), HNF4A (rs4812829), ST6GAL1 (rs16861329) and VPS26A (rs1802295) were genotyped using the MassARRAY system. Among these nine SNPs that previously showed an association with T2DM in Asian Indians, HMG20A (rs7178572) and HNF4A (rs4812829) gene variants showed a significant association with GDM. The risk alleles of rs7178572 in HMG20A and rs4812829 in HNF4A gene conferred 1.24 and 1.28 times higher risk independently and about 1.44 and 1.97 times increased susceptibility to GDM for one and two risk genotypes, respectively. We report that the HMG20A (rs7178572) and HNF4A (rs4812829) variants that have previously shown a strong association with T2DM in Asian Indians also contributes significant risk to GDM in this population. This is the first report of the association of HMG20A (rs7178572) and HNF4A (rs4812829) variants with GDM.

Indexed as

Genetic Predisposition to DiseaseAdultAllelesAsian PeopleDiabetes, GestationalDiabetes Mellitus, Type 2FemaleGenetic Association StudiesGenotypeHumansIndiaPolymorphism, Single NucleotidePregnancyAsian IndianGDMGWASHMG20A (rs7178572)HNF4A (rs4812829)T2DM

Identifiers

PMID28190082
OpenAlexW2586228685

What OpenQuestion holds

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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.