Evidence map›Paper›PMID 27815639›Full record

ReviewMolecular genetics and genomics : MGG2017

DNA methylation-based variation between human populations.

Farzeen Kader, Meenu Ghai

Abstract readReview
PubMed Publisher
In one paragraph

Review 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 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Genome-wide DNA methylation analysis of pediatric medulloblastomas from a Brazilian cohort: an exploratory study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  5. Methylation of theOncology letters · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Epigenetic analyses in forensic medicine: future and challenges.International journal of legal medicine · 2024
    Review
  14. Methylation profiles at birth linked to early childhood obesity.Journal of developmental origins of health and disease · 2024
    Article
  15. Article
  16. Methylation profiles at birth linked to early childhood obesity.medRxiv : the preprint server for health sciences · 2024
    Article
  17. Article
  18. Article
  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

2 authors at 1 institution in 1 country.

Farzeen KaderDepartment of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X54001, Westville Campus, Durban, 3629, South Africa.
Meenu GhaiDepartment of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X54001, Westville Campus, Durban, 3629, South Africa. ghai@ukzn.ac.za.
University of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have proved that DNA methylation affects regulation of gene expression and development. Epigenome-wide studies have reported variation in methylation patterns between populations, including Caucasians, non-Caucasians (Blacks), Hispanics, Arabs, and numerous populations of the African continent. Not only has DNA methylation differences shown to impact externally visible characteristics, but is also a potential biomarker for underlying racial health disparities between human populations. Ethnicity-related methylation differences set their mark during early embryonic development. Genetic variations, such as single-nucleotide polymorphisms and environmental factors, such as age, dietary folate, socioeconomic status, and smoking, impacts DNA methylation levels, which reciprocally impacts expression of phenotypes. Studies show that it is necessary to address these external influences when attempting to differentiate between populations since the relative impacts of these factors on the human methylome remain uncertain. The present review summarises several reported attempts to establish the contribution of differential DNA methylation to natural human variation, and shows that DNA methylation could represent new opportunities for risk stratification and prevention of several diseases amongst populations world-wide. Variation of methylation patterns between human populations is an exciting prospect which inspires further valuable research to apply the concept in routine medical and forensic casework. However, trans-generational inheritance needs to be quantified to decipher the proportion of variation contributed by DNA methylation. The future holds thorough evaluation of the epigenome to understand quantification, heritability, and the effect of DNA methylation on phenotypes. In addition, methylation profiling of the same ethnic groups across geographical locations will shed light on conserved methylation differences in populations.

Indexed as

DNA MethylationEpigenesis, GeneticGenetic VariationAutoimmune DiseasesEthnicityGenetic Association StudiesGenetics, MedicalGenetics, PopulationHumansNeoplasmsPolymorphism, Single NucleotideRacial GroupsDNA methylationEthnic groupsHuman populationsPhenotypic variation

Identifiers

PMID27815639
OpenAlexW2546877500

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.