Evidence map›Paper›PMID 27099715›Full record

ArticleJournal of diabetes research & clinical metabolism

Migration and DNA methylation: a comparison of methylation patterns in type 2 diabetes susceptibility genes between indians and europeans.

Hannah R Elliott, Gagandeep K Walia, Aparna Duggirala, Alix Groom, S Umakar Reddy, Giriraj R Chandak, Vipin Gupta, Markku Laakso, Jacqueline M Dekker, RISC Consortium and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes research & clinical metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Fetal programming of adipose tissue function: an evolutionary perspective.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  5. 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

14 authors at 5 institutions in 3 countries.

Hannah R ElliottInstitute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Gagandeep K WaliaSouth Asia Network for Chronic Disease, Public Health Foundation of India, New Delhi, India.
Aparna DuggiralaCentre for Cellular and Molecular Biology, Council of Scientific and Industrial Research, Hyderabad, India.
Alix GroomInstitute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
S Umakar ReddyCentre for Cellular and Molecular Biology, Council of Scientific and Industrial Research, Hyderabad, India.
Giriraj R ChandakCentre for Cellular and Molecular Biology, Council of Scientific and Industrial Research, Hyderabad, India.
Vipin GuptaSouth Asia Network for Chronic Disease, Public Health Foundation of India, New Delhi, India.
Markku LaaksoUniversity of Eastern Finland, Finland, and Kuopio University Hospital, Finland.
Jacqueline M DekkerDepartment of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, the Netherlands.
RISC Consortium
Mark WalkerInstitute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Shah EbrahimSouth Asia Network for Chronic Disease, Public Health Foundation of India, New Delhi, India; Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
George Davey SmithMRC Centre for Causal Analyses in Translational Epidemiology, Department of Social and Community Medicine, University of Bristol, Bristol, UK.
Caroline L ReltonInstitute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Newcastle University · GBCouncil of Scientific and Industrial Research · INPublic Health Foundation of India · INCentre for Cellular and Molecular Biology · INEMGO Institute for Health and Care Research · NL

Funding

Medical Research Council G0600705Medical Research Council MC_UU_12013/2Wellcome Trust 089645
6 · The paper itself

Abstract

backgroundType 2 diabetes is a global problem that is increasingly prevalent in low and middle income countries including India, and is partly attributed to increased urbanisation. Genotype clearly plays a role in type 2 diabetes susceptibility. However, the role of DNA methylation and its interaction with genotype and metabolic measures is poorly understood. This study aimed to establish whether methylation patterns of type 2 diabetes genes differ between distinct Indian and European populations and/or change following rural to urban migration in India.

methodsQuantitative DNA methylation analysis in Indians and Europeans using Sequenom

resultsConsistent differences in DNA methylation patterns were observed between Indian and European populations in ADCY5, FTO and KCNJ11. Associations were demonstrated between FTO rs9939609 and BMI and between ADCY5rs17295401 and HDL levels in Europeans. However, these observations were not linked to local variation in DNA methylation levels. No differences in methylation patterns were observed in urban-dwelling migrants compared to their non-migrant rural-dwelling siblings in India.

conclusionsAnalysis of DNA methylation at three type 2 diabetes susceptibility loci highlighted geographical and ethnic differences in methylation patterns. These differences may be attributed to genetic and/or region-specific environmental factors.

Indexed as

DNA methylationethnicityType 2 diabetes

Identifiers

PMID27099715
PMCPMC4835020
OpenAlexW1975961921

What OpenQuestion holds

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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.