Evidence map›Paper›PMID 24485148›Full record

ArticleClinical epigenetics2014

Differences in smoking associated DNA methylation patterns in South Asians and Europeans.

Hannah R Elliott, Therese Tillin, Wendy L McArdle, Karen Ho, Aparna Duggirala, Tim M Frayling, George Davey Smith, Alun D Hughes, Nish Chaturvedi, Caroline L Relton

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 12 pooled it
10.2field-weighted citation impact, top 1% 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

180 citing papers in PubMed, 12 syntheses or guidelines pooled it, 308 citations in OpenAlex.

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  13. System-Specific Epigenetic Aging Signatures in Autistic Adults.bioRxiv : the preprint server for biology · 2026
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120 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 1 country.

Hannah R ElliottMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK. hannah.elliott@bristol.ac.uk.
Therese Tillin
Wendy L McArdle
Karen Ho
Aparna Duggirala
Tim M Frayling
George Davey Smith
Alun D Hughes
Nish Chaturvedi
Caroline L Relton
University of Bristol · GBImperial College London · GBNewcastle University · GBUniversity College London · GBUniversity of Exeter · GB

Funding

Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2
6 · The paper itself

Abstract

backgroundDNA methylation is strongly associated with smoking status at multiple sites across the genome. Studies have largely been restricted to European origin individuals yet the greatest increase in smoking is occurring in low income countries, such as the Indian subcontinent. We determined whether there are differences between South Asians and Europeans in smoking related loci, and if a smoking score, combining all smoking related DNA methylation scores, could differentiate smokers from non-smokers.

resultsIllumina HM450k BeadChip arrays were performed on 192 samples from the Southall And Brent REvisited (SABRE) cohort. Differential methylation in smokers was identified in 29 individual CpG sites at 18 unique loci. Interaction between smoking status and ethnic group was identified at the AHRR locus. Ethnic differences in DNA methylation were identified in non-smokers at two further loci, 6p21.33 and GNG12. With the exception of GFI1 and MYO1G these differences were largely unaffected by adjustment for cell composition. A smoking score based on methylation profile was constructed. Current smokers were identified with 100% sensitivity and 97% specificity in Europeans and with 80% sensitivity and 95% specificity in South Asians.

conclusionsDifferences in ethnic groups were identified in both single CpG sites and combined smoking score. The smoking score is a valuable tool for identification of true current smoking behaviour. Explanations for ethnic differences in DNA methylation in association with smoking may provide valuable clues to disease pathways.

Identifiers

PMID24485148
PMCPMC3915234
OpenAlexW2142260353

What OpenQuestion holds

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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.