Nucleated red blood cells explain most of the association between DNA methylation and gestational age
Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified...
        Saved in:
      
    
          | Published in | Communications biology Vol. 6; no. 1; pp. 224 - 11 | 
|---|---|
| Main Authors | , , , , , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        London
          Nature Publishing Group UK
    
        27.02.2023
     Nature Publishing Group Nature Portfolio  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2399-3642 2399-3642  | 
| DOI | 10.1038/s42003-023-04584-w | 
Cover
| Abstract | Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (p
Bonferroni
<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults.
CpG sites associated with gestational age are predominantly found in nucleated red blood cells, which point to an epigenetic signature of erythropoiesis as being partly responsible for this association. | 
    
|---|---|
| AbstractList | Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (p
<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm-GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults. CpG sites associated with gestational age are predominantly found in nucleated red blood cells, which point to an epigenetic signature of erythropoiesis as being partly responsible for this association. Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (pBonferroni<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults. Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (pBonferroni<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm-GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults.Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (pBonferroni<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm-GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults. Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (pBonferroni<0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults.CpG sites associated with gestational age are predominantly found in nucleated red blood cells, which point to an epigenetic signature of erythropoiesis as being partly responsible for this association. Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (p Bonferroni <0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults. CpG sites associated with gestational age are predominantly found in nucleated red blood cells, which point to an epigenetic signature of erythropoiesis as being partly responsible for this association. Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the biological mechanisms underlying the association. Our EWAS of gestational age (GA) in 953 newborns from the Norwegian MoBa study identified 13,660 CpGs significantly associated with GA (p Bonferroni <0.05) after adjustment for cell type composition. When the CellDMC algorithm was applied to explore cell-type specific effects, 2,330 CpGs were significantly associated with GA, mostly in nucleated red blood cells [nRBCs; n = 2,030 (87%)]. Similar patterns were found in another dataset based on a different array and when applying an alternative algorithm to CellDMC called Tensor Composition Analysis (TCA). Our findings point to nRBCs as the main cell type driving the DNAm–GA association, implicating an epigenetic signature of erythropoiesis as a likely mechanism. They also explain the poor correlation observed between epigenetic age clocks for newborns and those for adults.  | 
    
| ArticleNumber | 224 | 
    
| Author | Romanowska, Julia Lee, Yunsung Næss, Øyvind E. Jugessur, Astanand Bohlin, Jon Denault, William R. P. Kristjansson, Dana Page, Christian M. Magnus, Per M. Håberg, Siri E. Haftorn, Kristine L. Lyle, Robert  | 
    
| Author_xml | – sequence: 1 givenname: Kristine L. orcidid: 0000-0002-2152-1839 surname: Haftorn fullname: Haftorn, Kristine L. email: KristineLokas.Haftorn@fhi.no organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Institute of Health and Society, University of Oslo – sequence: 2 givenname: William R. P. orcidid: 0000-0002-9690-3890 surname: Denault fullname: Denault, William R. P. organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Department of Human Genetics, University of Chicago – sequence: 3 givenname: Yunsung orcidid: 0000-0002-2512-1082 surname: Lee fullname: Lee, Yunsung organization: Centre for Fertility and Health, Norwegian Institute of Public Health – sequence: 4 givenname: Christian M. surname: Page fullname: Page, Christian M. organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Department of Physical Health and Ageing, Division of Mental and Physical Health, Norwegian Institute of Public Health – sequence: 5 givenname: Julia orcidid: 0000-0001-6733-1953 surname: Romanowska fullname: Romanowska, Julia organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Department of Global Public Health and Primary Care, , University of Bergen – sequence: 6 givenname: Robert orcidid: 0000-0001-6317-732X surname: Lyle fullname: Lyle, Robert organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Department of Medical Genetics, Oslo University Hospital and University of Oslo – sequence: 7 givenname: Øyvind E. surname: Næss fullname: Næss, Øyvind E. organization: Institute of Health and Society, University of Oslo, Division of Mental and Physical Health, Norwegian Institute of Public Health – sequence: 8 givenname: Dana surname: Kristjansson fullname: Kristjansson, Dana organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Department of Genetics and Bioinformatics, Norwegian Institute of Public Health – sequence: 9 givenname: Per M. surname: Magnus fullname: Magnus, Per M. organization: Centre for Fertility and Health, Norwegian Institute of Public Health – sequence: 10 givenname: Siri E. surname: Håberg fullname: Håberg, Siri E. organization: Centre for Fertility and Health, Norwegian Institute of Public Health – sequence: 11 givenname: Jon orcidid: 0000-0002-0992-1311 surname: Bohlin fullname: Bohlin, Jon organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Division for Infection Control and Environmental Health, Department of Infectious Disease Epidemiology and Modelling, Norwegian Institute of Public Health – sequence: 12 givenname: Astanand surname: Jugessur fullname: Jugessur, Astanand organization: Centre for Fertility and Health, Norwegian Institute of Public Health, Department of Global Public Health and Primary Care, , University of Bergen  | 
    
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36849614$$D View this record in MEDLINE/PubMed | 
    
| BookMark | eNqNUs1vFCEcnZgaW2v_AQ-GxIuXURi-LyZN_WrS1IueCcMwu2xYWIFx3f9eurOtbQ-NB2AG3nu_x-_xsjkKMdimeY3gewSx-JBJByFuYVcHoYK022fNSYelbDEj3dG97-PmLOcVhBBJKRkmL5pjzASRDJGTxl5Pxltd7ABSHb2PcQDGep-B_bPx2gWwjrmAOIKytEDnHI3TxcUAelu21gbw6focrG1Z7vy8r8MAFjaX_Z_2QC_sq-b5qH22Z4f1tPn55fOPi2_t1fevlxfnV62hjJaWYAyZZGZEHR_IaLSWnFILKRoNFRBRZnsCe8vqsaYjGyWTggrDRy6s6Sk-bS5n3SHqldokt9Zpp6J2ar8R00LpVFy9sWKCGs1HhhClxEgu-p5gg2Qv-SAG3FctPGtNYaN3W-39nSCC6iYDNWegagZqn4HaVtbHmbWZ-rUdjA0laf_AysOT4JZqEX8rKXnVhFUAzAImuVxcUCEmXcsJ2tWZMS4q5N2hRoq_ptpptXb5JjMdbJyy6riAnHUUoQp9-wi6ilOqqcyojknOeEW9uW_6zu3tM6mA7tZUzDnZ8f9aIR6RjJsfRb24809TD73PtU5Y2PTP9hOsv-pF8Ug | 
    
| CitedBy_id | crossref_primary_10_1186_s13148_023_01528_3 crossref_primary_10_1186_s13148_024_01741_8 crossref_primary_10_1038_s42003_023_05025_4 crossref_primary_10_1080_15592294_2024_2437275 crossref_primary_10_1186_s40246_023_00540_1 crossref_primary_10_1371_journal_ppat_1012063  | 
    
| Cites_doi | 10.1038/s41467-019-10864-z 10.1186/s13073-020-0716-9 10.1038/s41467-019-11052-9 10.1186/s13059-018-1448-7 10.1038/nature13544 10.1186/1471-2105-13-86 10.1016/j.blre.2020.100740 10.1016/j.steroids.2009.09.002 10.1371/journal.pone.0067489 10.1371/journal.pone.0041361 10.1007/s10544-015-0021-3 10.1136/fn.84.3.F211 10.1182/blood.V94.2.550 10.1186/s13059-019-1664-9 10.1371/journal.pone.0181155 10.1093/bioinformatics/btz196 10.1016/S0268-960X(98)90022-4 10.1371/journal.pgen.1005526 10.4049/jimmunol.174.4.2250 10.1186/s13148-021-01055-z 10.1186/s12864-022-08451-6 10.1080/15592294.2020.1767277 10.1073/pnas.0909296106 10.1159/000101567 10.1038/nbt.1630 10.1186/s13148-019-0717-y 10.1182/blood-2008-03-077883 10.1016/j.exphem.2021.01.001 10.1073/pnas.1303976110 10.1016/j.exphem.2009.02.005 10.1016/j.exphem.2020.07.011 10.1016/j.biocel.2014.02.019 10.1093/bioinformatics/bts680 10.1038/s41467-020-18618-y 10.1210/en.2010-1443 10.1038/s41467-022-29540-w 10.1101/cshperspect.a011643 10.1186/s13148-017-0339-1 10.1186/s13059-020-02126-9 10.1186/s13059-016-1068-z 10.2217/epi-2016-0153 10.1038/jp.2014.241 10.1093/aje/kwt433 10.3389/fimmu.2019.03017 10.1186/s13148-018-0520-1 10.1038/s41592-018-0213-x 10.4161/epi.6.12.18296 10.1093/ije/dyr237 10.1186/1471-2164-14-293 10.1186/s13059-016-1063-4 10.1016/j.ydbio.2008.01.047 10.1093/hmg/ddv119 10.1182/blood-2010-01-262964 10.3324/haematol.2019.233056 10.1038/nature14326 10.1038/nrendo.2014.73 10.1038/s41598-021-96585-0 10.1101/gad.13.22.2996 10.2217/bmm-2017-0055 10.1093/ije/dyy029 10.1038/sj.onc.1209308 10.1073/pnas.1314814111 10.1182/blood-2010-07-295550 10.1016/j.celrep.2019.08.020 10.1016/j.pedneo.2020.07.009 10.1093/hmg/ddx275 10.1186/s13148-017-0349-z 10.1084/jem.193.2.247 10.1155/2014/496416 10.1016/j.ajog.2012.07.022 10.1371/journal.pgen.1005583 10.1093/ije/dyq070 10.1542/peds.2003-0838-L 10.1186/s13059-016-1066-1 10.4161/epi.6.6.16196 10.1016/j.gdata.2016.05.012 10.1186/s13148-021-01114-5 10.1074/jbc.M112.423756 10.3390/children7110197 10.1093/ije/dyw029 10.2217/epi-2016-0157 10.5324/nje.v24i1-2.1755  | 
    
| ContentType | Journal Article | 
    
| Copyright | The Author(s) 2023 2023. The Author(s). The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. info:eu-repo/semantics/openAccess  | 
    
| Copyright_xml | – notice: The Author(s) 2023 – notice: 2023. The Author(s). – notice: The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: info:eu-repo/semantics/openAccess  | 
    
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7XB 88I 8FE 8FH 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ HCIFZ LK8 M2P M7P PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 3HK 5PM ADTOC UNPAY DOA  | 
    
| DOI | 10.1038/s42003-023-04584-w | 
    
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Journals ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central ProQuest Central Student SciTech Premium Collection Biological Sciences Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic NORA - Norwegian Open Research Archives PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals  | 
    
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Central (New) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Biological Science Database ProQuest SciTech Collection ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic  | 
    
| DatabaseTitleList | MEDLINE MEDLINE - Academic Publicly Available Content Database CrossRef  | 
    
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 5 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 6 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database  | 
    
| DeliveryMethod | fulltext_linktorsrc | 
    
| Discipline | Biology | 
    
| EISSN | 2399-3642 | 
    
| EndPage | 11 | 
    
| ExternalDocumentID | oai_doaj_org_article_685ca7f611554c978bb43c19b97d8d3b 10.1038/s42003-023-04584-w PMC9971030 10852_106678 36849614 10_1038_s42003_023_04584_w  | 
    
| Genre | Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural  | 
    
| GrantInformation_xml | – fundername: Norges Forskningsråd (Research Council of Norway) grantid: 262700 funderid: https://doi.org/10.13039/501100005416 – fundername: U.S. Department of Health & Human Services | National Institutes of Health (NIH) grantid: R01 1HL134840-01 funderid: https://doi.org/10.13039/100000002 – fundername: Norges Forskningsråd (Research Council of Norway) grantid: 262700 – fundername: ; grantid: R01 1HL134840-01 – fundername: ; grantid: 262700  | 
    
| GroupedDBID | 0R~ 53G 88I AAJSJ ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV AFKRA AJTQC ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BBNVY BCNDV BENPR BHPHI C6C CCPQU DWQXO EBLON EBS GNUQQ GROUPED_DOAJ HCIFZ HYE M2P M7P M~E NAO O9- OK1 PGMZT PIMPY RNT RPM SNYQT AASML AAYXX CITATION PHGZM PHGZT PQGLB PUEGO CGR CUY CVF ECM EIF NPM 3V. 7XB 8FE 8FH 8FK LK8 PKEHL PQEST PQQKQ PQUKI PRINS Q9U 7X8 3HK AAADF AFGXO EJD 5PM ADTOC H13 UNPAY  | 
    
| ID | FETCH-LOGICAL-c565t-4330696cf127d4fcaa9755e051fc580156eb40be627da5f6f969858c7f78ecb53 | 
    
| IEDL.DBID | DOA | 
    
| ISSN | 2399-3642 | 
    
| IngestDate | Fri Oct 03 12:51:26 EDT 2025 Sun Oct 26 04:12:42 EDT 2025 Tue Sep 30 17:16:39 EDT 2025 Wed Jan 31 07:00:07 EST 2024 Thu Sep 04 19:34:24 EDT 2025 Fri Jul 25 11:42:55 EDT 2025 Mon Jul 21 06:00:21 EDT 2025 Thu Apr 24 22:55:42 EDT 2025 Wed Oct 01 03:42:29 EDT 2025 Fri Feb 21 02:38:36 EST 2025  | 
    
| IsDoiOpenAccess | true | 
    
| IsOpenAccess | true | 
    
| IsPeerReviewed | true | 
    
| IsScholarly | true | 
    
| Issue | 1 | 
    
| Language | English | 
    
| License | 2023. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. cc-by  | 
    
| LinkModel | DirectLink | 
    
| MergedId | FETCHMERGED-LOGICAL-c565t-4330696cf127d4fcaa9755e051fc580156eb40be627da5f6f969858c7f78ecb53 | 
    
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 NFR/262700  | 
    
| ORCID | 0000-0002-0992-1311 0000-0002-2512-1082 0000-0002-9690-3890 0000-0002-2152-1839 0000-0001-6733-1953 0000-0001-6317-732X  | 
    
| OpenAccessLink | https://doaj.org/article/685ca7f611554c978bb43c19b97d8d3b | 
    
| PMID | 36849614 | 
    
| PQID | 2780269767 | 
    
| PQPubID | 4669726 | 
    
| PageCount | 11 | 
    
| ParticipantIDs | doaj_primary_oai_doaj_org_article_685ca7f611554c978bb43c19b97d8d3b unpaywall_primary_10_1038_s42003_023_04584_w pubmedcentral_primary_oai_pubmedcentral_nih_gov_9971030 cristin_nora_10852_106678 proquest_miscellaneous_2780762511 proquest_journals_2780269767 pubmed_primary_36849614 crossref_primary_10_1038_s42003_023_04584_w crossref_citationtrail_10_1038_s42003_023_04584_w springer_journals_10_1038_s42003_023_04584_w  | 
    
| ProviderPackageCode | CITATION AAYXX  | 
    
| PublicationCentury | 2000 | 
    
| PublicationDate | 2023-02-27 | 
    
| PublicationDateYYYYMMDD | 2023-02-27 | 
    
| PublicationDate_xml | – month: 02 year: 2023 text: 2023-02-27 day: 27  | 
    
| PublicationDecade | 2020 | 
    
| PublicationPlace | London | 
    
| PublicationPlace_xml | – name: London – name: England  | 
    
| PublicationTitle | Communications biology | 
    
| PublicationTitleAbbrev | Commun Biol | 
    
| PublicationTitleAlternate | Commun Biol | 
    
| PublicationYear | 2023 | 
    
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio  | 
    
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio  | 
    
| References | Yang, Bergvall, Cnattingius, Kramer (CR4) 2010; 39 Satyanarayana (CR66) 2010; 116 Heller, Bogomolov, Benjamini (CR31) 2014; 111 Flygare, Rayon Estrada, Shin, Gupta, Lodish (CR49) 2011; 117 Bauer (CR25) 2018; 47 Gervin (CR19) 2019; 11 CR78 CR75 Parets (CR60) 2013; 8 Akhabir (CR9) 2022; 23 McCartney (CR81) 2016; 9 Lu (CR34) 2021; 13 Müller (CR80) 2019; 20 Mathangasinghe, Fauvet, Jane, Goloubinoff, Nillegoda (CR43) 2021; 106 Pidsley (CR84) 2013; 14 Teschendorff (CR82) 2013; 29 Byeon, Ki, Han (CR76) 2015; 17 Schulz (CR67) 2019; 28 Engel (CR79) 2014; 179 Li, Wu, Jin, Wu (CR21) 2019; 35 Paulson, Hariharan, Little (CR57) 2020; 89 CR2 Hermansen (CR37) 2001; 84 Luo, Yang, Wei (CR22) 2019; 10 Leonard, Godson, Brady, Taylor (CR56) 2005; 174 You (CR33) 2020; 11 Xu (CR63) 2013; 110 Haftorn (CR30) 2021; 13 Salas (CR85) 2018; 19 Pidsley (CR13) 2016; 17 CR87 CR86 Håberg (CR29) 2022; 13 Bauer (CR54) 1999; 13 Reinius (CR15) 2012; 7 Houseman (CR18) 2012; 13 Palis, Segel (CR36) 1998; 12 Schroeder (CR61) 2011; 6 Menon, Ghaffari (CR40) 2021; 95 McLean (CR32) 2010; 28 Bohlin (CR10) 2016; 17 Rahmani (CR23) 2019; 10 Stellacci (CR53) 2009; 37 Sankaran, Orkin (CR45) 2013; 3 Solano, Arck (CR46) 2019; 10 Zermati (CR65) 2001; 193 Morton, Brettin, Feldman, Leeman (CR74) 2020; 61 Merid (CR5) 2020; 12 Teschendorff, Zhu, Breeze, Beck (CR20) 2020; 21 Guo (CR6) 2014; 511 Simpkin (CR59) 2015; 24 Raby (CR3) 2004; 114 Yu (CR68) 2013; 288 Girchenko (CR70) 2017; 9 Lee (CR62) 2012; 41 York (CR12) 2020; 15 Titus, Gallimore, Salas, Christensen (CR17) 2017; 26 Porayette, Paulson (CR58) 2008; 317 Sen, Chen, Singbrant (CR38) 2021; 11 de Goede, Lavoie, Robinson (CR35) 2017; 9 Varricchio (CR64) 2014; 50 Sandoval (CR14) 2011; 6 Knight (CR11) 2016; 17 Mei, Liu, Ji (CR39) 2021; 46 Chasis, Mohandas (CR44) 2008; 112 Khouja (CR69) 2018; 10 Lim (CR7) 2017; 12 Pérez, Gurbindo, Resino, Aguarón, Muñoz-Fernández (CR27) 2007; 92 Gasparović, Ahmetasević, Colić (CR72) 2012; 36 CR28 von Lindern (CR50) 1999; 94 Slieker (CR8) 2015; 11 Tang, Seckl, Nyirenda (CR48) 2011; 152 Hebbar, Misha, Rai (CR73) 2014; 2014 Zheng, Breeze, Beck, Teschendorff (CR24) 2018; 15 Zhou, Laird, Shen (CR83) 2017; 45 Ghartey (CR1) 2012; 207 Nicolaides, Galata, Kino, Chrousos, Charmandari (CR52) 2010; 75 Liang (CR42) 2015; 11 Moisiadis, Matthews (CR47) 2014; 10 Davari-Tanha, Kaveh, Nemati, Javadian, Salmanian (CR71) 2014; 8 Glasser, Sutton, Schmeling, Machan (CR26) 2015; 35 Dolznig (CR55) 2006; 25 Singh (CR77) 2017; 11 Teschendorff, Zheng (CR16) 2017; 9 Chen (CR41) 2009; 106 Lee (CR51) 2015; 522 L Akhabir (4584_CR9) 2022; 23 V Menon (4584_CR40) 2021; 95 J Xu (4584_CR63) 2013; 110 4584_CR87 KL Haftorn (4584_CR30) 2021; 13 AJ Simpkin (4584_CR59) 2015; 24 J Sandoval (4584_CR14) 2011; 6 NC Nicolaides (4584_CR52) 2010; 75 LA Salas (4584_CR85) 2018; 19 L Varricchio (4584_CR64) 2014; 50 DL McCartney (4584_CR81) 2016; 9 BA Raby (4584_CR3) 2004; 114 Y Mathangasinghe (4584_CR43) 2021; 106 JW Schroeder (4584_CR61) 2011; 6 Y Yu (4584_CR68) 2013; 288 4584_CR86 SE Parets (4584_CR60) 2013; 8 AJ Titus (4584_CR17) 2017; 26 RC Slieker (4584_CR8) 2015; 11 W Zhou (4584_CR83) 2017; 45 VG Sankaran (4584_CR45) 2013; 3 P Porayette (4584_CR58) 2008; 317 HY Lee (4584_CR51) 2015; 522 E Rahmani (4584_CR23) 2019; 10 4584_CR78 AE Teschendorff (4584_CR20) 2020; 21 CY McLean (4584_CR32) 2010; 28 S Hebbar (4584_CR73) 2014; 2014 K Ghartey (4584_CR1) 2012; 207 J Palis (4584_CR36) 1998; 12 H Lee (4584_CR62) 2012; 41 Z Li (4584_CR21) 2019; 35 Y Byeon (4584_CR76) 2015; 17 J Flygare (4584_CR49) 2011; 117 A Bauer (4584_CR54) 1999; 13 4584_CR75 YC Lim (4584_CR7) 2017; 12 P Girchenko (4584_CR70) 2017; 9 R Liang (4584_CR42) 2015; 11 AE Teschendorff (4584_CR82) 2013; 29 TP York (4584_CR12) 2020; 15 R Pidsley (4584_CR84) 2013; 14 T Sen (4584_CR38) 2021; 11 E Stellacci (4584_CR53) 2009; 37 R Pidsley (4584_CR13) 2016; 17 Y Zermati (4584_CR65) 2001; 193 M Bauer (4584_CR25) 2018; 47 F Davari-Tanha (4584_CR71) 2014; 8 SC Zheng (4584_CR24) 2018; 15 4584_CR28 SU Morton (4584_CR74) 2020; 61 X Luo (4584_CR22) 2019; 10 M von Lindern (4584_CR50) 1999; 94 MC Hermansen (4584_CR37) 2001; 84 EA Houseman (4584_CR18) 2012; 13 R Heller (4584_CR31) 2014; 111 Y Mei (4584_CR39) 2021; 46 VG Moisiadis (4584_CR47) 2014; 10 MO Leonard (4584_CR56) 2005; 174 AE Teschendorff (4584_CR16) 2017; 9 C You (4584_CR33) 2020; 11 4584_CR2 A Pérez (4584_CR27) 2007; 92 VE Gasparović (4584_CR72) 2012; 36 SE Håberg (4584_CR29) 2022; 13 K Chen (4584_CR41) 2009; 106 ME Solano (4584_CR46) 2019; 10 A Satyanarayana (4584_CR66) 2010; 116 S Yang (4584_CR4) 2010; 39 H Guo (4584_CR6) 2014; 511 RF Paulson (4584_CR57) 2020; 89 VP Schulz (4584_CR67) 2019; 28 K Gervin (4584_CR19) 2019; 11 J Bohlin (4584_CR10) 2016; 17 JA Chasis (4584_CR44) 2008; 112 H Dolznig (4584_CR55) 2006; 25 T Lu (4584_CR34) 2021; 13 SK Merid (4584_CR5) 2020; 12 JN Khouja (4584_CR69) 2018; 10 AK Knight (4584_CR11) 2016; 17 F Müller (4584_CR80) 2019; 20 JI Tang (4584_CR48) 2011; 152 OM de Goede (4584_CR35) 2017; 9 R Singh (4584_CR77) 2017; 11 L Glasser (4584_CR26) 2015; 35 LE Reinius (4584_CR15) 2012; 7 SM Engel (4584_CR79) 2014; 179  | 
    
| References_xml | – volume: 10 year: 2019 ident: CR22 article-title: Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies publication-title: Nat. Commun. doi: 10.1038/s41467-019-10864-z – volume: 12 year: 2020 ident: CR5 article-title: Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age publication-title: Genome Med. doi: 10.1186/s13073-020-0716-9 – volume: 10 year: 2019 ident: CR23 article-title: Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology publication-title: Nat. Commun. doi: 10.1038/s41467-019-11052-9 – ident: CR87 – volume: 19 year: 2018 ident: CR85 article-title: An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray publication-title: Genome Biol. doi: 10.1186/s13059-018-1448-7 – volume: 511 start-page: 606 year: 2014 end-page: 610 ident: CR6 article-title: The DNA methylation landscape of human early embryos publication-title: Nature doi: 10.1038/nature13544 – volume: 13 year: 2012 ident: CR18 article-title: DNA methylation arrays as surrogate measures of cell mixture distribution publication-title: BMC Bioinforma. doi: 10.1186/1471-2105-13-86 – volume: 46 start-page: 100740 year: 2021 ident: CR39 article-title: Understanding terminal erythropoiesis: An update on chromatin condensation, enucleation, and reticulocyte maturation publication-title: Blood Rev. doi: 10.1016/j.blre.2020.100740 – volume: 75 start-page: 1 year: 2010 end-page: 12 ident: CR52 article-title: The human glucocorticoid receptor: molecular basis of biologic function publication-title: Steroids doi: 10.1016/j.steroids.2009.09.002 – volume: 8 start-page: e67489 year: 2013 ident: CR60 article-title: Fetal DNA methylation associates with early spontaneous preterm birth and gestational age publication-title: PLoS ONE doi: 10.1371/journal.pone.0067489 – volume: 7 start-page: e41361 year: 2012 ident: CR15 article-title: Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility publication-title: PLoS ONE doi: 10.1371/journal.pone.0041361 – volume: 17 year: 2015 ident: CR76 article-title: Isolation of nucleated red blood cells in maternal blood for Non-invasive prenatal diagnosis publication-title: Biomed. Microdevices doi: 10.1007/s10544-015-0021-3 – volume: 84 start-page: F211 year: 2001 end-page: F215 ident: CR37 article-title: Nucleated red blood cells in the fetus and newborn publication-title: Arch. Dis. Child Fetal Neonatal Ed. doi: 10.1136/fn.84.3.F211 – volume: 94 start-page: 550 year: 1999 end-page: 559 ident: CR50 article-title: The glucocorticoid receptor cooperates with the erythropoietin receptor and c-Kit to enhance and sustain proliferation of erythroid progenitors in vitro publication-title: Blood doi: 10.1182/blood.V94.2.550 – volume: 20 year: 2019 ident: CR80 article-title: RnBeads 2.0: comprehensive analysis of DNA methylation data publication-title: Genome Biol. doi: 10.1186/s13059-019-1664-9 – volume: 12 start-page: e0181155 year: 2017 ident: CR7 article-title: A complex association between DNA methylation and gene expression in human placenta at first and third trimesters publication-title: PLoS ONE doi: 10.1371/journal.pone.0181155 – volume: 35 start-page: 3898 year: 2019 end-page: 3905 ident: CR21 article-title: Dissecting differential signals in high-throughput data from complex tissues publication-title: Bioinforma. doi: 10.1093/bioinformatics/btz196 – volume: 12 start-page: 106 year: 1998 end-page: 114 ident: CR36 article-title: Developmental biology of erythropoiesis publication-title: Blood Rev. doi: 10.1016/S0268-960X(98)90022-4 – ident: CR75 – volume: 11 start-page: e1005526 year: 2015 ident: CR42 article-title: A systems approach identifies essential FOXO3 functions at key steps of terminal erythropoiesis publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1005526 – volume: 174 start-page: 2250 year: 2005 end-page: 2257 ident: CR56 article-title: Potentiation of glucocorticoid activity in hypoxia through induction of the glucocorticoid receptor publication-title: J. Immunol. doi: 10.4049/jimmunol.174.4.2250 – volume: 13 year: 2021 ident: CR30 article-title: An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies publication-title: Clin. Epigenetics doi: 10.1186/s13148-021-01055-z – volume: 23 year: 2022 ident: CR9 article-title: DNA methylation changes in cord blood and the developmental origins of health and disease - a systematic review and replication study publication-title: BMC Genomics doi: 10.1186/s12864-022-08451-6 – volume: 45 start-page: e22 year: 2017 ident: CR83 article-title: Comprehensive characterization, annotation and innovative use of infinium DNA methylation BeadChip probes publication-title: Nucleic Acids Res. – volume: 15 start-page: 1243 year: 2020 end-page: 1258 ident: CR12 article-title: Replicated umbilical cord blood DNA methylation loci associated with gestational age at birth publication-title: Epigenetics doi: 10.1080/15592294.2020.1767277 – ident: CR78 – volume: 106 start-page: 17413 year: 2009 end-page: 17418 ident: CR41 article-title: Resolving the distinct stages in erythroid differentiation based on dynamic changes in membrane protein expression during erythropoiesis publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.0909296106 – volume: 92 start-page: 158 year: 2007 end-page: 163 ident: CR27 article-title: NK cell increase in neonates from the preterm to the full-term period of gestation publication-title: Neonatology doi: 10.1159/000101567 – volume: 28 start-page: 495 year: 2010 end-page: 501 ident: CR32 article-title: GREAT improves functional interpretation of cis-regulatory regions publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1630 – volume: 11 year: 2019 ident: CR19 article-title: Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data publication-title: Clin. Epigenetics doi: 10.1186/s13148-019-0717-y – volume: 112 start-page: 470 year: 2008 end-page: 478 ident: CR44 article-title: Erythroblastic islands: niches for erythropoiesis publication-title: Blood doi: 10.1182/blood-2008-03-077883 – volume: 95 start-page: 13 year: 2021 end-page: 22 ident: CR40 article-title: Erythroid enucleation: a gateway into a “bloody” world publication-title: Exp. Hematol. doi: 10.1016/j.exphem.2021.01.001 – volume: 110 start-page: 6518 year: 2013 end-page: 6523 ident: CR63 article-title: Corepressor-dependent silencing of fetal hemoglobin expression by BCL11A publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1303976110 – volume: 37 start-page: 559 year: 2009 end-page: 572 ident: CR53 article-title: Interaction between the glucocorticoid and erythropoietin receptors in human erythroid cells publication-title: Exp. Hematol. doi: 10.1016/j.exphem.2009.02.005 – volume: 89 start-page: 43 year: 2020 end-page: 54.e42 ident: CR57 article-title: Stress erythropoiesis: definitions and models for its study publication-title: Exp. Hematol. doi: 10.1016/j.exphem.2020.07.011 – volume: 50 start-page: 112 year: 2014 end-page: 122 ident: CR64 article-title: Identification of NuRSERY, a new functional HDAC complex composed by HDAC5, GATA1, EKLF and pERK present in human erythroid cells publication-title: Int J. Biochem. Cell Biol. doi: 10.1016/j.biocel.2014.02.019 – volume: 29 start-page: 189 year: 2013 end-page: 196 ident: CR82 article-title: A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts680 – ident: CR2 – volume: 11 year: 2020 ident: CR33 article-title: A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes publication-title: Nat. Commun. doi: 10.1038/s41467-020-18618-y – volume: 152 start-page: 2716 year: 2011 end-page: 2721 ident: CR48 article-title: Prenatal glucocorticoid overexposure causes permanent increases in renal erythropoietin expression and red blood cell mass in the rat offspring publication-title: Endocrinology doi: 10.1210/en.2010-1443 – volume: 13 year: 2022 ident: CR29 article-title: DNA methylation in newborns conceived by assisted reproductive technology publication-title: Nat. Commun. doi: 10.1038/s41467-022-29540-w – volume: 3 start-page: a011643 year: 2013 ident: CR45 article-title: The switch from fetal to adult hemoglobin publication-title: Cold Spring Harb. Perspect. Med. doi: 10.1101/cshperspect.a011643 – volume: 9 year: 2017 ident: CR35 article-title: Cord blood hematopoietic cells from preterm infants display altered DNA methylation patterns publication-title: Clin. Epigenetics doi: 10.1186/s13148-017-0339-1 – volume: 21 year: 2020 ident: CR20 article-title: EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data publication-title: Genome Biol. doi: 10.1186/s13059-020-02126-9 – volume: 17 year: 2016 ident: CR11 article-title: An epigenetic clock for gestational age at birth based on blood methylation data publication-title: Genome Biol. doi: 10.1186/s13059-016-1068-z – ident: CR86 – volume: 9 start-page: 757 year: 2017 end-page: 768 ident: CR16 article-title: Cell-type deconvolution in epigenome-wide association studies: a review and recommendations publication-title: Epigenomics doi: 10.2217/epi-2016-0153 – volume: 35 start-page: 469 year: 2015 end-page: 475 ident: CR26 article-title: A comprehensive study of umbilical cord blood cell developmental changes and reference ranges by gestation, gender and mode of delivery publication-title: J. Perinatol. doi: 10.1038/jp.2014.241 – volume: 179 start-page: 834 year: 2014 end-page: 842 ident: CR79 article-title: Neonatal genome-wide methylation patterns in relation to birth weight in the Norwegian Mother and Child Cohort publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwt433 – volume: 10 start-page: 3017 year: 2019 ident: CR46 article-title: Steroids, pregnancy and fetal development publication-title: Front. Immunol. doi: 10.3389/fimmu.2019.03017 – volume: 10 year: 2018 ident: CR69 article-title: Epigenetic gestational age acceleration: a prospective cohort study investigating associations with familial, sociodemographic and birth characteristics publication-title: Clin. Epigenetics doi: 10.1186/s13148-018-0520-1 – volume: 15 start-page: 1059 year: 2018 end-page: 1066 ident: CR24 article-title: Identification of differentially methylated cell types in epigenome-wide association studies publication-title: Nat. Methods doi: 10.1038/s41592-018-0213-x – volume: 6 start-page: 1498 year: 2011 end-page: 1504 ident: CR61 article-title: Neonatal DNA methylation patterns associate with gestational age publication-title: Epigenetics doi: 10.4161/epi.6.12.18296 – volume: 8 start-page: 77 year: 2014 end-page: 81 ident: CR71 article-title: Nucleated red blood cells count in pregnancies with idiopathic intra-uterine growth restriction publication-title: J. Fam. Reprod. Health – volume: 41 start-page: 188 year: 2012 end-page: 199 ident: CR62 article-title: DNA methylation shows genome-wide association of NFIX, RAPGEF2 and MSRB3 with gestational age at birth publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyr237 – volume: 14 year: 2013 ident: CR84 article-title: A data-driven approach to preprocessing Illumina 450K methylation array data publication-title: BMC Genomics doi: 10.1186/1471-2164-14-293 – volume: 17 year: 2016 ident: CR10 article-title: Prediction of gestational age based on genome-wide differentially methylated regions publication-title: Genome Biol. doi: 10.1186/s13059-016-1063-4 – volume: 317 start-page: 24 year: 2008 end-page: 35 ident: CR58 article-title: BMP4/Smad5 dependent stress erythropoiesis is required for the expansion of erythroid progenitors during fetal development publication-title: Dev. Biol. doi: 10.1016/j.ydbio.2008.01.047 – volume: 24 start-page: 3752 year: 2015 end-page: 3763 ident: CR59 article-title: Longitudinal analysis of DNA methylation associated with birth weight and gestational age publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddv119 – volume: 116 start-page: 2921 year: 2010 end-page: 2931 ident: CR66 article-title: RapGEF2 is essential for embryonic hematopoiesis but dispensable for adult hematopoiesis publication-title: Blood doi: 10.1182/blood-2010-01-262964 – volume: 106 start-page: 1519 year: 2021 end-page: 1534 ident: CR43 article-title: The Hsp70 chaperone system: distinct roles in erythrocyte formation and maintenance publication-title: Haematologica doi: 10.3324/haematol.2019.233056 – volume: 36 start-page: 853 year: 2012 end-page: 857 ident: CR72 article-title: Nucleated red blood cells count as first prognostic marker for adverse neonatal outcome in severe preeclamptic pregnancies publication-title: Coll. Antropol. – volume: 522 start-page: 474 year: 2015 end-page: 477 ident: CR51 article-title: PPAR-α and glucocorticoid receptor synergize to promote erythroid progenitor self-renewal publication-title: Nature doi: 10.1038/nature14326 – volume: 10 start-page: 391 year: 2014 end-page: 402 ident: CR47 article-title: Glucocorticoids and fetal programming part 1: outcomes publication-title: Nat. Rev. Endocrinol. doi: 10.1038/nrendo.2014.73 – volume: 11 year: 2021 ident: CR38 article-title: Decreased PGC1β expression results in disrupted human erythroid differentiation, impaired hemoglobinization and cell cycle exit publication-title: Sci. Rep. doi: 10.1038/s41598-021-96585-0 – volume: 13 start-page: 2996 year: 1999 end-page: 3002 ident: CR54 article-title: The glucocorticoid receptor is required for stress erythropoiesis publication-title: Genes Dev. doi: 10.1101/gad.13.22.2996 – volume: 11 start-page: 705 year: 2017 end-page: 710 ident: CR77 article-title: Fetal cells in maternal blood for prenatal diagnosis: a love story rekindled publication-title: Biomark. Med. doi: 10.2217/bmm-2017-0055 – volume: 47 start-page: 917 year: 2018 end-page: 927 ident: CR25 article-title: Cell-type-specific disturbance of DNA methylation pattern: a chance to get more benefit from and to minimize cohorts for epigenome-wide association studies publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyy029 – volume: 25 start-page: 2890 year: 2006 end-page: 2900 ident: CR55 article-title: Erythroid progenitor renewal versus differentiation: genetic evidence for cell autonomous, essential functions of EpoR, Stat5 and the GR publication-title: Oncogene doi: 10.1038/sj.onc.1209308 – volume: 111 start-page: 16262 year: 2014 end-page: 16267 ident: CR31 article-title: Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1314814111 – volume: 117 start-page: 3435 year: 2011 end-page: 3444 ident: CR49 article-title: HIF1alpha synergizes with glucocorticoids to promote BFU-E progenitor self-renewal publication-title: Blood doi: 10.1182/blood-2010-07-295550 – volume: 28 start-page: 2996 year: 2019 end-page: 3009.e2997 ident: CR67 article-title: A unique epigenomic landscape defines human erythropoiesis publication-title: Cell Rep. doi: 10.1016/j.celrep.2019.08.020 – volume: 61 start-page: 592 year: 2020 end-page: 597 ident: CR74 article-title: Association of nucleated red blood cell count with mortality among neonatal intensive care unit patients publication-title: Pediatr. Neonatol. doi: 10.1016/j.pedneo.2020.07.009 – volume: 26 start-page: R216 year: 2017 end-page: r224 ident: CR17 article-title: Cell-type deconvolution from DNA methylation: a review of recent applications publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddx275 – volume: 9 year: 2017 ident: CR70 article-title: Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth publication-title: Clin. Epigenetics doi: 10.1186/s13148-017-0349-z – volume: 193 start-page: 247 year: 2001 end-page: 254 ident: CR65 article-title: Caspase activation is required for terminal erythroid differentiation publication-title: J. Exp. Med. doi: 10.1084/jem.193.2.247 – volume: 2014 start-page: 496416 year: 2014 ident: CR73 article-title: Significance of maternal and cord blood nucleated red blood cell count in pregnancies complicated by preeclampsia publication-title: J. Pregnancy doi: 10.1155/2014/496416 – volume: 207 start-page: 292.e291 year: 2012 end-page: 294 ident: CR1 article-title: Neonatal respiratory morbidity in the early term delivery publication-title: Am. J. Obstet. Gynecol. doi: 10.1016/j.ajog.2012.07.022 – volume: 11 start-page: e1005583 year: 2015 ident: CR8 article-title: DNA methylation landscapes of human fetal development publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1005583 – volume: 39 start-page: 1240 year: 2010 end-page: 1249 ident: CR4 article-title: Gestational age differences in health and development among young Swedish men born at term publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyq070 – ident: CR28 – volume: 114 start-page: e327 year: 2004 end-page: e332 ident: CR3 article-title: Low-normal gestational age as a predictor of asthma at 6 years of age publication-title: Pediatrics doi: 10.1542/peds.2003-0838-L – volume: 17 year: 2016 ident: CR13 article-title: Critical evaluation of the illumina methylationEPIC BeadChip microarray for whole-genome DNA methylation profiling publication-title: Genome Biol. doi: 10.1186/s13059-016-1066-1 – volume: 6 start-page: 692 year: 2011 end-page: 702 ident: CR14 article-title: Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome publication-title: Epigenetics doi: 10.4161/epi.6.6.16196 – volume: 9 start-page: 22 year: 2016 end-page: 24 ident: CR81 article-title: Identification of polymorphic and off-target probe binding sites on the illumina infinium methylationEPIC beadChip publication-title: Genomics Data doi: 10.1016/j.gdata.2016.05.012 – volume: 13 year: 2021 ident: CR34 article-title: Detecting cord blood cell type-specific epigenetic associations with gestational diabetes mellitus and early childhood growth publication-title: Clin. Epigenetics doi: 10.1186/s13148-021-01114-5 – volume: 288 start-page: 8805 year: 2013 end-page: 8814 ident: CR68 article-title: High resolution methylome analysis reveals widespread functional hypomethylation during adult human erythropoiesis publication-title: J. Biol. Chem. doi: 10.1074/jbc.M112.423756 – volume: 10 year: 2019 ident: 4584_CR23 publication-title: Nat. Commun. doi: 10.1038/s41467-019-11052-9 – volume: 112 start-page: 470 year: 2008 ident: 4584_CR44 publication-title: Blood doi: 10.1182/blood-2008-03-077883 – volume: 47 start-page: 917 year: 2018 ident: 4584_CR25 publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyy029 – volume: 13 start-page: 2996 year: 1999 ident: 4584_CR54 publication-title: Genes Dev. doi: 10.1101/gad.13.22.2996 – volume: 13 year: 2012 ident: 4584_CR18 publication-title: BMC Bioinforma. doi: 10.1186/1471-2105-13-86 – ident: 4584_CR75 doi: 10.3390/children7110197 – ident: 4584_CR28 doi: 10.1093/ije/dyw029 – volume: 10 start-page: 3017 year: 2019 ident: 4584_CR46 publication-title: Front. Immunol. doi: 10.3389/fimmu.2019.03017 – volume: 41 start-page: 188 year: 2012 ident: 4584_CR62 publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyr237 – volume: 39 start-page: 1240 year: 2010 ident: 4584_CR4 publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyq070 – volume: 75 start-page: 1 year: 2010 ident: 4584_CR52 publication-title: Steroids doi: 10.1016/j.steroids.2009.09.002 – volume: 179 start-page: 834 year: 2014 ident: 4584_CR79 publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwt433 – volume: 8 start-page: e67489 year: 2013 ident: 4584_CR60 publication-title: PLoS ONE doi: 10.1371/journal.pone.0067489 – volume: 10 start-page: 391 year: 2014 ident: 4584_CR47 publication-title: Nat. Rev. Endocrinol. doi: 10.1038/nrendo.2014.73 – volume: 174 start-page: 2250 year: 2005 ident: 4584_CR56 publication-title: J. Immunol. doi: 10.4049/jimmunol.174.4.2250 – volume: 8 start-page: 77 year: 2014 ident: 4584_CR71 publication-title: J. Fam. Reprod. Health – volume: 24 start-page: 3752 year: 2015 ident: 4584_CR59 publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddv119 – volume: 106 start-page: 1519 year: 2021 ident: 4584_CR43 publication-title: Haematologica doi: 10.3324/haematol.2019.233056 – volume: 46 start-page: 100740 year: 2021 ident: 4584_CR39 publication-title: Blood Rev. doi: 10.1016/j.blre.2020.100740 – ident: 4584_CR2 doi: 10.2217/epi-2016-0157 – volume: 37 start-page: 559 year: 2009 ident: 4584_CR53 publication-title: Exp. Hematol. doi: 10.1016/j.exphem.2009.02.005 – volume: 114 start-page: e327 year: 2004 ident: 4584_CR3 publication-title: Pediatrics doi: 10.1542/peds.2003-0838-L – volume: 6 start-page: 1498 year: 2011 ident: 4584_CR61 publication-title: Epigenetics doi: 10.4161/epi.6.12.18296 – volume: 15 start-page: 1243 year: 2020 ident: 4584_CR12 publication-title: Epigenetics doi: 10.1080/15592294.2020.1767277 – volume: 36 start-page: 853 year: 2012 ident: 4584_CR72 publication-title: Coll. Antropol. – ident: 4584_CR78 doi: 10.5324/nje.v24i1-2.1755 – volume: 50 start-page: 112 year: 2014 ident: 4584_CR64 publication-title: Int J. Biochem. Cell Biol. doi: 10.1016/j.biocel.2014.02.019 – volume: 45 start-page: e22 year: 2017 ident: 4584_CR83 publication-title: Nucleic Acids Res. – volume: 110 start-page: 6518 year: 2013 ident: 4584_CR63 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1303976110 – volume: 9 start-page: 22 year: 2016 ident: 4584_CR81 publication-title: Genomics Data doi: 10.1016/j.gdata.2016.05.012 – volume: 13 year: 2022 ident: 4584_CR29 publication-title: Nat. Commun. doi: 10.1038/s41467-022-29540-w – volume: 17 year: 2016 ident: 4584_CR10 publication-title: Genome Biol. doi: 10.1186/s13059-016-1063-4 – volume: 116 start-page: 2921 year: 2010 ident: 4584_CR66 publication-title: Blood doi: 10.1182/blood-2010-01-262964 – volume: 2014 start-page: 496416 year: 2014 ident: 4584_CR73 publication-title: J. Pregnancy doi: 10.1155/2014/496416 – volume: 511 start-page: 606 year: 2014 ident: 4584_CR6 publication-title: Nature doi: 10.1038/nature13544 – volume: 13 year: 2021 ident: 4584_CR30 publication-title: Clin. Epigenetics doi: 10.1186/s13148-021-01055-z – volume: 11 start-page: e1005526 year: 2015 ident: 4584_CR42 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1005526 – volume: 23 year: 2022 ident: 4584_CR9 publication-title: BMC Genomics doi: 10.1186/s12864-022-08451-6 – volume: 193 start-page: 247 year: 2001 ident: 4584_CR65 publication-title: J. Exp. Med. doi: 10.1084/jem.193.2.247 – volume: 26 start-page: R216 year: 2017 ident: 4584_CR17 publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddx275 – volume: 15 start-page: 1059 year: 2018 ident: 4584_CR24 publication-title: Nat. Methods doi: 10.1038/s41592-018-0213-x – volume: 92 start-page: 158 year: 2007 ident: 4584_CR27 publication-title: Neonatology doi: 10.1159/000101567 – volume: 11 year: 2020 ident: 4584_CR33 publication-title: Nat. Commun. doi: 10.1038/s41467-020-18618-y – volume: 11 start-page: 705 year: 2017 ident: 4584_CR77 publication-title: Biomark. Med. doi: 10.2217/bmm-2017-0055 – volume: 19 year: 2018 ident: 4584_CR85 publication-title: Genome Biol. doi: 10.1186/s13059-018-1448-7 – volume: 89 start-page: 43 year: 2020 ident: 4584_CR57 publication-title: Exp. Hematol. doi: 10.1016/j.exphem.2020.07.011 – volume: 288 start-page: 8805 year: 2013 ident: 4584_CR68 publication-title: J. Biol. Chem. doi: 10.1074/jbc.M112.423756 – volume: 11 start-page: e1005583 year: 2015 ident: 4584_CR8 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1005583 – volume: 84 start-page: F211 year: 2001 ident: 4584_CR37 publication-title: Arch. Dis. Child Fetal Neonatal Ed. doi: 10.1136/fn.84.3.F211 – volume: 9 year: 2017 ident: 4584_CR70 publication-title: Clin. Epigenetics doi: 10.1186/s13148-017-0349-z – volume: 17 year: 2016 ident: 4584_CR11 publication-title: Genome Biol. doi: 10.1186/s13059-016-1068-z – volume: 12 year: 2020 ident: 4584_CR5 publication-title: Genome Med. doi: 10.1186/s13073-020-0716-9 – volume: 25 start-page: 2890 year: 2006 ident: 4584_CR55 publication-title: Oncogene doi: 10.1038/sj.onc.1209308 – volume: 10 year: 2018 ident: 4584_CR69 publication-title: Clin. Epigenetics doi: 10.1186/s13148-018-0520-1 – volume: 111 start-page: 16262 year: 2014 ident: 4584_CR31 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1314814111 – volume: 13 year: 2021 ident: 4584_CR34 publication-title: Clin. Epigenetics doi: 10.1186/s13148-021-01114-5 – volume: 6 start-page: 692 year: 2011 ident: 4584_CR14 publication-title: Epigenetics doi: 10.4161/epi.6.6.16196 – volume: 10 year: 2019 ident: 4584_CR22 publication-title: Nat. Commun. doi: 10.1038/s41467-019-10864-z – volume: 94 start-page: 550 year: 1999 ident: 4584_CR50 publication-title: Blood doi: 10.1182/blood.V94.2.550 – volume: 17 year: 2015 ident: 4584_CR76 publication-title: Biomed. Microdevices doi: 10.1007/s10544-015-0021-3 – volume: 106 start-page: 17413 year: 2009 ident: 4584_CR41 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.0909296106 – volume: 21 year: 2020 ident: 4584_CR20 publication-title: Genome Biol. doi: 10.1186/s13059-020-02126-9 – volume: 95 start-page: 13 year: 2021 ident: 4584_CR40 publication-title: Exp. Hematol. doi: 10.1016/j.exphem.2021.01.001 – volume: 117 start-page: 3435 year: 2011 ident: 4584_CR49 publication-title: Blood doi: 10.1182/blood-2010-07-295550 – ident: 4584_CR87 – volume: 9 year: 2017 ident: 4584_CR35 publication-title: Clin. Epigenetics doi: 10.1186/s13148-017-0339-1 – volume: 12 start-page: e0181155 year: 2017 ident: 4584_CR7 publication-title: PLoS ONE doi: 10.1371/journal.pone.0181155 – volume: 9 start-page: 757 year: 2017 ident: 4584_CR16 publication-title: Epigenomics doi: 10.2217/epi-2016-0153 – volume: 207 start-page: 292.e291 year: 2012 ident: 4584_CR1 publication-title: Am. J. Obstet. Gynecol. doi: 10.1016/j.ajog.2012.07.022 – volume: 12 start-page: 106 year: 1998 ident: 4584_CR36 publication-title: Blood Rev. doi: 10.1016/S0268-960X(98)90022-4 – volume: 317 start-page: 24 year: 2008 ident: 4584_CR58 publication-title: Dev. Biol. doi: 10.1016/j.ydbio.2008.01.047 – volume: 20 year: 2019 ident: 4584_CR80 publication-title: Genome Biol. doi: 10.1186/s13059-019-1664-9 – volume: 11 year: 2019 ident: 4584_CR19 publication-title: Clin. Epigenetics doi: 10.1186/s13148-019-0717-y – volume: 29 start-page: 189 year: 2013 ident: 4584_CR82 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts680 – volume: 35 start-page: 469 year: 2015 ident: 4584_CR26 publication-title: J. Perinatol. doi: 10.1038/jp.2014.241 – volume: 7 start-page: e41361 year: 2012 ident: 4584_CR15 publication-title: PLoS ONE doi: 10.1371/journal.pone.0041361 – volume: 35 start-page: 3898 year: 2019 ident: 4584_CR21 publication-title: Bioinforma. doi: 10.1093/bioinformatics/btz196 – volume: 28 start-page: 2996 year: 2019 ident: 4584_CR67 publication-title: Cell Rep. doi: 10.1016/j.celrep.2019.08.020 – volume: 3 start-page: a011643 year: 2013 ident: 4584_CR45 publication-title: Cold Spring Harb. Perspect. Med. doi: 10.1101/cshperspect.a011643 – ident: 4584_CR86 – volume: 17 year: 2016 ident: 4584_CR13 publication-title: Genome Biol. doi: 10.1186/s13059-016-1066-1 – volume: 152 start-page: 2716 year: 2011 ident: 4584_CR48 publication-title: Endocrinology doi: 10.1210/en.2010-1443 – volume: 11 year: 2021 ident: 4584_CR38 publication-title: Sci. Rep. doi: 10.1038/s41598-021-96585-0 – volume: 522 start-page: 474 year: 2015 ident: 4584_CR51 publication-title: Nature doi: 10.1038/nature14326 – volume: 28 start-page: 495 year: 2010 ident: 4584_CR32 publication-title: Nat. Biotechnol. doi: 10.1038/nbt.1630 – volume: 61 start-page: 592 year: 2020 ident: 4584_CR74 publication-title: Pediatr. Neonatol. doi: 10.1016/j.pedneo.2020.07.009 – volume: 14 year: 2013 ident: 4584_CR84 publication-title: BMC Genomics doi: 10.1186/1471-2164-14-293  | 
    
| SSID | ssj0001999634 | 
    
| Score | 2.268103 | 
    
| Snippet | Determining if specific cell type(s) are responsible for an association between DNA methylation (DNAm) and a given phenotype is important for understanding the... CpG sites associated with gestational age are predominantly found in nucleated red blood cells, which point to an epigenetic signature of erythropoiesis as...  | 
    
| SourceID | doaj unpaywall pubmedcentral cristin proquest pubmed crossref springer  | 
    
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher  | 
    
| StartPage | 224 | 
    
| SubjectTerms | 45/61 631/136/232/1473 631/208/176/1988 Age Algorithms Biology Biomedical and Life Sciences Blood CpG islands DNA Methylation Epigenetics Epigenomics Erythroblasts Erythrocytes Erythropoiesis Gestational Age Life Sciences Neonates Phenotypes  | 
    
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9MwED-NTgh4QHwvMJCReGPR2iT-yANCG2yakKgQYtLeLMcfMKkkXT9U-t9zdpyUClTx0DzUjuT47nw_-86_A3iDKEIblbFU8UqlhXI0VdRUaTayJnOFE1lI-f88ZheXxacrerUH4-4ujE-r7NbEsFCbRvsz8uOMC9wuoPPk76c3qa8a5aOrXQkNFUsrmHeBYuwW7GeeGWsA-6dn4y9fN6cuHt_nRbw9M8zF8bwI6VnoutIQM0xXiIR1MLB6y1cFSv9_4dC_0yn7mOo9uLOsp2q9UpPJH27r_AHcj3iTnLQK8hD2bP0IbrcVKNePwY49nzHiTUNm-Atp7MQf5s-J_TWdqOua_GzmC9I4gkiRqI0wSczwIh_HJ8TXoV63WXVE1Yb4oFU8ZSS4YD2By_Ozbx8u0lh5IdUI8Bb-GtWQlUy7UcZN4bRSJafUogE7TYW_fW2rYlhZhs2KOuZKVgoqNHdcWF3R_CkM6qa2B0AoIjYfmxvy0rP_UZUVilqB-87c4lbSJJDE2ZY1Kr0nLKUZPhl60QRG3fxLHSnLfeWMiQyh81zIVnoSpSeD9OQqgbf9O9OWsGNn71Mv1r6nJ9sOfzSz7zLarmSCasUdG3nspXHbXVVFrkdlVXIjTF4lcNgphYwrwFxu9DWB130z2q6Xoapts2z7oDNCzJvAs1aH-pHkTBQlYqcE-JZ2bQ11u6W-_hH4wcuS--JxCRx1ergZ1q6pOOp19T9m7vnuj34Bd7NgU_7y1yEMFrOlfYnwbVG9ijb5G0LNP7c priority: 102 providerName: ProQuest – databaseName: Springer Nature HAS Fully OA dbid: AAJSJ link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LbxMxEB6VVAg4IN4sFGQkbmRF9uHXMTyqKhK5QKXeLNtri0qpEzWJQv49Y-9mQ1RUwSF7iO2V5ZnZ-cbzAniPKMI2umS55kbntfY017QxeVm4pvS1F2UK-f82ZWfn9eSCXhzBcJcLc-C_T6W7l3WKn0LdkienXr65A8cCGVMM4Hg8nnyf7O9UInqv6i43Bpd_vLkYca5N4hMONFEq2P83lHkzWLL3mD6Ae-uw0NuNns3-UEqnj-BhhybJuCX_Yzhy4QncbftLbp-Cm8ZqxYgmG3KNvxSkTuJV_ZK4X4uZvgzkar5ckbkniAOJ3pOKdPFb5Mt0TGKX6W0bM0d0aEh0SXV3iAQ_R8_g_PTrj89neddXIbcI31YxSWrEJLO-KHlTe6u15JQ6FE9vqYi51c7UI-MYDmvqmZdMCios91w4a2j1HAZhHtxLIBTxWPS8jbiMtf2oLmtNnUCrsnJoKDYZZN1pq4AsHcuR0hKfDHVkBsXu_JXtCpLHvhgzlRzjlVAt9RRSTyXqqU0GH_o1i7Ycx62zP0Wy9jNjKe30B3KY6iRTMUGt5p4VEVlZNKqNqStbSCN5I5rKZHCyYwrVyfdSlVyg8YpQjmfwrh9GyYw01MHN1-0cVDWIaDN40fJQv5OKiVoiMsqAH3DXwVYPR8Llz1T9W0oeW8NlMNzx4X5btx3FsOfVfzi5V__39tdwv0wyFlO9TmCwul67NwjWVuZtJ6O_AeaHNDg priority: 102 providerName: Springer Nature – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LbxMxEB6VVAg48H4sFGQkbnRDsrt-HcOjqpCIOBBRTpbttaEibKI8FMKvZ-x9lEBV0UNyiGcl73jG_pyZ-QbgBaIIW-qMpZobnRba01TT0qTZ0JWZL7zIYsr_hzE7nhTvT-jJHrC2FiYm7UdKy7hNt9lhr5ZFzKLCEyaNob1005-X_grsM4oYvAf7k_HH0ZfYSU7KNEdU3VTIDHJxzsOIdm10omrnPIq0_edhzX9TJru46Q24tq7mervR0-kfR9PRLfjcvlSdkfK9v16Zvv31F9_j5d_6Ntxs0CoZ1ZJ3YM9Vd-Fq3b9yew_cOLAhI1otyQI_MQmehFDAkrif86k-rciP2XJFZp4gziT6zBRIkx9G3o5HJHSx3tY5eURXJQkhr-Y_SoLb3X2YHL379OY4bfo2pBbh4SoUYQ2YZNYPM14W3motOaUO3d9bKkLttjPFwDiGw5p65iWTggrLPRfOGpo_gF41q9wjIBTxXojsDbgM3IFUZ4WmTuCtNXd4ES0TSJp1VBW6TKA7pRl-MzyDExi2K6tsQ3ge-m5MVQy850LV6lWoXhXVqzYJvOyemdd0HxdKvw4G00kGqu74w2zxVTWLqJigVnPPhgG5Wby0G1PkdiiN5KUoc5PAQWtuqtk_lirjAi_HCBV5As-7YfT8sIa6crN1LYNHGSLmBB7W1tnNJGeikIi8EuA7drsz1d2R6vRbZBeXkofWcwkcthZ-Nq2LVHHYecF_aO7x5cSfwPUsOkEoJTuA3mqxdk8RDK7Ms8bzfwMa6lcA priority: 102 providerName: Unpaywall  | 
    
| Title | Nucleated red blood cells explain most of the association between DNA methylation and gestational age | 
    
| URI | https://link.springer.com/article/10.1038/s42003-023-04584-w https://www.ncbi.nlm.nih.gov/pubmed/36849614 https://www.proquest.com/docview/2780269767 https://www.proquest.com/docview/2780762511 http://hdl.handle.net/10852/106678 https://pubmed.ncbi.nlm.nih.gov/PMC9971030 https://www.nature.com/articles/s42003-023-04584-w.pdf https://doaj.org/article/685ca7f611554c978bb43c19b97d8d3b  | 
    
| UnpaywallVersion | publishedVersion | 
    
| Volume | 6 | 
    
| hasFullText | 1 | 
    
| inHoldings | 1 | 
    
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: DOA dateStart: 20180101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: ABDBF dateStart: 20180419 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: M~E dateStart: 20180101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: RPM dateStart: 20180101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVAQT databaseName: Springer Nature - nature.com Journals - Fully Open Access customDbUrl: eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: NAO dateStart: 20181201 isFulltext: true titleUrlDefault: https://www.nature.com/siteindex/index.html providerName: Nature Publishing – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: BENPR dateStart: 20180101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: Springer Nature HAS Fully OA customDbUrl: eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: AAJSJ dateStart: 20181201 isFulltext: true titleUrlDefault: https://www.springernature.com providerName: Springer Nature – providerCode: PRVAVX databaseName: Springer Nature OA Free Journals customDbUrl: eissn: 2399-3642 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001999634 issn: 2399-3642 databaseCode: C6C dateStart: 20181201 isFulltext: true titleUrlDefault: http://www.springeropen.com/ providerName: Springer Nature  | 
    
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3da9swED-2jrHtYey73rqgwd5W08S2vh7drKUEZsq2QPckZFmihcwJTUKa_34n2XETNro97CEOWDLI9-H7ne50B_ARUYSpdMJizUsdZ9rRWNOqjJOBrRKXOZGElP8vBTsbZ6MLerHV6svnhDXlgRvCHTFBjeaODbzhM-jzlGWWmoEsJa9ElZb-69sXcsuZCrsrHsenWXtKpp-Ko3kW0rDQRMUhNhivEPGaoEj1jk0Kpfv_hDd_T5vsYqdP4NGynun1Sk8mW-bp9Bk8bXElyZv3eQ73bP0CHjadJtcvwRa-bjHiyopc4y-kqxO_aT8n9mY20Vc1-TmdL8jUEUSERN8yjbSZXORzkRPfb3rdZM8RXVfEB6fa3USCH6ZXMD49-T48i9sOC7FBILfwx6X6TDLjBgmvMme0lpxSi4rqDBX-lLUts35pGQ5r6piTTAoqDHdcWFPS9DXs1dPa7gOhiMx8DK7Ppa_yR3WSaWoF-pepRZexiiBqqa1qFG5fmJQmeGVoLSMYbOivTFua3HfImKgQIk-FarinkHsqcE-tIvjUPTNrCnPcOfvYs7Wb6YtqhxsoaqoVNfU3UYvgYCMUqtX0uUq4QDcWQR2P4EM3jDrqeahrO102c9DoILaN4E0jQ91KUiYyiRgpAr4jXTtL3R2pry5DHXApuW8SF8HhRg5vl3UXKQ47Wf0Hyr39H5R7B4-ToHn-KNgB7C2ul_Y9grlF2YMHeT76NsL_45Pi_GsP7g_ZsBe0Ge-Ni_P8xy-1Ckct | 
    
| linkProvider | Directory of Open Access Journals | 
    
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwED9Nm9DYA-KbwAAjwROL1iZ27DxMaGObOrZVCG3S3ozjOGxSSUo_VPrP8bdxdpyUClTxsofmoXYkx3e--53vC-AtogidqygJFc9USFXBQsXyLIy6Jo8KWojIhfyf95PeJf10xa7W4FeTC2PDKhuZ6AR1Xml7R74bcYHmAipP_mH4I7Rdo6x3tWmhoXxrhXzPlRjziR2nZj5DE268d3KI9H4XRcdHFx97oe8yEGoEMxObMtRJ0kQX3YjntNBKpZwxg8xaaCZsprHJaCczCQ4rViRFmqSCCc0LLozObNcIVAEbNKYpGn8bB0f9z18WtzzWnoipz9bpxGJ3TF04GKrK0Pkowxkib-0OdLmkG10LgX_h3r_DN1sf7hZsTsuhms_UYPCHmjy-D_c8viX7NUM-gDVTPoQ7dcfL-SMwfVs_GfFtTkb4c2HzxDoPxsT8HA7UTUm-V-MJqQqCyJSoBfMQH1FGDvv7xPa9ntdRfESVObFOMn-rSVBAPobLW6HBE1gvq9I8A8IQIVpfYIenttogUxFVzAi0c2ODpmseQOB3W5Z4yGyBVBbhM0GtHUC32X-pfYl026ljIJ2rPhaypp5E6klHPTkL4H37zrAuELJy9oElazvTFvd2f1Sjb9LLCpkIphUvkq7FehrN_Cyjse6mWcpzkcdZANsNU0gvccZycT4CeNMOo6ywNFSlqab1HFR-iLEDeFrzULuSOBE0RawWAF_irqWlLo-UN9euHnmactusLoCdhg8Xy1q1FTstr_7Hzj1f_dGvYbN3cX4mz076py_gbuTOl00824b1yWhqXiJ0nGSv_Pkk8PW2RcJvqsF8Ww | 
    
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Zj9MwEB4tu-J6QNwEFjASb2ygOXzksbBUS4EKCVbaN8vxASuVpOqh0n_P2DlKxWoFD8lD7ESOZ8bz2XMBvEQUoY1KWax4qeJcORoraso4TaxJXe5EGlz-P0_YyWk-PqNne8C6WJjgtB9SWoZluvMOe7PIgxcVapg4mPbi9euZcVfgQPCMITcfDIfjr-Pt6YrH8VneRskMMnHBBxDx6iBI1Y5OCqn7L8Kbf7tN9rbTm3B9Vc3UZq2m0z_U0-g23GpxJRk2f3IH9mx1F642lSY398BOfN5ixJWGzPEK7urEH9oviP01m6rzivysF0tSO4KIkKgt0UjryUWOJ0Pi601vGu85oipDvHGqPU0kuDDdh9PR-2_vTuK2wkKsEcgtfbjUgBVMuyTlJndaqYJTalFQnabCR1nbMh-UlmGzoo65ghWCCs0dF1aXNHsA-1Vd2UdAKCIzb4Mb8MJn-aMqzRW1AveXmcUto4kgamdbVsjcPjEpTfHOUFtGkHTzL3WbmtxXyJjKYCLPhGyoJ5F6MlBPriN41b8zaxJzXNr7rSdr39Mn1Q4P6vl32TKZZIJqxR1LPMbSuL0uyzzTSVEW3AiTlREcdkwhW0lfyJQL3MYiqOMRvOibUUY9DVVl61XTB5UOYtsIHjY81I8kYyIvECNFwHe4a2eouy3V-Y-QB7wouC8SF8FRx4fbYV02FUc9r_7DzD3-v68_h2tfjkfy04fJxydwIw3i5uO_DmF_OV_Zp4jgluWzVlx_A7mxPKo | 
    
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LbxMxEB6VVAg48H4sFGQkbnRDsrt-HcOjqpCIOBBRTpbttaEibKI8FMKvZ-x9lEBV0UNyiGcl73jG_pyZ-QbgBaIIW-qMpZobnRba01TT0qTZ0JWZL7zIYsr_hzE7nhTvT-jJHrC2FiYm7UdKy7hNt9lhr5ZFzKLCEyaNob1005-X_grsM4oYvAf7k_HH0ZfYSU7KNEdU3VTIDHJxzsOIdm10omrnPIq0_edhzX9TJru46Q24tq7mervR0-kfR9PRLfjcvlSdkfK9v16Zvv31F9_j5d_6Ntxs0CoZ1ZJ3YM9Vd-Fq3b9yew_cOLAhI1otyQI_MQmehFDAkrif86k-rciP2XJFZp4gziT6zBRIkx9G3o5HJHSx3tY5eURXJQkhr-Y_SoLb3X2YHL379OY4bfo2pBbh4SoUYQ2YZNYPM14W3motOaUO3d9bKkLttjPFwDiGw5p65iWTggrLPRfOGpo_gF41q9wjIBTxXojsDbgM3IFUZ4WmTuCtNXd4ES0TSJp1VBW6TKA7pRl-MzyDExi2K6tsQ3ge-m5MVQy850LV6lWoXhXVqzYJvOyemdd0HxdKvw4G00kGqu74w2zxVTWLqJigVnPPhgG5Wby0G1PkdiiN5KUoc5PAQWtuqtk_lirjAi_HCBV5As-7YfT8sIa6crN1LYNHGSLmBB7W1tnNJGeikIi8EuA7drsz1d2R6vRbZBeXkofWcwkcthZ-Nq2LVHHYecF_aO7x5cSfwPUsOkEoJTuA3mqxdk8RDK7Ms8bzfwMa6lcA | 
    
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Nucleated+red+blood+cells+explain+most+of+the+association+between+DNA+methylation+and+gestational+age&rft.jtitle=Communications+biology&rft.au=Haftorn%2C+Kristine+L&rft.au=Denault%2C+William+R+P&rft.au=Lee%2C+Yunsung&rft.au=Page%2C+Christian+M&rft.date=2023-02-27&rft.issn=2399-3642&rft.eissn=2399-3642&rft.volume=6&rft.issue=1&rft.spage=224&rft_id=info:doi/10.1038%2Fs42003-023-04584-w&rft.externalDBID=NO_FULL_TEXT | 
    
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2399-3642&client=summon | 
    
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2399-3642&client=summon | 
    
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2399-3642&client=summon |