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25-Hydroxyvitamin D in pregnancy and genome wide cord blood DNA methylation in two pregnancy cohorts (MoBa and ALSPAC)

M. Suderman

a,

*

,1

, L.C. Stene

b,1

, J. Bohlin

c,1

, C.M. Page

b

, K. Holvik

b

, C.L. Parr

b

,

M.C. Magnus

b

, S.E. Håberg

b

, B.R. Joubert

d

, M.C. Wu

e

, S.J. London

d

, C. Relton

a

, W. Nystad

b

aMRCIntegrativeEpidemiologyUnit,UniversityofBristol,OakfieldHouse,OakfieldGrove,Clifton,BristolBS82BN,UK

bNorwegianInstituteofPublicHealth,DivisionofEpidemiology,MarcusThranesGate6,P.O.Box4404,0403Oslo,Norway

cNorwegianInstituteofPublicHealth,InfectionControlandEnvironmentalHealth,Lovisenbergata8,P.O.Box4404,0403Oslo,Norway

dNationalInstituteofEnvironmentalHealthSciences,NationalInstitutesofHealth,Dept.ofHealthandHumanServices,P.O.Box12233,MDA3-05,Research TrianglePark,NC27709,UnitedStates

ePublicHealthSciencesDivision,FredHutchinsonCancerResearchCenter,Seattle,WA98109,UnitedStates

ARTICLE INFO Articlehistory:

Received20November2015 Receivedinrevisedform1March2016 Accepted2March2016

Availableonline4March2016 Keywords:

DNAmethylation Epigenetics VitaminD 2-HydroxyvitaminD MaternalvitaminD Methylome Offspring

ABSTRACT

The aim of the study was to investigate whether maternal mid-pregnancy 25-hydroxyvitamin D concentrationsareassociatedwithcordbloodDNAmethylation.

DNAmethylationwasassessedusingtheIlluminaHumanMethylation450BeadChip,andmaternal plasma 25-hydroxyvitamin D was measured in 819 mothers/newborn pairs participating in the NorwegianMotherandChildCohort(MoBa)and597mothers/newbornpairsparticipatingintheAvon LongitudinalStudyofParentsandChildren(ALSPAC).

Across473,731CpGDNAmethylationsitesincordbloodDNA,nonewerestronglyassociatedwith maternal25-hydroxyvitaminDafteradjustingformultipletests(falsediscoveryrate(FDR)>0.5;473,731 tests).Ameta-analysisoftheresultsfrombothcohorts,usingtheFishermethodforcombiningp-values, alsodidnotstrengthenfindings(FDR>0.2).FurtherexplorationofasetofCpGsitesintheproximityof fouraprioridefinedcandidategenes(CYP24A1,CYP27B1,CYP27A1andCYP2R1)didnotresultinany associationswithFDR<0.05(56tests).Inthislargegenomewideassessmentofthepotentialinfluence ofmaternalvitaminDstatusonDNAmethylation,wedidnotfindanyconvincingassociationsin1416 newborns.Iftrueassociationsdoexist,theiridentificationmightrequiremuchlargerconsortiumstudies, expanded genomic coverage, investigation of alternative cell types or measurements of 25-hydroxyvitaminDatdifferentgestationaltimepoints.

ã2016TheAuthors.PublishedbyElsevierLtd.ThisisanopenaccessarticleundertheCCBYlicense (http://creativecommons.org/licenses/by/4.0/).

1.Introduction

Vitamin D is a precursor of the steroid hormone 1,25- dihydroxyvitaminD(1,25(OH)2D),withimportantrolesincalcium and bone metabolism as well as other biological processes. A numberofdifferenttissuesexpressthevitaminDreceptor(VDR), whichactsasatranscriptionalfactorafterbindingof1,25(OH)2D andheterodimerisationwithretinoicXreceptor(RXR).Themajor circulating formand indicatorof vitamin D status, 25-hydrox- yvitaminD(25(OH)D),issuppliedby25-hydroxylationofvitamin DproducedintheskinuponUVBradiationorvitaminDfromthe diet[1].25(OH)Disactivatedinasecondhydroxylationstep,by

1

a

-hydroxylase(encodedbyCYP27B1),primarilyinthekidneys, butalsoin othertissuesexpressingCYP27B1 includinglympho- cytes[1,2].

Low 25(OH)D levels have been associated with a range of adverse conditions, from pregnancy outcomes to childhood illnessesand chronicdiseaseincludingosteoporosis,cancerand cardiovascular disease in adulthood [3], although randomized controlledtrialsofvitaminDsupplementsdonotsupportcausality forextra-skeletaloutcomes[4,5].

VitaminDmetabolismchangesduringpregnancy, suggesting importance for the mother and fetus [6]. For instance, while circulating 1,25(OH)2D is normally tightly controlled by renal hydroxylation of 25(OH)D,levelsincrease during pregnancy. In additiontoincreasedrenalexpressionofCYP27B1,thismayalso partlyresultfromplacentalexpressionofCYP27B1combinedwith reducedactivityofCYP24A1,whichcatalyzesthefirststepofthe catabolismof1,25(OH)2D.

*Correspondingauthor.

E-mailaddress:[email protected](M. Suderman).

1Equallycontributingauthors.

http://dx.doi.org/10.1016/j.jsbmb.2016.03.005

0960-0760/ã2016TheAuthors.PublishedbyElsevierLtd.ThisisanopenaccessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).

ContentslistsavailableatScienceDirect

Journal of Steroid Biochemistry & Molecular Biology

j o u r n al h o m e p a g e : w w w . el s e v i e r . c o m / l o c at e / j s b m b

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Lowermaternal25(OH)Dduringpregnancyhasbeenassociated withanumberofadverseperinataloutcomes,suchaslowbirth weightand pretermbirthandalsolaterhealthoutcomesinthe offspringsuchasbonehealth[7],wheezingandatopicdisorders [8],andautoimmunedisordersliketype1diabetes[9].Althougha number of studies have reported inverse associations between maternal vitamin D status and postnatal health outcomes, systematicreviewsshowthatthereisstillsubstantialheteroge- neitybetweenstudiesintermsofmethodologyandresults,and few or no randomized trials have been performed [6,8,10,11].

Although two recent randomized controlled trials observed suggestivereductionsin theincidenceof asthmaand recurrent wheezingfollowingvitaminDsupplementationduringpregnancy [12,13], theprimaryendpoints werenotstatisticallysignificant.

Theevidenceforcausalityoftheseassociationsthereforeremains largelyinconclusive.

Inadditiontoaneedforlargerandomizedstudiesinthisfield, thereisalsoaneedtoexplorepotentialmechanismsinvolvedin thehypothesizedlinksbetweenmaternalvitamin Dstatus and offspring health. It is well established that maternal 25(OH)D duringpregnancyiscorrelatedwithcordblood25(OH)D,butitis possiblethatsomeoftheobservedassociationswithlongterm healthoutcomesmaybemediatedbyfetalprogrammingmecha- nisms suchas DNA methylation in the fetal genome[14]. The activatedvitaminDreceptorhasalargenumberofpotentialtarget genes,identifiedbothexperimentallyusinginvitromodelsandin

silico by identification of vitamin D responsive elements [15].

Potentialtargetgenesincludedsomewell-establishedcandidates, such as CYP27B1 and CYP24A1, and a large number of yet unconfirmedgenes.

A fewsmallerstudieshaveinvestigated DNAmethylationat somecandidatelociinrelationtovitaminD[16].Onerecentstudy examined the association between vitamin D deficiency and genomewideDNAmethylationinAfricanchildren[17].Another study explored epigenetic regulation of vitamin D converting enzymes [18], while a third found a relationship between methylation of the genesCYP24R1 and CYP27A1 and variations in circulating25(OH)D levels [19]. Epigenome wide studies, in general, are gaining in popularitywith theuseof the Illumina HumanMethylation450 BeadChip. We are not aware of any publishedstudiesontheassociationbetweenmaternal25(OH)D andgenomewideDNAmethylationincordblood.Weassessedthis association using the Illumina HumanMethylation450 assay in 1416 newborns from two large pregnancy cohort studies: The NorwegianMotherandChildCohortStudy(MoBa)[20] andthe AvonLongitudinalStudyofParentsandChildren(ALSPAC)from theUK[21].

2.Materialsandmethods

2.1.TheNorwegianMotherandChildCohortStudy(MoBa)

Study population and sample acquisition. The Norwegian Mother and Child Cohort Study (MoBa) is a population-based pregnancy cohort administered by the Norwegian Institute of PublicHealth(NIPH)[20,22,23].

Pregnantwomenwererecruitedbetween1999and2008from 50 of the 52 hospitals in Norway when attending the routine ultrasoundexaminationatapproximately18 weeksofgestation (98%coverageofallpregnantwomen).Theoverallparticipation rateforMoBawas41%[20].Bloodsamplesweredrawnfromthe motherandbloodfromtheumbilicalcordveinwascollectedwith a syringe. Thehandling and qualityassuranceof thebiological materialhasbeenthoroughlydescribedpreviously[24].

The present study is based on data from MoBa version VI (108,863 children in total) with linkage to the Medical Birth RegistryofNorway(MBR).Participantsconstitutedtwosubgroups.

ThefirstincludedasampleamongthosebornbetweenJuly2002 and December 2003 with completed questionnaires at 18–22 weeks gestation (n=17,005 eligible children). The second sub- groupincludedchildrenbornbetweenJuly2002and July2004 with completed questionnaires up to 36 months who were classifiedashavingasthmaat36months.Fromthesetwogroups, therewere819childrenwithmaternal25-hydroxyvitaminDlevels and cord blood DNA methylationprofiles [25]. The study was approvedbytheNorwegianDataInspectorateand theRegional EthicsCommitteeforMedicalResearch.

25-Hydroxyvitamin Dlevels. Maternalplasma levels of25- hydroxyvitaminD3 and25-hydroxyvitaminD2wereanalyzedat Bevitallaboratories(www.Bevital.no),usingaliquidchromatog- raphy-tandemmassspectrometrymethod(LC–MS/MS)[25].The withindaycoefficientofvariancefor25-hydroxyvitaminD2was 4.3–4.5%,whilethebetweendaycoefficientofvariancewas4.6– 7.7%.Thewithindaycoefficientofvariancefor25-hydroxyvitamin D3was4.4–5.3%,whilethebetweendaycoefficientofvariancewas 7.3–8.2%.Thecontributionof25-hydroxyvitaminD2inthestudy samplewasnegligible,andthesumof25-hydroxyvitaminD3and -D2,termed25(OH)D,wasusedintheanalysis.

DNA methylation profile generation. Cord blood DNA methylation was assayed using the Illumina Infinium Human- Methylation450 BeadChip (www.illumina.com), which was designedtoconductepigenome-wideassociationstudies(EWAS) Table1

Populationcharacteristics.

MoBa ALSPAC

Numberofparticipantsused 819 597

Maternalage(years)

MeanSD 29.9(4.33) 30.1(4.38)

Maternalmid-pregnancy25-hydroxyvitaminD(ng/mL)

MeanSD 73.5(23.42) 68.3(32.3)

Maternalfolatelevels(nmol/L)

Mean+/SD 12.0(7.99) N/A

Maternalpre-pregnancyBMI(kg/m2)

MedianSD 23.2(4.15) 22.9(3.71)

Maternaleducation

Low 61 52(CSE)

Highschool 258 52(Vocational)

College 367 198(Olevel)

University 129 172(Alevel)

114(Degree) Maternalsmokingduringpregnancy

Yes 110 88

No 702 463

Maternalparity

Firstchild 346 275

Secondchild 333 215

Thirdormore 140 89

Offspringsex

Male 449 288

Female 370 309

Offspringasthmaat3yrs

Yes 328 81(wheezing)

No 491 516

Birthseason

Feb–Apr 267 121

May–Jul 172 161

Aug–Oct 136 181

Nov–Jan 244 134

M.Sudermanetal./JournalofSteroidBiochemistry&MolecularBiology159(2016)102–109 103

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and includes 485,512 methylation sites per sample at single- nucleotideresolution.Thischipcovers99%ofRefSeqgenes,with anaverageof17CpGsitespergene regionacrossthepromoter, 50UTR,firstexon,genebody,and30UTR.Inaddition,thechipcovers 96%ofCpGislands,withadditionalcoverageofislandshores.DNA methylation levels of CpG sites is detected using bisulfite- converted genomic DNA (gDNA), where unmethylated (Un) cytosine bases are converted to uracil, while methylated (Me) cytosineremainsunchanged.Bisulfiteconversionwasperformed usingtheEZ-96DNAMethylationkit(ZymoResearchCorporation, Irvine, CA) according to manufacturer instructions. Illumina reports an average Beta valuefor themethylation level of the interrogatedsitesbasedonthefollowingformula:

b

ij=Max(Meij, 0)/(Max(Meij,0)+Max(Unij,0)+100),foreachpersonjandeachof

the 485,512 CpG sites i. Batch effects in these analyses were avoidedasallsampleswereanalyzedonthesameday,bythesame individual,usingthesame instrument.Aspreviouslydescribed, chip,chipsetandplatewerenotappreciablesourcesofvariability [26,27], so they were not included as covariates in regression models. BMIQ was performed on the methylation data to assimilatetypeIandIIprobes[28,29].Moreinformationregarding qualitycontroloftheMoBacohortdatasetcanbefoundelsewhere [26,27].

Statisticalanalyses.MMtyperobustlinearregression[30]was carriedoutwithCpGvalues(0

b

1)asoutcomeandplasma25 (OH)D as theexplanatory variable.MM type regression is very robusttooutliers(breakdownpointwhen50%incorrectobserva- tionscomparedto1%forordinaryleastsquares).Itissuperiorto Fig.1.Associationstatisticsconsistentwithnulldistributions.Volcano-andqq-plotsforregressionmodelshavingoffspringmethylationbetasastheresponsevariableand maternalvitaminDlevelsastheexplanatoryvariableforbothMoBa(left)andALSPAC(rights)cohorts.

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robustmethodsusingsandwichestimatorsbecauseitadjustsboth coefficientestimatesandstandarderrorsratherthanjuststandard errors. The 25(OH)D explanatory variable was approximately normally distributed. All p-values and regression estimates reported are for 25(OH)D in nmol/l as a continuous variable, categorizing the 25(OH)D variable into quartiles made no difference.Intheprimaryanalysis,themodelswereadjustedfor maternal pre-pregnancy body mass index (BMI, continuous), offspringsex,maternaleducation(4categories),maternalsmoking (yes/no), maternal folateplasma values (continuous), parity (3 categories),maternalage(continuous),birthseason(fourcatego- ries) and estimated cell type proportions (continuous matrix consistingof6(default)bloodcell-types:CD4+Tcells,CD8+Tcells, NK-cells, B-cells, monocytes and granulocytes). The cell-type estimationswerecalculatedwiththeminfipackage[31],whichis based onthe method described by Houseman et al. [32]. In a sensitivityanalysis,weranadditionalmodelsadjustingforvarious subsetsofthecovariatesmentionedabove:

Model1.None

Model2.MaternalAge+Folate+Offspringgender+Houseman cellcounts

Model3.Model2+Season

Model 4.Model 2+Maternaleducation+Maternalsmoking+ Parity+MaternalBMI

Model5.Model4+Season

Werefertothefirstasthe‘crude’modelandthelastasthe‘full’ model.

Weusedthegenomiccontrol(

l

GC)[33]toassessmodelquality andallmodelstestedwerefoundtohave

l

GCclosetoone.A

l

GC

closeto one suggeststhat the assumptionof independent and identically distributed tests is fulfilled indicating that the less conservative FDR-based q-values [34] can be used to assess significanceinthegenome-widemodels.Sincenoneofthemodels producedanyassociationswithFDR<0.05andconcordanteffect sizes, only the results from the crude analysis including no covariatesarepresented.Themeta-analysiswasperformedusing theFishermethod[35]onallthe(2)473,731p-valuesfromboth

MoBaand ALSPACcrude modelsandFDRadjusted formultiple testing.

2.2.TheAvonLongitudinalStudyofParentsandChildrenstudy (ALSPAC)

Study population andsample acquisition. Thisstudy used DNAmethylationdatageneratedundertheauspicesoftheAvon Longitudinal Studyof ParentsandChildren(ALSPAC) [21,36,37].

DNA extracted from cord blood and peripheral blood samples along withawide rangeofexposureandphenotypic datawere used.

25-HydroxyvitaminDlevels.Approximatelyaquarterofthe25 (OH)Dsampleswerecollectedineachofthefirsttwotrimesters and half in thethird trimester of pregnancy. Because 25(OH)D levelsareknowntofluctuateduringtheyear(season)andperhaps bygestationalweek,25(OH)Dwerepre-adjustedforseasonand gestationalageatbloodsamplecollectionaspreviouslydescribed [38].

DNA methylation profile generation. Cord blood DNA methylation was assayed using the Illumina HumanMethyla- tion450 platform and data pre-processed using procedures identicaltothoseusedfortheMoBadataset.Bisulfiteconversion wasperformedusingtheEZDNAMethylationkit(ZymoResearch Corporation, Irvine, CA)accordingtomanufacturerinstructions.

AllstepswereperformedattheUniversityofBristolaspartofthe Accessible Resource for Integrated Epigenomic Studies (ARIES) project (http://www.ariesepigenomics.org.uk). During the data generationprocessawiderangeofbatchvariableswererecorded in a purpose-built laboratory information management system (LIMS). The LIMS also reported QC metrics from the standard control probes on the 450K BeadChip. Samples failing quality (sampleswith>20%probeswithp-value>=0.01)wererepeated.

Samples fromall three time pointsin ARIES wererandomized acrossarrays tominimizethepotential for batcheffects. Asan additionalQCstep,genotypeprobesonthe450KBeadChipwere comparedbetweensamplesfromthesameindividualandagainst Fig.2.StudyeffectsizesnotcorrelatedbetweenMoBaandALSPAC.Eachscatterplotshowstheeffectsizesofthetop20meta-analyzedassociations.Theleftplotshowsthe effectsizesforthecrudemodel(nocovariates),andtherightplotshowsthoseforthefullmodel.Thedashedlinesmarkthe95%confidenceintervalfortheregressionline.

M.Sudermanetal./JournalofSteroidBiochemistry&MolecularBiology159(2016)102–109 105

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SNP-chipdatatoidentifyandremoveanysamplemismatches.The ALSPACsampleswerenot analyzedina singledayas werethe MoBasamples.Consequently,thedatasetwasnormalizedusingan alternativeapproachoptimizedtominimizetheeffectsofresulting technical artefacts. Specifically, data normalization included backgroundcorrectionand subsetquantile normalizationusing the pipelinedescribed by Touleimat and Tost[39] and imple- mentedinthewatermelonRpackage[29].

2.3.Statisticalanalyses

Associations between DNA methylation and 25(OH)D were testedusingproceduresandcovariatesubsetsidenticaltothose

usedfortheMoBastudy. Theonlyexceptionwas thatmaternal plasmafolatewasomittedasithasnotbeenmeasuredinALSPAC.

Due to potentially lingering batch effects present following normalization,additionalanalyseswereperformedthatincluded covariatesgeneratedusingindependentsurrogatevariableanaly- sis(ISVA)[40].Twoversionswereconsideredcalled‘isva0’and

‘isva1’.In‘isva0’,ISVAwasappliedtothe25(OH)DlevelsandDNA methylation data. In ‘isva1’, ISVA was applied as in ‘isva0’ but additionallyallcovariates,abatchvariable(sampleplate),andall

‘isva0’surrogatevariableswereincludedasinputforgenerating surrogatevariables.Theresults‘isva0’/’isva1’weremeta-analyzed withresultsfromthecrude/fullMoBamodels.

Fig.3.MoBaregressioncoefficientestimateconfidenceintervalstypicallycontainzero.EstimatedslopebetweenDNAmethylationlevelsofoffspringCpGsitesandmaternal vitaminDlevelsfromthecrudemodelfor4candidategenesintheMoBastudy.ThehorizontalaxisrepresentsthegenomicpositionsoftheCpGs,whiletheverticalaxes representslopeestimates.Theverticallinesrepresent1.96estimatedstandarderrorfortheregressioncoefficient.

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3.Results

Therewasnoassociationbetweenmid-pregnancy25(OH)Dand cordblood DNAmethylation atany single site ontheIllumina HumanMethylation450 BeadChip among the 819 mother and child-pairsinMoBaandthe597motherandchild-pairsinALSPAC (atFDR<0.05;473,731tests).Adjustmentforpotentialconfound- ingvariables(SeeTable1,aswellastheMaterialsandMethods section)andcell-typeestimationsaswellasameta-analysis,based on Fisher's method, comprising results from both MoBa and ALSPACcohortsdidnotresultinanyassociationbetweenmaternal 25(OH)DlevelsandDNAmethylationinoffspring(atFDR<0.05;

473,731tests). The 1000strongest associations areprovided in SupplementaryInformationfile1.Regressionestimatestendedto

be very small, and all p-values were greater than 0.05 after correctionformultipletests(FDR>0.2,Bonferroniadjustedp>0.2, 473731tests).Fig.1showsQQ-andvolcanoplotsforbothMoBa andALSPACcohortsbasedoncoefficientestimatesandp-valuesfor 473731CpGprobes.Fig.2 showsthelackofagreement ineffect sizes in MoBa and ALSPAC for the top 20 meta-analyzed associations. Informationregarding maternalcirculating25(OH) Dlevelsandothercovariatesusedthroughoutthestudycanbe foundinTable1.

Furthermore, detailed analysisof CpG’s linkedto thefoura prioridefined candidategenes(CYP24A1,CYP27B1, CYP27A1 and CYP2R1) yielded weak associations with very small regression coefficient estimates(Fig.3; FDR>0.6 for 56 tests;see Supple- mentary information File 2). Repeating theanalysis within the Fig.4.ALSPACregressioncoefficientestimateconfidenceintervalstypicallycontainzero.EstimatedslopebetweenmethylationlevelsofoffspringCpGsitesandmaternal vitaminDlevelsfromthecrudemodelfor4candidategenesintheALSPACstudy.ThehorizontalaxisrepresentsthegenomicpositionsoftheCpGs,whiletheverticalaxes representslopeestimates.Theverticallinesrepresent1.96estimatedstandarderrorfortheregressioncoefficient.

M.Sudermanetal./JournalofSteroidBiochemistry&MolecularBiology159(2016)102–109 107

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ALSPAC cohort, there were similarly only weak associations between maternal 25(OH)D and cord blood DNA methylation among597motherandchildpairsbothatthegenomewideandat thefourcandidateloci(Fig.4).

4.Discussion

Weexploredthepotentialinfluenceofmaternalmid-pregnan- cy25(OH)DonfetalDNA methylationusingtheIllumina450K BeadChip.DespitetheexistinghypothesisthatmaternalvitaminD statusmayinfluenceoffspringhealth[41],wefoundnoevidence for any DNA methylation based effect in cord blood, either genome-wideorinfourcandidategenes.

Thestrengthofourstudyisthelargesamplesizefromtwowell- characterized cohorts with 25(OH)D status and genome-wide IlluminaHumanMethylation450kdataavailableforatotalof1416 mother and child-pairs. Despite the fact that the Illumina HumanMethylation450 BeadChip only covers 485512CpG sites outofapossible28million,mostofthetargetedsitesarefoundin the promoter region [42] which is the predominant region reportedtoinfluencegeneexpressionwithregardstocirculating 25(OH)Dlevels[19,43,44].EpigeneticeffectsofmaternalvitaminD levelsonoffspringmethylomescanneverthelessnotbeexcluded;

theCpG’sintheneighborhoodofthecandidategenes,asmapped bytheIlluminaHumanMethylation450BeadChip,maynotbethe sameastheonesreportedfromotherstudies.Althoughthesample size is relatively largecompared to previous DNA methylation studies,itmaypossiblybetoosmall todetectweakepigenetic effects.

Our analysisinboth cohortswas limitedtocordbloodDNA methylation.ItispossiblethatDNAmethylationlevelsarestrongly affectedbymaternal25(OH)Dlevelsinsomeothertissue.Analysis wascomplicatedbythefactthatcordbloodiscomposedofseveral differentfluctuatingcelltypes,eachwiththeirowndistinctDNA methylationprofiles.Weattemptedtocontrolforthisbyincluding estimates of cell type proportions in regression models [32].

Althoughthisapproachisnotideal,itiscurrentlytheonlyfeasible solution[45].Wedidnotobservestrongassociationswith25(OH) Dusingregressionmodelsthatincludednorexcludedcellcount estimates.

We are not aware of any previously published studies of maternal25(OH)DandcordbloodDNAmethylation.However,a fewotherstudieshaveexploredrelationshipsbetweenvitaminD supplementationorcirculating25(OH)Dandmethylationatafew CpGsitesintwotofourcandidategenesinadults[18,46],andone genome-wideDNAmethylationstudyexploredassociationwith vitaminDdeficiencyinAfricanchildren[17].

GiventhatvitaminDstatusfluctuatesthroughoutpregnancy,it ispossiblethatthefetusismoresensitivetovitaminDlevelsat certaingestationalperiods[6].IntheMoBastudy,measurements weretakenaround18weeksgestation,andintheALSPACstudy theyweremeasuredthroughoutpregnancybutnormalizedto28 weeks gestation.It is therefore possible that measurements at othertimepointsmighthaveprovidedstrongerassociationswith cordblood DNA methylation. Hopefully future studies will be designedtosystematicallyinvestigatetiming.

5.Conclusions

WefoundnostrongassociationsbetweenDNAmethylationin neonatalgenomesandmaternalplasma25(OH)Dconcentration.

Furtherscrutinyofasetofspecificcandidategenesdidnotindicate anyassociation.Ourresultssuggestthatsimilarlypoweredstudies ofmaternal25(OH)DinrelationtocordbloodDNAmethylation with the Illumina HumanMethylation450 BeadChip will be

unlikely to identify true associations, if they exist. Any future studyshouldutilizeDNAmethylationprofilesofalternativecell types, expanded genomic coverage, larger sample sizes, or measurementsof25(OH)Datdifferentgestationaltimepoints.

Acknowledgements

For MoBa this research was supported [in part] by the Intramural Research Program of the NIH, National Instituteof Environmental Health Sciences (Z01-ES-49019). The Norwegian Mother andChild CohortStudyis supportedbytheNorwegian MinistryofHealthand theMinistryofEducationand Research, NIH/NIEHS(contractno.N01-ES-75558),NIH/NINDS(grantno.1 UO1NS 047537-01)and theNorwegianResearchCouncil/FUGE (grantno.151918/S10),and thepresentstudybytheNorwegian Research Council/Human Biobanks and Health (grant number 221097). We are grateful to all families participating in the NorwegianMotherandChildCohortStudy.

ARIESwasfundedbytheBBSRC(BBI025751/1andBB/I025263/

1).CoreprogrammesupportforALSPACisprovidedbytheMedical Research Council (MRC) and the Wellcome Trust (Grant ref:

102215/2/13/1)andtheUniversityofBristol.ARIESismaintained undertheauspicesoftheMRCIntegrativeEpidemiologyUnitatthe UniversityofBristol(MC_UU_12013/2andMC_UU_12013/8).We aregratefultoallthefamilieswhotookpartintheALSPACstudy, themidwives for theirhelp in recruiting them, and thewhole ALSPACteam,whichincludesinterviewers,computerandlabora- torytechnicians,clericalworkers,researchscientists,volunteers, managers,receptionistsandnurses.

AppendixA.Supplementarydata

Supplementarydataassociatedwiththisarticlecanbefound,in the online version, at http://dx.doi.org/10.1016/j.

jsbmb.2016.03.005.

References

[1]D.Berry,E.Hyppønen,DeterminantsofvitaminDstatus:focusongenetic variations,Curr.Opin.Nephrol.Hypertens.20(4)(2011)331–336.

[2]G.Jones,S.A.Strugnell,H.F.DeLuca,Currentunderstandingofthemolecular actionsofvitaminD,Physiol.Rev.78(4)(1998)1193–1231.

[3]P.Pludowski,M.F.Holick,S.Pilz,C.L.Wagner,B.W.Hollis,W.B.Grant,Y.

Shoenfeld,E.Lerchbaum,D.J.Llewellyn,K.Kienreich,VitaminDeffectson musculoskeletalhealth,immunity,autoimmunity,cardiovasculardisease, cancer,fertility,pregnancy,dementiaandmortality—areviewofrecent evidence,Autoimmun.Rev.12(10)(2013)976–989.

[4]E.Theodoratou,I.Tzoulaki,L.Zgaga,J.P.Ioannidis,VitaminDandmultiple healthoutcomes:umbrellareviewofsystematicreviewsandmeta-analysesof observationalstudiesandrandomisedtrials,BMJ348(2014)g2035.

[5]R.Bouillon,N.M.VanSchoor,E.Gielen,S.Boonen,C.Mathieu,D.

Vanderschueren,P.Lips,OptimalvitaminDstatus:acriticalanalysisonthe basisofevidence-basedmedicine,J.Clin.Endocrinol.Metab.98(8)(2013) E1283–1304.

[6]P.M.Brannon,M.F.Picciano,VitaminDinpregnancyandlactationinhumans, Annu.Rev.Nutr.31(2011)89–115.

[7]M.K.Javaid,S.R.Crozier,N.C.Harvey,C.R.Gale,E.M.Dennison,B.J.Boucher,N.K.

Arden,K.M.Godfrey,C.Cooper,MaternalvitaminDstatusduringpregnancy andchildhoodbonemassatage9years:alongitudinalstudy,Lancet367 (9504)(2006)36–43.

[8]A.A.Beckhaus,L.Garcia-Marcos,E.Forno,R.M.Pacheco-Gonzalez,J.C.Celedon, J.A.Castro-Rodriguez,Maternalnutritionduringpregnancyandriskofasthma, wheeze,andatopicdiseasesduringchildhood:asystematicreviewandmeta- analysis,Allergy70(12)(2015)1588–1604.

[9]I.M.Sørensen,G.Joner,P.A.Jenum,A.Eskild,P.A.Torjesen,L.C.Stene,Maternal serumlevelsof25-hydroxy-vitaminDduringpregnancyandriskoftype1 diabetesintheoffspring,Diabetes61(1)(2012)175–178.

[10]H.T.Christesen,C.Elvander,R.F.Lamont,J.S.Jørgensen,TheimpactofvitaminD inpregnancyonextraskeletalhealthinchildren:asystematicreview,Acta Obstet.Gynecol.Scand.91(12)(2012)1368–1380.

[11]N.C.Harvey,C.Holroyd,G.Ntani,K.Javaid,P.Cooper,R.Moon,Z.Cole,T.Tinati, K.Godfrey,E.Dennison,etal.,VitaminDsupplementationinpregnancy:a systematicreview,HealthTechnol.Assess.18(45)(2014)1–190.

(8)

[12] B.L.Chawes,K.Bonnelykke,J.Stokholm,N.H.Vissing,E.Bjarnadottir,A.M.

Schoos,H.M.Wolsk,T.M.Pedersen,R.K.Vinding,S.Thorsteinsdottir,etal., EffectofvitaminD3supplementationduringpregnancyonriskofpersistent wheezeintheoffspring:arandomizedclinicaltrial,JAMA315(4)(2016)353–

361.

[13]A.A.Litonjua,V.J.Carey,N.Laranjo,B.J.Harshfield,T.F.McElrath,G.T.O’Connor, M.Sandel,R.E.IversonJr.,A.Lee-Paritz,R.C.Strunk,etal.,Effectofprenatal supplementationwithvitaminDonasthmaorrecurrentwheezinginoffspring byage3years:theVDAARTrandomizedclinicaltrial,JAMA315(4)(2016) 362–370.

[14]B.Hanley,J.Dijane,M.Fewtrell,A.Grynberg,S.Hummel,C.Junien,B.Koletzko, S.Lewis,H.Renz,M.Symonds,etal.,Metabolicimprinting,programmingand epigenetics—areviewofpresentprioritiesandfutureopportunities,Br.J.Nutr.

104(1)(2010)S1–S25.

[15]C.Carlberg,S.Seuter,S.Heikkinen,Thefirstgenome-wideviewofvitaminD receptorlocationsandtheirmechanisticimplications,AnticancerRes.32(1) (2012)271–282.

[16]I.S.Fetahu,J.Hobaus,E.Kallay,VitaminDandtheepigenome,Front.Physiol.5 (2014)164.

[17]H.Zhu,X.Wang,H.Shi,S.Su,G.A.Harshfield,B.Gutin,H.Snieder,Y.Dong,A genome-widemethylationstudyofseverevitaminDdeficiencyinAfrican Americanadolescents,J.Pediatr.1009(2013)e1001.

[18]M.Wjst,I.Heimbeck,D.Kutschke,K.Pukelsheim,Epigeneticregulationof vitaminDconvertingenzymes,J.SteroidBiochem.Mol.Biol.121(1–2)(2010) 80–83.

[19]Y.Zhou,L.J.Zhao,X.Xu,A.Ye,D.Travers-Gustafson,B.Zhou,H.W.Wang,W.

Zhang,L.LeeHamm,H.W.Dengetal,DNAmethylationlevelsofCYP2R1and CYP24A1predictvitaminDresponsevariation,J.SteroidBiochem.Mol.Biol.

144(PtA)(2014)207–214.

[20]P.Magnus,L.M.Irgens,K.Haug,W.Nystad,R.Skjaerven,C.Stoltenberg,G.

MoBaStudy,Cohortprofile:theNorwegianMotherandChildCohortStudy (MoBa),Int.J.Epidemiol.35(5)(2006)1146–1150.

[21] A.Fraser,C.Macdonald-Wallis,K.Tilling,A.Boyd,J.Golding,G.DaveySmith,J.

Henderson,J.Macleod,L.Molloy,A.Ness,etal.,Cohortprofile:theavon longitudinalstudyofparentsandchildren:aLSPACmotherscohort,Int.J.

Epidemiol.42(1)(2013)97–110.

[22]R.M.Nilsen,S.E.Vollset,H.K.Gjessing,R.Skjaerven,K.K.Melve,P.Schreuder,E.

R.Alsaker,K.Haug,A.K.Daltveit,P.Magnus,Self-selectionandbiasinalarge prospectivepregnancycohortinNorway,Paediatr.Perinat.Epidemiol.23(6) (2009)597–608.

[23]P.Schreuder,E.Alsaker,TheNorwegianMotherandChildCohortStudy (MoBa)—MoBarecruitmentandlogistics,Nor.Epidemiol.24(2014)1–2.

[24]K.S.Rønningen,L.Paltiel,H.M.Meltzer,R.Nordhagen,K.K.Lie,R.Hovengen,M.

Haugen,W.Nystad,P.Magnus,J.A.Hoppin,ThebiobankoftheNorwegian MotherandChildCohortStudy:aresourceforthenext100years,Eur.J.

Epidemiol.21(8)(2006)619–625.

[25]Ø.Midttun,P.M.Ueland,DeterminationofvitaminsA,DandEinasmall volumeofhumanplasmabyahigh-throughputmethodbasedonliquid chromatography/tandemmassspectrometry,RapidCommun.MassSpectrom.

25(14)(2011)1942–1948.

[26]B.R.Joubert,S.E.Haberg,R.M.Nilsen,X.Wang,S.E.Vollset,S.K.Murphy,Z.

Huang,C.Hoyo,O.Midttun,L.A.Cupul-Uicab,etal.,450Kepigenome-wide scanidentifiesdifferentialDNAmethylationinnewbornsrelatedtomaternal smokingduringpregnancy,Environ.HealthPerspect.120(10)(2012)1425–

1431.

[27] M.C.Wu,B.R.Joubert,P.F.Kuan,S.E.Haberg,W.Nystad,S.D.Peddada,S.J.

London,Asystematicassessmentofnormalizationapproachesforthe Infinium450Kmethylationplatform,Epigenetics9(2)(2014)318–329.

[28]A.E.Teschendorff,F.Marabita,M.Lechner,T.Bartlett,J.Tegner,D.Gomez- Cabrero,S.Beck,Abeta-mixturequantilenormalizationmethodforcorrecting probedesignbiasinIlluminaInfinium450kDNAmethylationdata, Bioinformatics29(2)(2013)189–196.

[29]R.Pidsley,C.C.Y.Wong,M.Volta,K.Lunnon,J.Mill,L.C.Schalkwyk,Adata- drivenapproachtopreprocessingIllumina450Kmethylationarraydata,BMC Genom.14(2013)293.

[30]V.Yohai,W.Stahel,R.Zamar,AProcedureforRobustEstimationandInference inLinearRegression,vol.34,Springer,NewYork,1991,pp.365–374.

[31]M.J.Aryee,A.E.Jaffe,H.Corrada-Bravo,C.Ladd-Acosta,A.P.Feinberg,K.D.

Hansen,R.A.Irizarry,Minfi:aflexibleandcomprehensivebioconductor packagefortheanalysisofinfiniumDNAmethylationmicroarrays, Bioinformatics(2016)2014.

[32]E.A.Houseman,W.P.Accomando,D.C.Koestler,B.C.Christensen,C.J.Marsit,H.

H.Nelson,J.K.Wiencke,K.T.Kelsey,DNAmethylationarraysassurrogate measuresofcellmixturedistribution,BMCBioinf.13(2012)86.

[33]J.Yang,M.N.Weedon,S.Purcell,G.Lettre,K.Estrada,C.J.Willer,A.V.Smith,E.

Ingelsson,J.R.O’Connell,M.Mangino,etal.,Genomicinflationfactorsunder polygenicinheritance,Eur.J.Hum.Genet.19(7)(2011)807–812.

[34]J.D.Storey,R.Tibshirani,Statisticalsignificanceforgenomewidestudies,Proc.

Natl.Acad.Sci.U.S.A.100(16)(2003)9440–9445.

[35]R.A.Fisher,StatisticalMethodsforResearchWorkers,GenesisPublishingPvt Ltd.,1925.

[36]A.Boyd,J.Golding,J.Macleod,D.A.Lawlor,A.Fraser,J.Henderson,L.Molloy,A.

Ness,S.Ring,G.DaveySmith,Cohortprofile:the‘childrenofthe90s’—the indexoffspringoftheAvonLongitudinalStudyofParentsandChildren,Int.J.

Epidemiol.42(1)(2013)111–127.

[37]C.L.Relton,T.Gaunt,W.McArdle,K.Ho,A.Duggirala,H.Shihab,G.Woodward, O.Lyttleton,D.M.Evans,W.Reik,etal.,Dataresourceprofile:accessible resourceforintegratedepigenomicstudies(ARIES),Int.J.Epidemiol.44(4) (2015)1181–1190.

[38]D.A.Lawlor,A.K.Wills,A.Fraser,A.Sayers,W.D.Fraser,J.H.Tobias,Association ofmaternalvitaminDstatusduringpregnancywithbone-mineralcontentin offspring:aprospectivecohortstudy,Lancet381(9884)(2013)2176–2183.

[39]N.Touleimat,J.Tost,CompletepipelineforInfinium(1)HumanMethylation 450KBeadChipdataprocessingusingsubsetquantilenormalizationfor accurateDNAmethylationestimation,Epigenomics4(3)(2012)325–341.

[40]A.E.Teschendorff,J.Zhuang,M.Widschwendter,Independentsurrogate variableanalysistodeconvolveconfoundingfactorsinlarge-scalemicroarray profilingstudies,Bioinformatics27(11)(2011)1496–1505.

[41]A.L.Ponsonby,R.M.Lucas,S.Lewis,J.Halliday,VitaminDstatusduring pregnancyandaspectsofoffspringhealth,Nutrients2(3)(2010)389–407.

[42]N.Ulahannan,J.Greally,Genome-wideassaysthatidentifyandquantify modifiedcytosinesinhumandiseasestudies,Epigenet.Chromatin8(1)(2015) 5.

[43]B.Novakovic,J.C.Galati,A.Chen,R.Morley,J.M.Craig,R.Saffery,Maternal vitaminDpredominatesovergeneticfactorsindeterminingneonatal circulatingvitaminDconcentrations,Am.J.Clin.Nutr.96(1)(2012)188–195.

[44]J.Sandoval,H.Heyn,S.Moran,J.Serra-Musach,M.A.Pujana,M.Bibikova,M.

Esteller,ValidationofaDNAmethylationmicroarrayfor450,000CpGsitesin thehumangenome,Epigenetics6(6)(2011)692–702.

[45]A.E.Jaffe,R.A.Irizarry,Accountingforcellularheterogeneityiscriticalin epigenome-wideassociationstudies,GenomeBiol.15(2)(2014)R31.

[46]J.Zou,C.Lippert,D.Heckerman,M.Aryee,J.Listgarten,Epigenome-wide associationstudieswithouttheneedforcell-typecomposition,Nat.Methods 11(3)(2014)309–311.

M.Sudermanetal./JournalofSteroidBiochemistry&MolecularBiology159(2016)102–109 109

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