Evidence map›Paper›PMID 29777239›Full record

ArticleInternational journal of obesity (2005)2019

Inference about causation between body mass index and DNA methylation in blood from a twin family study.

Shuai Li, Ee Ming Wong, Minh Bui, Tuong L Nguyen, Ji-Hoon Eric Joo, Jennifer Stone, Gillian S Dite, Pierre-Antoine Dugué, Roger L Milne, Graham G Giles and 3 more

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In one paragraph

Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
5.0field-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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. DNA Methylation Patterns Associated with Tinnitus in Young Adults-A Pilot Study.Journal of the Association for Research in Otolaryngology : JARO · 2024
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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

13 authors at 3 institutions in 1 country.

Shuai LiCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Ee Ming WongGenetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Parkville, VIC, Australia.
Minh BuiCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Tuong L NguyenCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Ji-Hoon Eric JooGenetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Parkville, VIC, Australia.
Jennifer StoneCentre for Genetic Origins of Health and Disease, Curtin University and the University of Western Australia, Perth, WA, Australia.
Gillian S DiteCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Pierre-Antoine DuguéCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Roger L MilneCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0001-5764-7268
Graham G GilesCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Richard SafferyMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0002-9510-4181
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Parkville, VIC, Australia.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia. j.hopper@unimelb.edu.au.
The University of Melbourne · AURoyal Children's Hospital · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have reported DNA methylation in blood to be associated with body mass index (BMI), but few have investigated causal aspects of the association. We used a twin family design to assess this association at two life points and applied a novel analytical approach to appraise the evidence for causality.

methodsThe methylation profile of DNA from peripheral blood was measured for 479 Australian women from 130 twin families. Linear regression was used to estimate the associations of DNA methylation at ~410,000 cytosine-guanine dinucleotides (CpGs), and of the average DNA methylation at ~20,000 genes, with current BMI, BMI at age 18-21 years, and the change between the two (BMI change). A novel regression-based methodology for twins, Inference about Causation through Examination of Familial Confounding (ICE FALCON), was used to assess causation.

resultsAt a 5% false discovery rate, nine, six and 12 CpGs at 24 loci were associated with current BMI, BMI at age 18-21 years and BMI change, respectively. The average DNA methylation of the BHLHE40 and SOCS3 loci was associated with current BMI, and of the PHGDH locus with BMI change. From the ICE FALCON analyses with BMI as the predictor and DNA methylation as the outcome, a woman's DNA methylation level was associated with her co-twin's BMI, and the association disappeared after conditioning on her own BMI, consistent with BMI causing DNA methylation. To the contrary, using DNA methylation as the predictor and BMI as the outcome, a woman's BMI was not associated with her co-twin's DNA methylation level, consistent with DNA methylation not causing BMI.

conclusionFor middle-aged women, peripheral blood DNA methylation at several genomic locations is associated with current BMI, BMI at age 18-21 years and BMI change. Our study suggests that BMI has a causal effect on peripheral blood DNA methylation.

Indexed as

Body Mass IndexTwins, DizygoticTwins, MonozygoticAdolescentAdultAustraliaCross-Sectional StudiesDNA MethylationEpigenomicsGenome-Wide Association StudyHumansMiddle AgedYoung Adult

Identifiers

PMID29777239
OpenAlexW2778824377

What OpenQuestion holds

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Registered trials

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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.