Evidence map›Paper›PMID 30291282›Full record

ArticleScientific reports2018

Genome-wide methylation analysis identifies ELOVL5 as an epigenetic biomarker for the risk of type 2 diabetes mellitus.

Joo-Yeon Hwang, Hyo Jung Lee, Min Jin Go, Han Byul Jang, Nak-Hyun Choi, Jae Bum Bae, Juan E Castillo-Fernandez, Jordana T Bell, Tim D Spector, Hye-Ja Lee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes.International journal of molecular sciences · 2021
    Review
  6. Review
  7. DNA methylation profiling of CD04Annals of medicine and surgery (2012) · 2020
    Article
  8. Article
  9. [Correlation between fasting plasma glucose, HbA1c and DNA methylation in adult twins].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    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

11 authors at 2 institutions in 2 countries.

Joo-Yeon HwangCenter for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea.
Hyo Jung LeeCenter for Biomedical Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheonbuk-do, Republic of Korea.
Min Jin GoCenter for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea.
Han Byul JangCenter for Biomedical Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheonbuk-do, Republic of Korea.
Nak-Hyun ChoiCenter for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea.
Jae Bum BaeCenter for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea.
Juan E Castillo-FernandezDepartment of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
Jordana T BellDepartment of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
Tim D SpectorDepartment of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
Hye-Ja LeeCenter for Biomedical Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheonbuk-do, Republic of Korea. hyejalee@yahoo.co.kr.
Bong-Jo KimCenter for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Republic of Korea. kbj6181@cdc.go.kr.
Korea National Institute of Health · KRKing's College London · GB

Funding

Medical Research Council MR/M004422/1Wellcome Trust
6 · The paper itself

Abstract

Genome-wide DNA methylation has been implicated in complex human diseases. Here, we identified epigenetic biomarkers for type 2 diabetes (T2D) underlying obesogenic environments. In a blood-based DNA methylation analysis of 11 monozygotic twins (MZTW) discordant for T2D, we discovered genetically independent candidate methylation sites. In a follow-up replication study (17 MZTW pairs) for external validation, we replicated the T2D-association at a novel CpG signal in the ELOVL fatty acid elongase 5 (ELOVL5) gene specific to T2D-discordant MZTW. For concordant DNA methylation signatures in tissues, we further confirmed that a CpG site (cg18681426) was associated with adipogenic differentiation between human preadipocytes and adipocytes isolated from the same biopsy sample. In addition, the ELOVL5 gene was significantly differentially expressed in adipose tissues from unrelated T2D patients and in human pancreatic islets. Our results demonstrate that blood-derived DNA methylation is associated with T2D risk as a proxy for cumulative epigenetic status in human adipose and pancreatic tissues. Moreover, ELOVL5 expression was increased in cellular and mouse models of induced obesity-related diabetes. These findings may provide new insights into epigenetic architecture by uncovering methylation-based biomarkers.

Indexed as

DNA MethylationAcetyltransferasesAdipose TissueAdultAnimalsCpG IslandsDiabetes Mellitus, Type 2Disease Models, AnimalEpigenesis, GeneticFatty Acid ElongasesGenomicsHumansInflammationInsulin ResistanceIslets of LangerhansMaleAcetyltransferasesELOVL5 protein, humanElovl5 protein, mouseFatty Acid Elongases

Identifiers

PMID30291282
PMCPMC6173741
OpenAlexW2894978531

What OpenQuestion holds

Textmetadata
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.