Evidence map›Paper›PMID 28473874›Full record

ArticleClinical epigenetics2017

Regional differences in mitochondrial DNA methylation in human post-mortem brain tissue.

Matthew Devall, Rebecca G Smith, Aaron Jeffries, Eilis Hannon, Matthew N Davies, Leonard Schalkwyk, Jonathan Mill, Michael Weedon, Katie Lunnon

Abstract read
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Environment & health (Washington, D.C.) · 2025
    Article
  6. Article
  7. Mitochondrial One-Carbon Metabolism and Alzheimer's Disease.International journal of molecular sciences · 2024
    Review
  8. Epigenetic analyses in forensic medicine: future and challenges.International journal of legal medicine · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Mitochondrial DNA Methylation and Human Diseases.International journal of molecular sciences · 2021
    Review
  19. Review
  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.

Matthew DevallUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.
Rebecca G SmithUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.
Aaron JeffriesUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.
Eilis HannonUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.
Matthew N DaviesDepartment of Twin Research & Genetic Epidemiology, King's College London, Lambeth Palace Road, London, UK.
Leonard SchalkwykSchool of Biological Sciences, University of Essex, Essex, UK.
Jonathan MillUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.
Michael WeedonUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.
Katie LunnonUniversity of Exeter Medical School, RILD, University of Exeter, Barrack Road, Devon, UK.ORCID 0000-0001-7570-6065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation is an important epigenetic mechanism involved in gene regulation, with alterations in DNA methylation in the nuclear genome being linked to numerous complex diseases. Mitochondrial DNA methylation is a phenomenon that is receiving ever-increasing interest, particularly in diseases characterized by mitochondrial dysfunction; however, most studies have been limited to the investigation of specific target regions. Analyses spanning the entire mitochondrial genome have been limited, potentially due to the amount of input DNA required. Further, mitochondrial genetic studies have been previously confounded by nuclear-mitochondrial pseudogenes. Methylated DNA Immunoprecipitation Sequencing is a technique widely used to profile DNA methylation across the nuclear genome; however, reads mapped to mitochondrial DNA are often discarded. Here, we have developed an approach to control for nuclear-mitochondrial pseudogenes within Methylated DNA Immunoprecipitation Sequencing data. We highlight the utility of this approach in identifying differences in mitochondrial DNA methylation across regions of the human brain and pre-mortem blood.

resultsWe were able to correlate mitochondrial DNA methylation patterns between the cortex, cerebellum and blood. We identified 74 nominally significant differentially methylated regions (

conclusionsOur study represents a comprehensive analysis of the mitochondrial methylome using pre-existing Methylated DNA Immunoprecipitation Sequencing data to identify brain region-specific patterns of mitochondrial DNA methylation.

Indexed as

DNA MethylationAgedAged, 80 and overAutopsyBrain ChemistryCerebellumCerebral CortexCpG IslandsDNA, MitochondrialEpigenesis, GeneticFemaleHumansMaleOrgan SpecificitySequence Analysis, DNADNA, Mitochondrial5-mC5-MethylcytosineBloodBrainDNA methylationEpigeneticsMeDIP-seqMitochondriaNUMTs

Identifiers

PMID28473874
PMCPMC5415779

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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.