DNA methylation differences at birth after conception through ART.
ART
DNA methylation
ICSI
IVF
cord blood
epigenetics
epigenome-wide association study
Journal
Human reproduction (Oxford, England)
ISSN: 1460-2350
Titre abrégé: Hum Reprod
Pays: England
ID NLM: 8701199
Informations de publication
Date de publication:
01 01 2021
01 01 2021
Historique:
received:
27
05
2020
revised:
21
08
2020
pubmed:
24
11
2020
medline:
26
5
2021
entrez:
23
11
2020
Statut:
ppublish
Résumé
Is there a relation between ART and DNA methylation (DNAm) patterns in cord blood, including any differences between IVF and ICSI? DNAm at 19 CpGs was associated with conception via ART, with no difference found between IVF and ICSI. Prior studies on either IVF or ICSI show conflicting outcomes, as both widespread effects on DNAm and highly localized associations have been reported. No study on both IVF and ICSI and genome-wide neonatal DNAm has been performed. This was a cross-sectional study comprising 87 infants conceived with IVF or ICSI and 70 conceived following medically unassisted conception. The requirement for inclusion in the study was an understanding of the Swedish language and exclusion was the use of donor gametes. Participants were from the UppstART study, which was recruited from fertility and reproductive health clinics, and the Born into Life cohort, which is recruited from the larger LifeGene study. We measured DNAm from DNA extracted from cord blood collected at birth using a micro-array (450k array). Group differences in DNAm at individual CpG dinucleotides (CpGs) were determined using robust linear models and post-hoc Tukey's tests. We found no association of ART conception with global methylation levels, imprinted loci and meta-stable epialleles. In contrast, we identify 19 CpGs at which DNAm was associated with being conceived via ART (effect estimates: 0.5-4.9%, PFDR < 0.05), but no difference was found between IVF and ICSI. The associated CpGs map to genes related to brain function/development or genes connected to the plethora of conditions linked to subfertility, but functional annotation did not point to any likely functional consequences. We measured DNAm in cord blood and not at later ages or in other tissues. Given the number of tests performed, our study power is limited and the findings need to be replicated in an independent study. We find that ART is associated with DNAm differences in cord blood when compared to non-ART samples, but these differences are limited in number and effect size and have unknown functional consequences in adult blood. We did not find indications of differences between IVF and ICSI. E.W.T. was supported by a VENI grant from the Netherlands Organization for Scientific Research (91617128) and JPI-H2020 Joint Programming Initiative a Healthy Diet for a Healthy Life (JPI HDHL) under proposal number 655 (PREcisE Project) through ZonMw (529051023). Financial support was provided from the European Union's Seventh Framework Program IDEAL (259679), the Swedish Research Council (K2011-69X-21871-01-6, 2011-3060, 2015-02434 and 2018-02640) and the Strategic Research Program in Epidemiology Young Scholar Awards, Karolinska Institute (to A.N.I.) and through the Swedish Initiative for Research on Microdata in the Social And Medical Sciences (SIMSAM) framework grant no 340-2013-5867, grants provided by the Stockholm County Council (ALF-projects), the Strategic Research Program in Epidemiology at Karolinska Institutet and the Swedish Heart-Lung Foundation and Danderyd University Hospital (Stockholm, Sweden). The funders had no role in study design, data collection, analysis, decision to publish or preparation of the manuscript. The authors declare no competing interests. N/A.
Identifiants
pubmed: 33227132
pii: 5998970
doi: 10.1093/humrep/deaa253
pmc: PMC7801794
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
248-259Subventions
Organisme : Medical Research Council
ID : MR/S03658X/1
Pays : United Kingdom
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.
Références
Int J Epidemiol. 2015 Aug;44(4):1181-90
pubmed: 25991711
Bioinformatics. 2018 Jun 15;34(12):2142-2143
pubmed: 29420690
Eur J Epidemiol. 2011 Jan;26(1):67-77
pubmed: 21104112
Hum Reprod. 2017 Aug 1;32(8):1761-1769
pubmed: 28575352
BMC Bioinformatics. 2016 Mar 08;17:120
pubmed: 26956433
Bioessays. 2017 Nov;39(11):
pubmed: 28940661
Nat Commun. 2019 Apr 23;10(1):1893
pubmed: 31015461
J Neurosci. 2016 Feb 3;36(5):1564-76
pubmed: 26843638
Nat Genet. 2003 Mar;33 Suppl:245-54
pubmed: 12610534
Bioinformatics. 2016 Jan 15;32(2):286-8
pubmed: 26424855
Sci Rep. 2017 Apr 07;7:46207
pubmed: 28387368
Bioessays. 2008 Feb;30(2):156-66
pubmed: 18197594
Bioinformatics. 2014 May 15;30(10):1363-9
pubmed: 24478339
Nat Commun. 2014 Nov 26;5:5592
pubmed: 25424739
J Assist Reprod Genet. 2016 Jan;33(1):3-8
pubmed: 26634257
Epigenomics. 2016 Jul;8(7):881-4
pubmed: 27366826
Fertil Steril. 2016 Sep 1;106(3):629-639.e10
pubmed: 27288894
Nat Commun. 2017 Oct 13;8(1):908
pubmed: 29030611
Gene. 2012 Apr 10;497(1):38-44
pubmed: 22306327
Nat Commun. 2016 Feb 10;7:10577
pubmed: 26861414
Cell Rep. 2016 Nov 15;17(8):2101-2111
pubmed: 27851971
Biochim Biophys Acta. 2007 Jul;1773(7):1039-51
pubmed: 17544522
Reprod Biol. 2010 Nov;10(3):241-8
pubmed: 21113205
Int J Epidemiol. 2018 Jun 1;47(3):908-916
pubmed: 29518222
Clin Epigenetics. 2019 Aug 27;11(1):125
pubmed: 31455416
Int J Epidemiol. 2016 Dec 1;45(6):1866-1886
pubmed: 28108528
Epigenetics Chromatin. 2013 Aug 06;6(1):26
pubmed: 23919675
Nat Genet. 2017 Jan;49(1):131-138
pubmed: 27918535
BJOG. 2019 Jan;126(2):209-218
pubmed: 29740927
Int J Epidemiol. 2012 Feb;41(1):74-8
pubmed: 22269254
Mech Dev. 2008 Sep-Oct;125(9-10):777-85
pubmed: 18634873
Br J Nutr. 2008 Aug;100(2):278-82
pubmed: 18186951
PLoS One. 2012;7(5):e37933
pubmed: 22666415
BMC Genet. 2018 Jan 22;19(1):9
pubmed: 29357837
Int J Epidemiol. 2016 Dec 1;45(6):1887-1894
pubmed: 28089956
Development. 2016 Mar 1;143(5):787-98
pubmed: 26811378
Fertil Steril. 2010 May 15;93(8):2729-33
pubmed: 20403596
Genome Med. 2017 Mar 24;9(1):28
pubmed: 28340599
Hypertension. 2019 Aug;74(2):375-383
pubmed: 31230546
Fertil Steril. 2016 Sep 1;106(3):710-716.e2
pubmed: 27187051
Biol Reprod. 2008 Oct;79(4):618-23
pubmed: 18562706
Genome Biol. 2014 Dec 03;15(12):503
pubmed: 25599564
Epigenetics. 2015;10(11):1024-32
pubmed: 26457534
Behav Brain Res. 2018 Oct 15;352:46-61
pubmed: 28963042
Int J Epidemiol. 2016 Dec 1;45(6):1787-1808
pubmed: 27694566
Fertil Steril. 2016 Jan;105(1):73-85.e1-6
pubmed: 26453266
Hum Reprod Update. 2014 Nov-Dec;20(6):840-52
pubmed: 24961233
Genome Biol. 2018 May 29;19(1):64
pubmed: 29843789
Bioinformatics. 2014 Dec 1;30(23):3435-7
pubmed: 25147358
Nucleic Acids Res. 2017 Sep 6;45(15):8697-8711
pubmed: 28911103
Sci Adv. 2018 Jul 11;4(7):eaat2624
pubmed: 30009262
Sci Adv. 2018 Jan 31;4(1):eaao4364
pubmed: 29399631
PLoS Genet. 2015 Oct 22;11(10):e1005583
pubmed: 26492326
Acta Paediatr. 2018 Jun;107(6):1003-1010
pubmed: 29385276
Eur J Obstet Gynecol Reprod Biol. 2016 Dec;207:129-136
pubmed: 27846448
Hum Mol Genet. 2019 Feb 1;28(3):372-385
pubmed: 30239726
Am J Hum Genet. 2016 Apr 7;98(4):680-96
pubmed: 27040690
Epigenetics Chromatin. 2011 Jul 13;4(1):10
pubmed: 21749726
NPJ Sci Learn. 2018 Mar 23;3:7
pubmed: 30631468
Nat Commun. 2019 Sep 2;10(1):3922
pubmed: 31477727
Epigenetics. 2013 Oct;8(10):1069-79
pubmed: 23917818
Epigenetics. 2013 Feb;8(2):203-9
pubmed: 23314698
Bioinformatics. 2014 Aug 15;30(16):2360-6
pubmed: 24794928
BMJ Open. 2019 Aug 28;9(8):e028866
pubmed: 31467051
Reprod Sci. 2017 Jul;24(7):996-1004
pubmed: 28090815
Nucleic Acids Res. 2017 Feb 28;45(4):e22
pubmed: 27924034
Hum Mol Genet. 2017 Oct 15;26(20):4067-4085
pubmed: 29016858
Epigenetics. 2015;10(6):474-83
pubmed: 25580569
Fertil Steril. 2017 Mar;107(3):622-631.e5
pubmed: 28104241