Evidence map›Paper›PMID 25869828›Full record

ArticleHuman molecular genetics2015

Longitudinal analysis of DNA methylation associated with birth weight and gestational age.

Andrew J Simpkin, Matthew Suderman, Tom R Gaunt, Oliver Lyttleton, Wendy L McArdle, Susan M Ring, Kate Tilling, George Davey Smith, Caroline L Relton

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 7 pooled it
8.1field-weighted citation impact, top 2% 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

97 citing papers in PubMed, 7 syntheses or guidelines pooled it, 180 citations in OpenAlex.

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37 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

9 authors at 1 institution in 1 country.

Andrew J SimpkinMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, andrew.simpkin@bristol.ac.uk.
Matthew SudermanMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol.
Tom R GauntMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol.
Oliver LyttletonSchool of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and.
Wendy L McArdleSchool of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and.
Susan M RingMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol.
Kate TillingMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol.
George Davey SmithMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol.
Caroline L ReltonMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK.
University of Bristol · GB

Funding

Medical Research Council G0600705Medical Research Council G0601625Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/8Medical Research Council MR/L011824/1Wellcome Trust 102215
6 · The paper itself

Abstract

Gestational age (GA) and birth weight have been implicated in the determination of long-term health. It has been hypothesized that changes in DNA methylation may mediate these long-term effects. We obtained DNA methylation profiles from cord blood and peripheral blood at ages 7 and 17 in the same children from the Avon Longitudinal Study of Parents and Children. Repeated-measures data were used to investigate changes in birth-related methylation during childhood and adolescence. Ten developmental phenotypes (e.g. height) were analysed to identify possible mediation of health effects by DNA methylation. In cord blood, methylation at 224 CpG sites was found to be associated with GA and 23 CpG sites with birth weight. Methylation changed in the majority of these sites over time, but neither birth characteristic was strongly associated with methylation at age 7 or 17 (using a conservative correction for multiple testing of P < 1.03 × 10(-7)), suggesting resolution of differential methylation by early childhood. Associations were observed between birth weight-associated CpG sites and phenotypic characteristics in childhood. One strong association involved birth weight, methylation of a CpG site proximal to the NFIX locus and bone mineral density at age 17. Analysis of serial methylation from birth to adolescence provided evidence for a lack of persistence of methylation differences beyond early childhood. Sites associated with birth weight were linked to developmental genes and have methylation levels which are associated with developmental phenotypes. Replication and interrogation of causal relationships are needed to substantiate whether methylation differences at birth influence the association between birth weight and development.

Indexed as

Birth WeightDNA MethylationAdolescentChildCpG IslandsFemaleFetal BloodGestational AgeHumansLongitudinal StudiesMaleNFI Transcription FactorsNFI Transcription FactorsNFIX protein, human

Identifiers

PMID25869828
PMCPMC4459393
OpenAlexW2119749794

What OpenQuestion holds

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LicenceCC BY
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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.