Evidence map›Paper›PMID 25663950›Full record

ArticleClinical epigenetics2015

Association of DNA methylation with age, gender, and smoking in an Arab population.

Shaza B Zaghlool, Mashael Al-Shafai, Wadha A Al Muftah, Pankaj Kumar, Mario Falchi, Karsten Suhre

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Shaza B ZaghloolBioinformatics Core, Weill Cornell Medical College in Qatar, Education City, PO Box 24144, Doha, Qatar ; Computer Engineering Department, Virginia Tech, Blacksburg, VA 24060 USA.
Mashael Al-ShafaiBioinformatics Core, Weill Cornell Medical College in Qatar, Education City, PO Box 24144, Doha, Qatar ; Department of Genomics of Common Disease, Imperial College London, London, UK ; Research Division, Qatar Science Leadership Program, Qatar Foundation, Doha, Qatar.
Wadha A Al MuftahBioinformatics Core, Weill Cornell Medical College in Qatar, Education City, PO Box 24144, Doha, Qatar ; Department of Genomics of Common Disease, Imperial College London, London, UK ; Research Division, Qatar Science Leadership Program, Qatar Foundation, Doha, Qatar.
Pankaj KumarBioinformatics Core, Weill Cornell Medical College in Qatar, Education City, PO Box 24144, Doha, Qatar.
Mario FalchiDepartment of Genomics of Common Disease, Imperial College London, London, UK.
Karsten SuhreBioinformatics Core, Weill Cornell Medical College in Qatar, Education City, PO Box 24144, Doha, Qatar ; Helmholtz Zentrum München, Germany, Research Center for Environmental Health, 85764 Neuherberg, Germany.
Weill Cornell Medical College in Qatar · QAImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModification of DNA by methylation of cytosines at CpG dinucleotides is a widespread phenomenon that leads to changes in gene expression, thereby influencing and regulating many biological processes. Recent technical advances in the genome-wide determination of single-base DNA-methylation enabled epigenome-wide association studies (EWASs). Early EWASs established robust associations between age and gender with the degree of CpG methylation at specific sites. Other studies uncovered associations with cigarette smoking. However, so far these studies were mainly conducted in Caucasians, raising the question of whether these findings can also be extrapolated to other populations.

resultsHere, we present an EWAS with age, gender, and smoking status in a family study of 123 individuals of Arab descent. We determined DNA methylation at over 450,000 CpG sites using the Illumina Infinium HumanMethylation450 BeadChip, applied state-of-the-art data processing protocols, including correction for blood cell type heterogeneity and hidden confounders, and eliminated probes containing SNPs at the targeted CpG site using 40× whole-genome sequencing data. Using this approach, we could replicate the leading published EWAS associations with age, gender and smoking, and recovered hallmarks of gender-specific epigenetic changes. Interestingly, we could even replicate the recently reported precise prediction of chronological age based on the methylation of only a few selected CpG sites.

conclusionOur study supports the view that when applied with state-of-the art protocols to account for all potential confounders, DNA methylation arrays represent powerful tools for EWAS with more complex phenotypes that can also be successfully applied to non-Caucasian populations.

Indexed as

AgeAssociation studyDNA methylationEpigeneticsGenderSmoking

Identifiers

PMID25663950
PMCPMC4320840
OpenAlexW2161080415

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.