Early gestation as the critical time-window for changes in the prenatal environment to affect the adult human blood methylome
The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in rela...
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Published in | International journal of epidemiology Vol. 44; no. 4; pp. 1211 - 1223 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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England
Oxford University Press
01.08.2015
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Abstract | The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in relation to perturbations in nutrition across all gestation periods.
We used the quasi-experimental setting of the Dutch famine of 1944-45 to evaluate the impact of famine exposure during specific 10-week gestation periods, or during any time in gestation, on genome-wide DNA methylation levels at age ∼ 59 years. In addition, we evaluated the impact of exposure during a shorter pre- and post-conception period. DNA methylation was assessed using the Illumina 450k array in whole blood among 422 individuals with prenatal famine exposure and 463 time- or sibling-controls without prenatal famine exposure.
Famine exposure during gestation weeks 1-10, but not weeks 11-20, 21-30 or 31-delivery, was associated with an increase in DNA methylation of CpG dinucleotides cg20823026 (FAM150B), cg10354880 (SLC38A2) and cg27370573 (PPAP2C) and a decrease of cg11496778 (OSBPL5/MRGPRG) (P < 5.9 × 10(-7), PFDR < 0.031). There was an increase in methylation of TACC1 and ZNF385A after exposure during any time in gestation (P < 2.0 × 10(-7), PFDR = 0.034) and a decrease of cg23989336 (TMEM105) after exposure around conception. These changes represent a shift of 0.3-0.6 standard deviations and are linked to genes involved in growth, development and metabolism.
Early gestation, and not mid or late gestation, is identified as a critical time-period for adult DNA methylation changes in whole blood after prenatal exposure to famine. |
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AbstractList | The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in relation to perturbations in nutrition across all gestation periods.BACKGROUNDThe manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in relation to perturbations in nutrition across all gestation periods.We used the quasi-experimental setting of the Dutch famine of 1944-45 to evaluate the impact of famine exposure during specific 10-week gestation periods, or during any time in gestation, on genome-wide DNA methylation levels at age ∼ 59 years. In addition, we evaluated the impact of exposure during a shorter pre- and post-conception period. DNA methylation was assessed using the Illumina 450k array in whole blood among 422 individuals with prenatal famine exposure and 463 time- or sibling-controls without prenatal famine exposure.METHODSWe used the quasi-experimental setting of the Dutch famine of 1944-45 to evaluate the impact of famine exposure during specific 10-week gestation periods, or during any time in gestation, on genome-wide DNA methylation levels at age ∼ 59 years. In addition, we evaluated the impact of exposure during a shorter pre- and post-conception period. DNA methylation was assessed using the Illumina 450k array in whole blood among 422 individuals with prenatal famine exposure and 463 time- or sibling-controls without prenatal famine exposure.Famine exposure during gestation weeks 1-10, but not weeks 11-20, 21-30 or 31-delivery, was associated with an increase in DNA methylation of CpG dinucleotides cg20823026 (FAM150B), cg10354880 (SLC38A2) and cg27370573 (PPAP2C) and a decrease of cg11496778 (OSBPL5/MRGPRG) (P < 5.9 × 10(-7), PFDR < 0.031). There was an increase in methylation of TACC1 and ZNF385A after exposure during any time in gestation (P < 2.0 × 10(-7), PFDR = 0.034) and a decrease of cg23989336 (TMEM105) after exposure around conception. These changes represent a shift of 0.3-0.6 standard deviations and are linked to genes involved in growth, development and metabolism.RESULTSFamine exposure during gestation weeks 1-10, but not weeks 11-20, 21-30 or 31-delivery, was associated with an increase in DNA methylation of CpG dinucleotides cg20823026 (FAM150B), cg10354880 (SLC38A2) and cg27370573 (PPAP2C) and a decrease of cg11496778 (OSBPL5/MRGPRG) (P < 5.9 × 10(-7), PFDR < 0.031). There was an increase in methylation of TACC1 and ZNF385A after exposure during any time in gestation (P < 2.0 × 10(-7), PFDR = 0.034) and a decrease of cg23989336 (TMEM105) after exposure around conception. These changes represent a shift of 0.3-0.6 standard deviations and are linked to genes involved in growth, development and metabolism.Early gestation, and not mid or late gestation, is identified as a critical time-period for adult DNA methylation changes in whole blood after prenatal exposure to famine.CONCLUSIONEarly gestation, and not mid or late gestation, is identified as a critical time-period for adult DNA methylation changes in whole blood after prenatal exposure to famine. The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in relation to perturbations in nutrition across all gestation periods. We used the quasi-experimental setting of the Dutch famine of 1944-45 to evaluate the impact of famine exposure during specific 10-week gestation periods, or during any time in gestation, on genome-wide DNA methylation levels at age ∼ 59 years. In addition, we evaluated the impact of exposure during a shorter pre- and post-conception period. DNA methylation was assessed using the Illumina 450k array in whole blood among 422 individuals with prenatal famine exposure and 463 time- or sibling-controls without prenatal famine exposure. Famine exposure during gestation weeks 1-10, but not weeks 11-20, 21-30 or 31-delivery, was associated with an increase in DNA methylation of CpG dinucleotides cg20823026 (FAM150B), cg10354880 (SLC38A2) and cg27370573 (PPAP2C) and a decrease of cg11496778 (OSBPL5/MRGPRG) (P < 5.9 × 10(-7), PFDR < 0.031). There was an increase in methylation of TACC1 and ZNF385A after exposure during any time in gestation (P < 2.0 × 10(-7), PFDR = 0.034) and a decrease of cg23989336 (TMEM105) after exposure around conception. These changes represent a shift of 0.3-0.6 standard deviations and are linked to genes involved in growth, development and metabolism. Early gestation, and not mid or late gestation, is identified as a critical time-period for adult DNA methylation changes in whole blood after prenatal exposure to famine. Background: The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in relation to perturbations in nutrition across all gestation periods. Methods: We used the quasi-experimental setting of the Dutch famine of 1944–45 to evaluate the impact of famine exposure during specific 10-week gestation periods, or during any time in gestation, on genome-wide DNA methylation levels at age ∼ 59 years. In addition, we evaluated the impact of exposure during a shorter pre- and post-conception period. DNA methylation was assessed using the Illumina 450k array in whole blood among 422 individuals with prenatal famine exposure and 463 time- or sibling-controls without prenatal famine exposure. Results: Famine exposure during gestation weeks 1–10, but not weeks 11–20, 21–30 or 31-delivery, was associated with an increase in DNA methylation of CpG dinucleotides cg20823026 ( FAM150B ), cg10354880 ( SLC38A2 ) and cg27370573 ( PPAP2C ) and a decrease of cg11496778 ( OSBPL5 / MRGPRG) ( P < 5.9 × 10 −7 , P FDR < 0.031). There was an increase in methylation of TACC1 and ZNF385A after exposure during any time in gestation ( P < 2.0 × 10 −7 , P FDR = 0.034) and a decrease of cg23989336 ( TMEM105 ) after exposure around conception. These changes represent a shift of 0.3–0.6 standard deviations and are linked to genes involved in growth, development and metabolism. Conclusion: Early gestation, and not mid or late gestation, is identified as a critical time-period for adult DNA methylation changes in whole blood after prenatal exposure to famine. |
Author | Suchiman, H Eka D Lumey, LH Heijmans, Bastiaan T Slagboom, P Eline Tobi, Elmar W Stein, Aryeh D Slieker, Roderick C van Zwet, Erik W |
Author_xml | – sequence: 1 givenname: Elmar W surname: Tobi fullname: Tobi, Elmar W – sequence: 2 givenname: Roderick C surname: Slieker fullname: Slieker, Roderick C – sequence: 3 givenname: Aryeh D surname: Stein fullname: Stein, Aryeh D – sequence: 4 givenname: H Eka D surname: Suchiman fullname: Suchiman, H Eka D – sequence: 5 givenname: P Eline surname: Slagboom fullname: Slagboom, P Eline – sequence: 6 givenname: Erik W surname: van Zwet fullname: van Zwet, Erik W – sequence: 7 givenname: Bastiaan T surname: Heijmans fullname: Heijmans, Bastiaan T – sequence: 8 givenname: LH surname: Lumey fullname: Lumey, LH |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25944819$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/j.numecd.2013.10.026 10.1111/j.0006-341X.1999.00997.x 10.1186/1471-2199-11-3 10.1186/1471-2105-13-86 10.1097/EDE.0b013e31825fa230 10.1073/pnas.0504468103 10.1016/j.cell.2009.06.001 10.1074/jbc.M511710200 10.1158/1055-9965.EPI-13-1256 10.1128/MCB.23.15.5293-5300.2003 10.1146/annurev.nutr.27.061406.093705 10.1371/journal.pone.0007845 10.1038/nature12433 10.1038/ncomms4746 10.1038/nature10163 10.1186/s13059-014-0483-2 10.1186/s13059-014-0503-2 10.1083/jcb.201004142 10.1038/nature11232 10.1002/mnfr.201100008 10.4161/epi.6.7.16263 10.1093/hmg/ddu739 10.1002/bies.20700 10.1093/oxfordjournals.epirev.a017923 10.1073/pnas.1412009111 10.1371/journal.pone.0037933 10.1038/nature13544 10.1093/bioinformatics/btu566 10.1093/ije/dyr147 10.1038/nbt.2153 10.1038/nrg3405 10.1101/gr.176586.114 10.1095/biolreprod.108.068213 10.1093/bioinformatics/btu049 10.1038/ncomms6592 10.1093/hmg/ddp353 10.4161/epi.23470 10.1017/S0007114507894438 10.1038/nature09906 10.1093/hmg/ddv013 10.1111/j.2517-6161.1995.tb02031.x 10.1016/j.gene.2011.11.062 10.1093/hmg/ddt464 10.1038/ng1089 10.4161/epi.25578 10.1371/journal.pone.0009237 10.1093/ije/dym126 10.1016/j.cell.2007.06.013 10.3945/jn.109.105536 10.4161/epi.4.8.10265 10.1111/j.1365-2796.2007.01809.x 10.1371/journal.pone.0063812 10.3945/ajcn.2009.28085 10.1093/ije/dyr225 10.1093/bioinformatics/btu316 10.2337/dc10-1024 10.1111/joim.12231 10.1096/fj.14-255240 10.1038/ng.3021 10.1073/pnas.0806560105 10.1093/ajcn/85.3.869 10.1042/bj3630195 10.2217/epi.12.18 10.1002/dvdy.20724 10.1146/annurev-publhealth-031210-101230 10.1186/1756-8935-6-26 10.1038/emboj.2008.76 |
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Keywords | DNA methylation, prenatal, Dutch Famine, Hunger Winter, exposure, nutrition |
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References | 2015093006475013000_44.4.1211.50 2015093006475013000_44.4.1211.51 2015093006475013000_44.4.1211.52 2015093006475013000_44.4.1211.42 2015093006475013000_44.4.1211.43 2015093006475013000_44.4.1211.44 2015093006475013000_44.4.1211.45 2015093006475013000_44.4.1211.46 2015093006475013000_44.4.1211.47 2015093006475013000_44.4.1211.48 2015093006475013000_44.4.1211.49 2015093006475013000_44.4.1211.1 2015093006475013000_44.4.1211.40 2015093006475013000_44.4.1211.41 2015093006475013000_44.4.1211.39 2015093006475013000_44.4.1211.3 2015093006475013000_44.4.1211.31 2015093006475013000_44.4.1211.2 2015093006475013000_44.4.1211.32 2015093006475013000_44.4.1211.5 2015093006475013000_44.4.1211.33 2015093006475013000_44.4.1211.4 2015093006475013000_44.4.1211.34 2015093006475013000_44.4.1211.7 2015093006475013000_44.4.1211.35 2015093006475013000_44.4.1211.6 2015093006475013000_44.4.1211.36 2015093006475013000_44.4.1211.9 2015093006475013000_44.4.1211.37 2015093006475013000_44.4.1211.8 2015093006475013000_44.4.1211.38 2015093006475013000_44.4.1211.70 2015093006475013000_44.4.1211.71 2015093006475013000_44.4.1211.30 2015093006475013000_44.4.1211.28 2015093006475013000_44.4.1211.29 2015093006475013000_44.4.1211.20 2015093006475013000_44.4.1211.64 2015093006475013000_44.4.1211.21 2015093006475013000_44.4.1211.65 2015093006475013000_44.4.1211.22 2015093006475013000_44.4.1211.66 2015093006475013000_44.4.1211.23 2015093006475013000_44.4.1211.67 2015093006475013000_44.4.1211.24 2015093006475013000_44.4.1211.68 2015093006475013000_44.4.1211.25 2015093006475013000_44.4.1211.69 2015093006475013000_44.4.1211.26 2015093006475013000_44.4.1211.27 2015093006475013000_44.4.1211.60 2015093006475013000_44.4.1211.61 2015093006475013000_44.4.1211.62 2015093006475013000_44.4.1211.63 2015093006475013000_44.4.1211.17 2015093006475013000_44.4.1211.18 2015093006475013000_44.4.1211.19 2015093006475013000_44.4.1211.53 2015093006475013000_44.4.1211.10 2015093006475013000_44.4.1211.54 2015093006475013000_44.4.1211.11 2015093006475013000_44.4.1211.55 2015093006475013000_44.4.1211.12 2015093006475013000_44.4.1211.56 2015093006475013000_44.4.1211.13 2015093006475013000_44.4.1211.57 2015093006475013000_44.4.1211.14 2015093006475013000_44.4.1211.58 2015093006475013000_44.4.1211.15 2015093006475013000_44.4.1211.59 2015093006475013000_44.4.1211.16 24781383 - Nat Commun. 2014;5:3746 21677750 - Nature. 2011 Jun 16;474(7351):337-42 17591638 - Int J Epidemiol. 2007 Dec;36(6):1196-204 11315092 - Biometrics. 1999 Dec;55(4):997-1004 12861015 - Mol Cell Biol. 2003 Aug;23(15):5293-300 19923908 - Epigenetics. 2009 Nov 16;4(8):526-31 23975224 - Epigenetics. 2013 Sep;8(9):935-43 25634562 - Hum Mol Genet. 2015 Jun 1;24(11):3021-9 25599564 - Genome Biol. 2014;15(12):503 23314698 - Epigenetics. 2013 Feb;8(2):203-9 22955617 - Nature. 2012 Sep 6;489(7414):75-82 16496324 - Dev Dyn. 2006 Jun;235(6):1638-47 18186951 - Br J Nutr. 2008 Aug;100(2):278-82 23919675 - Epigenetics Chromatin. 2013 Aug 06;6(1):26 17465856 - Annu Rev Nutr. 2007;27:363-88 23817309 - Nat Rev Genet. 2013 Aug;14(8):585-94 24794928 - Bioinformatics. 2014 Aug 15;30(16):2360-6 17344511 - Am J Clin Nutr. 2007 Mar;85(3):869-76 16467304 - J Biol Chem. 2006 Apr 7;281(14):9297-306 24418380 - Nutr Metab Cardiovasc Dis. 2014 May;24(5):483-8 19939982 - Am J Clin Nutr. 2010 Feb;91(2):309-20 20169056 - PLoS One. 2010;5(2):e9237 23925113 - Nature. 2013 Aug 22;500(7463):477-81 23691101 - PLoS One. 2013;8(5):e63812 22781362 - Epidemiology. 2012 Sep;23(5):713-20 11903063 - Biochem J. 2002 Apr 1;363(Pt 1):195-200 24740201 - Cancer Epidemiol Biomarkers Prev. 2014 Jun;23(6):1007-17 22269254 - Int J Epidemiol. 2012 Feb;41(1):74-8 24974849 - Nat Genet. 2014 Aug;46(8):818-25 25145626 - FASEB J. 2014 Nov;28(11):4868-79 12610534 - Nat Genet. 2003 Mar;33 Suppl:245-54 18955703 - Proc Natl Acad Sci U S A. 2008 Nov 4;105(44):17046-9 21441907 - Nature. 2011 May 5;473(7345):43-9 22202639 - Gene. 2012 Feb 15;494(1):36-43 16365304 - Proc Natl Acad Sci U S A. 2005 Dec 27;102(52):19219-24 24605849 - J Intern Med. 2014 Sep;276(3):201-14 24064335 - Hum Mol Genet. 2014 Feb 1;23(3):820-30 22568884 - BMC Bioinformatics. 2012;13:86 20724651 - Diabetes Care. 2010 Nov;33(11):2436-41 25552657 - Hum Mol Genet. 2015 Apr 15;24(8):2201-17 25424739 - Nat Commun. 2014;5:5592 9021310 - Epidemiol Rev. 1996;18(2):158-74 21636975 - Epigenetics. 2011 Jul;6(7):928-36 24478339 - Bioinformatics. 2014 May 15;30(10):1363-9 17444880 - J Intern Med. 2007 May;261(5):412-7 25147358 - Bioinformatics. 2014 Dec 1;30(23):3435-7 22398613 - Nat Biotechnol. 2012 Mar;30(3):224-6 22666415 - PLoS One. 2012;7(5):e37933 25347937 - Genome Biol. 2014;15(10):483 21520493 - Mol Nutr Food Res. 2011 Jul;55(7):1026-35 18197594 - Bioessays. 2008 Feb;30(2):156-66 17719541 - Cell. 2007 Aug 24;130(4):624-37 19656776 - Hum Mol Genet. 2009 Nov 1;18(21):4046-53 25228660 - Genome Res. 2014 Dec;24(12):1905-17 19549753 - J Nutr. 2009 Aug;139(8):1555-61 20078863 - BMC Mol Biol. 2010;11:3 25331893 - Proc Natl Acad Sci U S A. 2014 Nov 4;111(44):15741-5 22690667 - Epigenomics. 2012 Jun;4(3):317-24 19924280 - PLoS One. 2009;4(11):e7845 22422449 - Int J Epidemiol. 2012 Feb;41(1):62-74 18562706 - Biol Reprod. 2008 Oct;79(4):618-23 19563753 - Cell. 2009 Jun 26;137(7):1194-211 21220512 - J Cell Biol. 2011 Jan 10;192(1):121-35 25079557 - Nature. 2014 Jul 31;511(7511):606-10 18418387 - EMBO J. 2008 May 21;27(10):1481-90 21219171 - Annu Rev Public Health. 2011;32:237-62 |
References_xml | – ident: 2015093006475013000_44.4.1211.26 doi: 10.1016/j.numecd.2013.10.026 – ident: 2015093006475013000_44.4.1211.37 doi: 10.1111/j.0006-341X.1999.00997.x – ident: 2015093006475013000_44.4.1211.53 doi: 10.1186/1471-2199-11-3 – ident: 2015093006475013000_44.4.1211.35 doi: 10.1186/1471-2105-13-86 – ident: 2015093006475013000_44.4.1211.36 doi: 10.1097/EDE.0b013e31825fa230 – ident: 2015093006475013000_44.4.1211.44 doi: 10.1073/pnas.0504468103 – ident: 2015093006475013000_44.4.1211.48 doi: 10.1016/j.cell.2009.06.001 – ident: 2015093006475013000_44.4.1211.46 doi: 10.1074/jbc.M511710200 – ident: 2015093006475013000_44.4.1211.69 doi: 10.1158/1055-9965.EPI-13-1256 – ident: 2015093006475013000_44.4.1211.62 doi: 10.1128/MCB.23.15.5293-5300.2003 – ident: 2015093006475013000_44.4.1211.6 doi: 10.1146/annurev.nutr.27.061406.093705 – ident: 2015093006475013000_44.4.1211.18 doi: 10.1371/journal.pone.0007845 – ident: 2015093006475013000_44.4.1211.33 doi: 10.1038/nature12433 – ident: 2015093006475013000_44.4.1211.16 doi: 10.1038/ncomms4746 – ident: 2015093006475013000_44.4.1211.54 doi: 10.1038/nature10163 – ident: 2015093006475013000_44.4.1211.65 doi: 10.1186/s13059-014-0483-2 – ident: 2015093006475013000_44.4.1211.30 doi: 10.1186/s13059-014-0503-2 – ident: 2015093006475013000_44.4.1211.45 doi: 10.1083/jcb.201004142 – ident: 2015093006475013000_44.4.1211.56 doi: 10.1038/nature11232 – ident: 2015093006475013000_44.4.1211.11 doi: 10.1002/mnfr.201100008 – ident: 2015093006475013000_44.4.1211.17 doi: 10.4161/epi.6.7.16263 – ident: 2015093006475013000_44.4.1211.19 doi: 10.1093/hmg/ddu739 – ident: 2015093006475013000_44.4.1211.60 doi: 10.1002/bies.20700 – ident: 2015093006475013000_44.4.1211.2 doi: 10.1093/oxfordjournals.epirev.a017923 – ident: 2015093006475013000_44.4.1211.41 doi: 10.1073/pnas.1412009111 – ident: 2015093006475013000_44.4.1211.15 doi: 10.1371/journal.pone.0037933 – ident: 2015093006475013000_44.4.1211.20 – ident: 2015093006475013000_44.4.1211.9 doi: 10.1038/nature13544 – ident: 2015093006475013000_44.4.1211.29 doi: 10.1093/bioinformatics/btu566 – ident: 2015093006475013000_44.4.1211.27 doi: 10.1093/ije/dyr147 – ident: 2015093006475013000_44.4.1211.34 doi: 10.1038/nbt.2153 – ident: 2015093006475013000_44.4.1211.57 doi: 10.1038/nrg3405 – ident: 2015093006475013000_44.4.1211.47 doi: 10.1101/gr.176586.114 – ident: 2015093006475013000_44.4.1211.8 doi: 10.1095/biolreprod.108.068213 – ident: 2015093006475013000_44.4.1211.31 doi: 10.1093/bioinformatics/btu049 – ident: 2015093006475013000_44.4.1211.14 doi: 10.1038/ncomms6592 – ident: 2015093006475013000_44.4.1211.13 doi: 10.1093/hmg/ddp353 – ident: 2015093006475013000_44.4.1211.32 doi: 10.4161/epi.23470 – ident: 2015093006475013000_44.4.1211.10 doi: 10.1017/S0007114507894438 – ident: 2015093006475013000_44.4.1211.40 doi: 10.1038/nature09906 – ident: 2015093006475013000_44.4.1211.68 doi: 10.1093/hmg/ddv013 – ident: 2015093006475013000_44.4.1211.38 doi: 10.1111/j.2517-6161.1995.tb02031.x – ident: 2015093006475013000_44.4.1211.21 – ident: 2015093006475013000_44.4.1211.67 doi: 10.1016/j.gene.2011.11.062 – ident: 2015093006475013000_44.4.1211.42 doi: 10.1093/hmg/ddt464 – ident: 2015093006475013000_44.4.1211.5 doi: 10.1038/ng1089 – ident: 2015093006475013000_44.4.1211.71 doi: 10.4161/epi.25578 – ident: 2015093006475013000_44.4.1211.7 doi: 10.1371/journal.pone.0009237 – ident: 2015093006475013000_44.4.1211.22 doi: 10.1093/ije/dym126 – ident: 2015093006475013000_44.4.1211.49 doi: 10.1016/j.cell.2007.06.013 – ident: 2015093006475013000_44.4.1211.28 doi: 10.3945/jn.109.105536 – ident: 2015093006475013000_44.4.1211.61 doi: 10.4161/epi.4.8.10265 – ident: 2015093006475013000_44.4.1211.1 doi: 10.1111/j.1365-2796.2007.01809.x – ident: 2015093006475013000_44.4.1211.24 doi: 10.1371/journal.pone.0063812 – ident: 2015093006475013000_44.4.1211.25 doi: 10.3945/ajcn.2009.28085 – ident: 2015093006475013000_44.4.1211.58 – ident: 2015093006475013000_44.4.1211.64 doi: 10.1093/ije/dyr225 – ident: 2015093006475013000_44.4.1211.59 doi: 10.1093/bioinformatics/btu316 – ident: 2015093006475013000_44.4.1211.66 doi: 10.2337/dc10-1024 – ident: 2015093006475013000_44.4.1211.55 doi: 10.1111/joim.12231 – ident: 2015093006475013000_44.4.1211.70 doi: 10.1096/fj.14-255240 – ident: 2015093006475013000_44.4.1211.39 doi: 10.1038/ng.3021 – ident: 2015093006475013000_44.4.1211.12 doi: 10.1073/pnas.0806560105 – ident: 2015093006475013000_44.4.1211.23 doi: 10.1093/ajcn/85.3.869 – ident: 2015093006475013000_44.4.1211.52 doi: 10.1042/bj3630195 – ident: 2015093006475013000_44.4.1211.43 doi: 10.2217/epi.12.18 – ident: 2015093006475013000_44.4.1211.51 doi: 10.1002/dvdy.20724 – ident: 2015093006475013000_44.4.1211.4 doi: 10.1146/annurev-publhealth-031210-101230 – ident: 2015093006475013000_44.4.1211.63 doi: 10.1186/1756-8935-6-26 – ident: 2015093006475013000_44.4.1211.3 – ident: 2015093006475013000_44.4.1211.50 doi: 10.1038/emboj.2008.76 – reference: 25331893 - Proc Natl Acad Sci U S A. 2014 Nov 4;111(44):15741-5 – reference: 20169056 - PLoS One. 2010;5(2):e9237 – reference: 16496324 - Dev Dyn. 2006 Jun;235(6):1638-47 – reference: 24064335 - Hum Mol Genet. 2014 Feb 1;23(3):820-30 – reference: 17465856 - Annu Rev Nutr. 2007;27:363-88 – reference: 17444880 - J Intern Med. 2007 May;261(5):412-7 – reference: 22398613 - Nat Biotechnol. 2012 Mar;30(3):224-6 – reference: 25599564 - Genome Biol. 2014;15(12):503 – reference: 21220512 - J Cell Biol. 2011 Jan 10;192(1):121-35 – reference: 25552657 - Hum Mol Genet. 2015 Apr 15;24(8):2201-17 – reference: 21677750 - Nature. 2011 Jun 16;474(7351):337-42 – reference: 16467304 - J Biol Chem. 2006 Apr 7;281(14):9297-306 – reference: 19924280 - PLoS One. 2009;4(11):e7845 – reference: 22202639 - Gene. 2012 Feb 15;494(1):36-43 – reference: 21441907 - Nature. 2011 May 5;473(7345):43-9 – reference: 25424739 - Nat Commun. 2014;5:5592 – reference: 22568884 - BMC Bioinformatics. 2012;13:86 – reference: 18418387 - EMBO J. 2008 May 21;27(10):1481-90 – reference: 18197594 - Bioessays. 2008 Feb;30(2):156-66 – reference: 19939982 - Am J Clin Nutr. 2010 Feb;91(2):309-20 – reference: 9021310 - Epidemiol Rev. 1996;18(2):158-74 – reference: 21219171 - Annu Rev Public Health. 2011;32:237-62 – reference: 22781362 - Epidemiology. 2012 Sep;23(5):713-20 – reference: 25228660 - Genome Res. 2014 Dec;24(12):1905-17 – reference: 23691101 - PLoS One. 2013;8(5):e63812 – reference: 19656776 - Hum Mol Genet. 2009 Nov 1;18(21):4046-53 – reference: 22422449 - Int J Epidemiol. 2012 Feb;41(1):62-74 – reference: 24794928 - Bioinformatics. 2014 Aug 15;30(16):2360-6 – reference: 23975224 - Epigenetics. 2013 Sep;8(9):935-43 – reference: 24478339 - Bioinformatics. 2014 May 15;30(10):1363-9 – reference: 11315092 - Biometrics. 1999 Dec;55(4):997-1004 – reference: 25079557 - Nature. 2014 Jul 31;511(7511):606-10 – reference: 12861015 - Mol Cell Biol. 2003 Aug;23(15):5293-300 – reference: 25634562 - Hum Mol Genet. 2015 Jun 1;24(11):3021-9 – reference: 24605849 - J Intern Med. 2014 Sep;276(3):201-14 – reference: 18955703 - Proc Natl Acad Sci U S A. 2008 Nov 4;105(44):17046-9 – reference: 24781383 - Nat Commun. 2014;5:3746 – reference: 12610534 - Nat Genet. 2003 Mar;33 Suppl:245-54 – reference: 17591638 - Int J Epidemiol. 2007 Dec;36(6):1196-204 – reference: 20078863 - BMC Mol Biol. 2010;11:3 – reference: 23817309 - Nat Rev Genet. 2013 Aug;14(8):585-94 – reference: 11903063 - Biochem J. 2002 Apr 1;363(Pt 1):195-200 – reference: 19563753 - Cell. 2009 Jun 26;137(7):1194-211 – reference: 16365304 - Proc Natl Acad Sci U S A. 2005 Dec 27;102(52):19219-24 – reference: 25145626 - FASEB J. 2014 Nov;28(11):4868-79 – reference: 23919675 - Epigenetics Chromatin. 2013 Aug 06;6(1):26 – reference: 18186951 - Br J Nutr. 2008 Aug;100(2):278-82 – reference: 24740201 - Cancer Epidemiol Biomarkers Prev. 2014 Jun;23(6):1007-17 – reference: 21636975 - Epigenetics. 2011 Jul;6(7):928-36 – reference: 22690667 - Epigenomics. 2012 Jun;4(3):317-24 – reference: 22666415 - PLoS One. 2012;7(5):e37933 – reference: 24418380 - Nutr Metab Cardiovasc Dis. 2014 May;24(5):483-8 – reference: 20724651 - Diabetes Care. 2010 Nov;33(11):2436-41 – reference: 22269254 - Int J Epidemiol. 2012 Feb;41(1):74-8 – reference: 25147358 - Bioinformatics. 2014 Dec 1;30(23):3435-7 – reference: 25347937 - Genome Biol. 2014;15(10):483 – reference: 23314698 - Epigenetics. 2013 Feb;8(2):203-9 – reference: 19923908 - Epigenetics. 2009 Nov 16;4(8):526-31 – reference: 24974849 - Nat Genet. 2014 Aug;46(8):818-25 – reference: 23925113 - Nature. 2013 Aug 22;500(7463):477-81 – reference: 19549753 - J Nutr. 2009 Aug;139(8):1555-61 – reference: 21520493 - Mol Nutr Food Res. 2011 Jul;55(7):1026-35 – reference: 22955617 - Nature. 2012 Sep 6;489(7414):75-82 – reference: 17719541 - Cell. 2007 Aug 24;130(4):624-37 – reference: 18562706 - Biol Reprod. 2008 Oct;79(4):618-23 – reference: 17344511 - Am J Clin Nutr. 2007 Mar;85(3):869-76 |
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Snippet | The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have... Background: The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies... |
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SubjectTerms | Case-Control Studies DNA Methylation Early Life Environment Environment Female History, 20th Century Humans Male Maternal Nutritional Physiological Phenomena Middle Aged Netherlands Pregnancy Pregnancy Trimester, First Prenatal Exposure Delayed Effects - genetics Starvation - history |
Title | Early gestation as the critical time-window for changes in the prenatal environment to affect the adult human blood methylome |
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