{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T08:26:21Z","timestamp":1793780781009,"version":"4.6.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T00:00:00Z","timestamp":1722816000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T00:00:00Z","timestamp":1722816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["K01MH129510"],"award-info":[{"award-number":["K01MH129510"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["R01HD072267"],"award-info":[{"award-number":["R01HD072267"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["R01HD084515"],"award-info":[{"award-number":["R01HD084515"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["R01HD084515"],"award-info":[{"award-number":["R01HD084515"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["P30 ES019776"],"award-info":[{"award-number":["P30 ES019776"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-024-68071-w","type":"journal-article","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T22:09:28Z","timestamp":1722895768000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Epigenetic associations with neonatal age in infants born very preterm, particularly among genes involved in neurodevelopment"],"prefix":"10.1038","volume":"14","author":[{"given":"Kenyaita M.","family":"Hodge","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amber A.","family":"Burt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marie","family":"Camerota","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian S.","family":"Carter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Check","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen N.","family":"Conneely","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Helderman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie A.","family":"Hofheimer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anke","family":"H\u00fcls","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabeth C.","family":"McGowan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles R.","family":"Neal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven L.","family":"Pastyrnak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lynne M.","family":"Smith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheri A.","family":"DellaGrotta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lynne M.","family":"Dansereau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. Michael","family":"O\u2019Shea","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmen J.","family":"Marsit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barry M.","family":"Lester","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Todd M.","family":"Everson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,5]]},"reference":[{"key":"68071_CR1","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/s11065-010-9148-4","volume":"20","author":"J Stiles","year":"2010","unstructured":"Stiles, J. & Jernigan, T. L. The basics of brain development. Neuropsychol. Rev. 20, 327\u2013348. https:\/\/doi.org\/10.1007\/s11065-010-9148-4 (2010).","journal-title":"Neuropsychol. Rev."},{"key":"68071_CR2","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1038\/nrn.2018.1","volume":"19","author":"JH Gilmore","year":"2018","unstructured":"Gilmore, J. H., Knickmeyer, R. C. & Gao, W. Imaging structural and functional brain development in early childhood. Nat. Rev. Neurosci. 19, 123\u2013137. https:\/\/doi.org\/10.1038\/nrn.2018.1 (2018).","journal-title":"Nat. Rev. Neurosci."},{"key":"68071_CR3","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.prrv.2009.12.006","volume":"11","author":"LJ Smith","year":"2010","unstructured":"Smith, L. J., McKay, K. O., van Asperen, P. P., Selvadurai, H. & Fitzgerald, D. A. Normal development of the lung and premature birth. Paediatr. Respir. Rev. 11, 135\u2013142. https:\/\/doi.org\/10.1016\/j.prrv.2009.12.006 (2010).","journal-title":"Paediatr. Respir. Rev."},{"key":"68071_CR4","doi-asserted-by":"publisher","first-page":"1164","DOI":"10.1093\/hmg\/ddq561","volume":"20","author":"DG Hernandez","year":"2011","unstructured":"Hernandez, D. G. et al. Distinct DNA methylation changes highly correlated with chronological age in the human brain. Hum. Mol. Genet. 20, 1164\u20131172 (2011).","journal-title":"Hum. Mol. Genet."},{"key":"68071_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-54355-z","volume":"9","author":"E Wikenius","year":"2019","unstructured":"Wikenius, E., Moe, V., Smith, L., Heiervang, E. R. & Berglund, A. DNA methylation changes in infants between 6 and 52 weeks. Sci. Rep. 9, 1\u201312 (2019).","journal-title":"Sci. Rep."},{"key":"68071_CR6","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/s40610-016-0030-x","volume":"2","author":"L Cao-Lei","year":"2016","unstructured":"Cao-Lei, L., Laplante, D. P. & King, S. Prenatal maternal stress and epigenetics: Review of the human research. Curr. Mol. Biol. Rep. 2, 16\u201325. https:\/\/doi.org\/10.1007\/s40610-016-0030-x (2016).","journal-title":"Curr. Mol. Biol. Rep."},{"key":"68071_CR7","doi-asserted-by":"publisher","first-page":"e67489","DOI":"10.1371\/journal.pone.0067489","volume":"8","author":"SE Parets","year":"2013","unstructured":"Parets, S. E. et al. Fetal DNA methylation associates with early spontaneous preterm birth and gestational age. PLoS ONE 8, e67489. https:\/\/doi.org\/10.1371\/journal.pone.0067489 (2013).","journal-title":"PLoS ONE"},{"key":"68071_CR8","doi-asserted-by":"publisher","first-page":"23280","DOI":"10.1073\/pnas.1820842116","volume":"117","author":"N Proven\u00e7al","year":"2020","unstructured":"Proven\u00e7al, N. et al. Glucocorticoid exposure during hippocampal neurogenesis primes future stress response by inducing changes in DNA methylation. Proc. Natl. Acad. Sci. 117, 23280. https:\/\/doi.org\/10.1073\/pnas.1820842116 (2020).","journal-title":"Proc. Natl. Acad. Sci."},{"key":"68071_CR9","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1289\/EHP595","volume":"125","author":"CV Breton","year":"2017","unstructured":"Breton, C. V. et al. Small-magnitude effect sizes in epigenetic end points are important in children\u2019s environmental health studies: The children\u2019s environmental health and disease prevention research center\u2019s epigenetics working group. Environ. Health Perspect. 125, 511\u2013526. https:\/\/doi.org\/10.1289\/EHP595 (2017).","journal-title":"Environ. Health Perspect."},{"key":"68071_CR10","doi-asserted-by":"publisher","first-page":"23329","DOI":"10.1073\/pnas.1820843116","volume":"117","author":"M McEwen Lisa","year":"2020","unstructured":"McEwen Lisa, M. et al. The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells. Proc. Natl. Acad. Sci. 117, 23329\u201323335. https:\/\/doi.org\/10.1073\/pnas.1820843116 (2020).","journal-title":"Proc. Natl. Acad. Sci."},{"key":"68071_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gb-2013-14-10-r115","volume":"14","author":"S Horvath","year":"2013","unstructured":"Horvath, S. DNA methylation age of human tissues and cell types. Genome Biol. 14, 1\u201320 (2013).","journal-title":"Genome Biol."},{"key":"68071_CR12","doi-asserted-by":"publisher","first-page":"23527","DOI":"10.18632\/aging.203637","volume":"13","author":"S Graw","year":"2021","unstructured":"Graw, S. et al. NEOage clocks-epigenetic clocks to estimate post-menstrual and postnatal age in preterm infants. Aging 13, 23527 (2021).","journal-title":"Aging"},{"key":"68071_CR13","doi-asserted-by":"publisher","first-page":"3027","DOI":"10.1016\/S0140-6736(16)31593-8","volume":"388","author":"L Liu","year":"2016","unstructured":"Liu, L. et al. Global, regional, and national causes of under-5 mortality in 2000\u201315: An updated systematic analysis with implications for the sustainable development goals. Lancet 388, 3027\u20133035. https:\/\/doi.org\/10.1016\/S0140-6736(16)31593-8 (2016).","journal-title":"Lancet"},{"key":"68071_CR14","unstructured":"UNICEF, W., World Bank, UN-DESA population division. Levels and trends in child mortality: report 2017, <http:\/\/www.who.int\/maternal_child_adolescent\/documents\/levels_trends_child_mortality_2017\/en\/> (2018)."},{"key":"68071_CR15","doi-asserted-by":"publisher","first-page":"S14","DOI":"10.1055\/s-0042-1756677","volume":"39","author":"BW Kramer","year":"2022","unstructured":"Kramer, B. W., Niklas, V. & Abman, S. Bronchopulmonary dysplasia and impaired neurodevelopment\u2014What may be the missing link?. Am. J. Perinatol. 39, S14\u2013S17. https:\/\/doi.org\/10.1055\/s-0042-1756677 (2022).","journal-title":"Am. J. Perinatol."},{"key":"68071_CR16","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1017\/s001216220000013x","volume":"42","author":"A Majnemer","year":"2000","unstructured":"Majnemer, A. et al. Severe bronchopulmonary dysplasia increases risk for later neurological and motor sequelae in preterm survivors. Dev. Med. Child Neurol. 42, 53\u201360. https:\/\/doi.org\/10.1017\/s001216220000013x (2000).","journal-title":"Dev. Med. Child Neurol."},{"key":"68071_CR17","doi-asserted-by":"publisher","first-page":"158","DOI":"10.3389\/fendo.2016.00158","volume":"7","author":"C Piyasena","year":"2016","unstructured":"Piyasena, C. et al. Dynamic changes in DNA methylation occur during the first year of life in preterm infants. Front. Endocrinol. 7, 158 (2016).","journal-title":"Front. Endocrinol."},{"key":"68071_CR18","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1186\/s12881-019-0835-6","volume":"20","author":"J Schuster","year":"2019","unstructured":"Schuster, J. et al. Effect of prematurity on genome wide methylation in the placenta. BMC Med. Genet. 20, 116. https:\/\/doi.org\/10.1186\/s12881-019-0835-6 (2019).","journal-title":"BMC Med. Genet."},{"key":"68071_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12920-018-0466-3","volume":"12","author":"XM Wang","year":"2019","unstructured":"Wang, X. M. et al. Comparison of DNA methylation profiles associated with spontaneous preterm birth in placenta and cord blood. BMC Med. Genom. 12, 1. https:\/\/doi.org\/10.1186\/s12920-018-0466-3 (2019).","journal-title":"BMC Med. Genom."},{"key":"68071_CR20","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1038\/s41398-019-0376-y","volume":"9","author":"PR Braun","year":"2019","unstructured":"Braun, P. R. et al. Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals. Transl. Psychiatr. 9, 47. https:\/\/doi.org\/10.1038\/s41398-019-0376-y (2019).","journal-title":"Transl. Psychiatr."},{"key":"68071_CR21","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1002\/pro.3715","volume":"28","author":"M Kanehisa","year":"2019","unstructured":"Kanehisa, M. Toward understanding the origin and evolution of cellular organisms. Protein Sci. 28, 1947\u20131951. https:\/\/doi.org\/10.1002\/pro.3715 (2019).","journal-title":"Protein Sci."},{"key":"68071_CR22","doi-asserted-by":"publisher","first-page":"D587","DOI":"10.1093\/nar\/gkac963","volume":"51","author":"M Kanehisa","year":"2023","unstructured":"Kanehisa, M., Furumichi, M., Sato, Y., Kawashima, M. & Ishiguro-Watanabe, M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51, D587\u2013D592. https:\/\/doi.org\/10.1093\/nar\/gkac963 (2023).","journal-title":"Nucleic Acids Res."},{"key":"68071_CR23","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa, M. & Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 27\u201330. https:\/\/doi.org\/10.1093\/nar\/28.1.27 (2000).","journal-title":"Nucleic Acids Res."},{"key":"68071_CR24","doi-asserted-by":"publisher","first-page":"1958","DOI":"10.1093\/bioinformatics\/bty892","volume":"35","author":"X Ren","year":"2019","unstructured":"Ren, X. & Kuan, P. F. methylGSA: A bioconductor package and Shiny app for DNA methylation data length bias adjustment in gene set testing. Bioinformatics 35, 1958\u20131959. https:\/\/doi.org\/10.1093\/bioinformatics\/bty892 (2019).","journal-title":"Bioinformatics"},{"key":"68071_CR25","doi-asserted-by":"publisher","DOI":"10.1101\/2021.05.21.445209","author":"CE Breeze","year":"2021","unstructured":"Breeze, C. E. Cell type-specific signal analysis in EWAS. bioRxiv https:\/\/doi.org\/10.1101\/2021.05.21.445209 (2021).","journal-title":"bioRxiv"},{"key":"68071_CR26","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1016\/j.celrep.2016.10.059","volume":"17","author":"CE Breeze","year":"2016","unstructured":"Breeze, C. E. et al. eFORGE: A tool for identifying cell type-specific signal in epigenomic data. Cell Rep. 17, 2137\u20132150. https:\/\/doi.org\/10.1016\/j.celrep.2016.10.059 (2016).","journal-title":"Cell Rep."},{"key":"68071_CR27","doi-asserted-by":"publisher","first-page":"4767","DOI":"10.1093\/bioinformatics\/btz456","volume":"35","author":"CE Breeze","year":"2019","unstructured":"Breeze, C. E. et al. eFORGE v2.0: Updated analysis of cell type-specific signal in epigenomic data. Bioinformatics 35, 4767\u20134769. https:\/\/doi.org\/10.1093\/bioinformatics\/btz456 (2019).","journal-title":"Bioinformatics"},{"key":"68071_CR28","doi-asserted-by":"publisher","DOI":"10.1101\/2021.04.08.21255064","author":"ENW Wheater","year":"2021","unstructured":"Wheater, E. N. W. et al. DNA methylation and brain dysmaturation in preterm infants. medRxiv https:\/\/doi.org\/10.1101\/2021.04.08.21255064 (2021).","journal-title":"medRxiv"},{"key":"68071_CR29","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1136\/heartjnl-2020-318241","volume":"108","author":"C Greer","year":"2022","unstructured":"Greer, C., Troughton, R. W., Adamson, P. D. & Harris, S. L. Preterm birth and cardiac function in adulthood. Heart 108, 172\u2013177. https:\/\/doi.org\/10.1136\/heartjnl-2020-318241 (2022).","journal-title":"Heart"},{"key":"68071_CR30","doi-asserted-by":"publisher","first-page":"e716","DOI":"10.1038\/tp.2015.210","volume":"6","author":"S Sparrow","year":"2016","unstructured":"Sparrow, S. et al. Epigenomic profiling of preterm infants reveals DNA methylation differences at sites associated with neural function. Transl. Psychiatr. 6, e716. https:\/\/doi.org\/10.1038\/tp.2015.210 (2016).","journal-title":"Transl. Psychiatr."},{"key":"68071_CR31","doi-asserted-by":"publisher","first-page":"1526","DOI":"10.1038\/s41386-021-01016-3","volume":"46","author":"J Scarborough","year":"2021","unstructured":"Scarborough, J. et al. Symptomatic and preventive effects of the novel phosphodiesterase-9 inhibitor BI 409306 in an immune-mediated model of neurodevelopmental disorders. Neuropsychopharmacology 46, 1526\u20131534. https:\/\/doi.org\/10.1038\/s41386-021-01016-3 (2021).","journal-title":"Neuropsychopharmacology"},{"key":"68071_CR32","doi-asserted-by":"publisher","first-page":"837","DOI":"10.3389\/fnins.2019.00837","volume":"13","author":"JF Harms","year":"2019","unstructured":"Harms, J. F., Menniti, F. S. & Schmidt, C. J. Phosphodiesterase 9A in brain regulates cGMP signaling independent of nitric-oxide. Front. Neurosci. 13, 837. https:\/\/doi.org\/10.3389\/fnins.2019.00837 (2019).","journal-title":"Front. Neurosci."},{"key":"68071_CR33","doi-asserted-by":"publisher","first-page":"753","DOI":"10.18632\/aging.101187","volume":"9","author":"MC Benton","year":"2017","unstructured":"Benton, M. C. et al. Methylome-wide association study of whole blood DNA in the Norfolk Island isolate identifies robust loci associated with age. Aging 9, 753\u2013768. https:\/\/doi.org\/10.18632\/aging.101187 (2017).","journal-title":"Aging"},{"key":"68071_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.fsigen.2017.11.005","volume":"33","author":"L Shi","year":"2018","unstructured":"Shi, L. et al. DNA methylation markers in combination with skeletal and dental ages to improve age estimation in children. Forensic Sci. Int. Genet. 33, 1\u20139. https:\/\/doi.org\/10.1016\/j.fsigen.2017.11.005 (2018).","journal-title":"Forensic Sci. Int. Genet."},{"key":"68071_CR35","volume-title":"Practical Guide to Life Science Databases","author":"M Safran","year":"2021","unstructured":"Safran, M. et al. Practical Guide to Life Science Databases (Springer, 2021)."},{"key":"68071_CR36","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1186\/s13148-023-01463-3","volume":"15","author":"VA Cameron","year":"2023","unstructured":"Cameron, V. A. et al. DNA methylation patterns at birth predict health outcomes in young adults born very low birthweight. Clin. Epigenet. 15, 47. https:\/\/doi.org\/10.1186\/s13148-023-01463-3 (2023).","journal-title":"Clin. Epigenet."},{"key":"68071_CR37","doi-asserted-by":"publisher","first-page":"498","DOI":"10.3390\/biology3030498","volume":"3","author":"SE Parets","year":"2014","unstructured":"Parets, S. E., Bedient, C. E., Menon, R. & Smith, A. K. Preterm birth and its long-term effects: Methylation to mechanisms. Biology 3, 498\u2013513. https:\/\/doi.org\/10.3390\/biology3030498 (2014).","journal-title":"Biology"},{"key":"68071_CR38","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1016\/j.earlhumdev.2009.08.060","volume":"85","author":"TM O'Shea","year":"2009","unstructured":"O\u2019Shea, T. M. et al. The ELGAN study of the brain and related disorders in extremely low gestational age newborns. Early Hum. Dev. 85, 719\u2013725. https:\/\/doi.org\/10.1016\/j.earlhumdev.2009.08.060 (2009).","journal-title":"Early Hum. Dev."},{"key":"68071_CR39","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1093\/aje\/kwn202","volume":"168","author":"TF McElrath","year":"2008","unstructured":"McElrath, T. F. et al. Pregnancy disorders that lead to delivery before the 28th week of gestation: An epidemiologic approach to classification. Am. J. Epidemiol. 168, 980\u2013989. https:\/\/doi.org\/10.1093\/aje\/kwn202 (2008).","journal-title":"Am. J. Epidemiol."},{"key":"68071_CR40","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1186\/s13148-020-00942-1","volume":"12","author":"TM Everson","year":"2020","unstructured":"Everson, T. M. et al. Serious neonatal morbidities are associated with differences in DNA methylation among very preterm infants. Clin. Epigenet. 12, 151. https:\/\/doi.org\/10.1186\/s13148-020-00942-1 (2020).","journal-title":"Clin. Epigenet."},{"key":"68071_CR41","doi-asserted-by":"publisher","first-page":"925","DOI":"10.2217\/epi-2018-0037","volume":"10","author":"SC Zheng","year":"2018","unstructured":"Zheng, S. C. et al. A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervix. Epigenomics 10, 925\u2013940. https:\/\/doi.org\/10.2217\/epi-2018-0037 (2018).","journal-title":"Epigenomics"},{"key":"68071_CR42","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1038\/pr.2012.103","volume":"72","author":"G Natarajan","year":"2012","unstructured":"Natarajan, G. et al. Effect of inborn vs. outborn delivery on neurodevelopmental outcomes in infants with hypoxic-ischemic encephalopathy: Secondary analyses of the NICHD whole-body cooling trial. Pediatr. Res. 72, 414\u2013419. https:\/\/doi.org\/10.1038\/pr.2012.103 (2012).","journal-title":"Pediatr. Res."},{"key":"68071_CR43","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1038\/jp.2008.18","volume":"28","author":"N Ambalavanan","year":"2008","unstructured":"Ambalavanan, N. et al. Predictors of death or bronchopulmonary dysplasia in preterm infants with respiratory failure. J. Perinatol. 28, 420\u2013426. https:\/\/doi.org\/10.1038\/jp.2008.18 (2008).","journal-title":"J. Perinatol."},{"key":"68071_CR44","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1038\/s41372-019-0447-1","volume":"40","author":"S Redpath","year":"2020","unstructured":"Redpath, S. et al. Do transport factors increase the risk of severe brain injury in outborn infants <33 weeks gestational age?. J. Perinatol. 40, 385\u2013393. https:\/\/doi.org\/10.1038\/s41372-019-0447-1 (2020).","journal-title":"J. Perinatol."},{"key":"68071_CR45","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1186\/s13072-015-0035-3","volume":"8","author":"P Singmann","year":"2015","unstructured":"Singmann, P. et al. Characterization of whole-genome autosomal differences of DNA methylation between men and women. Epigenet. Chromatin 8, 43. https:\/\/doi.org\/10.1186\/s13072-015-0035-3 (2015).","journal-title":"Epigenet. Chromatin"},{"key":"68071_CR46","doi-asserted-by":"publisher","first-page":"1724","DOI":"10.1371\/journal.pgen.0030161","volume":"3","author":"JT Leek","year":"2007","unstructured":"Leek, J. T. & Storey, J. D. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet. 3, 1724\u20131735. https:\/\/doi.org\/10.1371\/journal.pgen.0030161 (2007).","journal-title":"PLoS Genet."},{"key":"68071_CR47","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1093\/bioinformatics\/bts680","volume":"29","author":"AE Teschendorff","year":"2013","unstructured":"Teschendorff, A. E. et al. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics 29, 189\u2013196. https:\/\/doi.org\/10.1093\/bioinformatics\/bts680 (2013).","journal-title":"Bioinformatics"},{"key":"68071_CR48","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1186\/s13059-016-1066-1","volume":"17","author":"R Pidsley","year":"2016","unstructured":"Pidsley, R. et al. Critical evaluation of the illumina methylationEPIC beadChip microarray for whole-genome DNA methylation profiling. Genome Biol. 17, 208. https:\/\/doi.org\/10.1186\/s13059-016-1066-1 (2016).","journal-title":"Genome Biol."},{"key":"68071_CR49","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.2217\/epi-2017-0078","volume":"9","author":"MW Logue","year":"2017","unstructured":"Logue, M. W. et al. The correlation of methylation levels measured using Illumina 450K and EPIC BeadChips in blood samples. Epigenomics 9, 1363\u20131371. https:\/\/doi.org\/10.2217\/epi-2017-0078 (2017).","journal-title":"Epigenomics"},{"key":"68071_CR50","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1186\/1471-2105-11-587","volume":"11","author":"P Du","year":"2010","unstructured":"Du, P. et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinform. 11, 587. https:\/\/doi.org\/10.1186\/1471-2105-11-587 (2010).","journal-title":"BMC Bioinform."},{"key":"68071_CR51","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1093\/bioinformatics\/bty778","volume":"35","author":"C Xie","year":"2019","unstructured":"Xie, C. et al. Differential methylation values in differential methylation analysis. Bioinformatics 35, 1094\u20131097. https:\/\/doi.org\/10.1093\/bioinformatics\/bty778 (2019).","journal-title":"Bioinformatics"},{"key":"68071_CR52","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1093\/bioinformatics\/bts034","volume":"28","author":"JT Leek","year":"2012","unstructured":"Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E. & Storey, J. D. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics 28, 882\u2013883. https:\/\/doi.org\/10.1093\/bioinformatics\/bts034 (2012).","journal-title":"Bioinformatics"},{"key":"68071_CR53","unstructured":"Carey V.J., Lumley T, & Ripley B.D. gee: Generalized Estimation Equation Solver, http:\/\/CRAN.R-project.org\/package=gee, R package version 4.13\u201318 (2012),"},{"key":"68071_CR54","doi-asserted-by":"crossref","unstructured":"Suderman M, Staley J.R., French R, Arathimos R, Simpkin A, Tilling K. Dmrff: Identifying differentially methylated regions efficiently with power and control. BioRxiv. Dec 31:508556. (2018)","DOI":"10.1101\/508556"},{"key":"68071_CR55","doi-asserted-by":"publisher","first-page":"100141","DOI":"10.1016\/j.xinn.2021.100141","volume":"2","author":"T Wu","year":"2021","unstructured":"Wu, T. et al. ClusterProfiler 4.0: A universal enrichment tool for interpreting omics data. Innovation (Camb) 2, 100141. https:\/\/doi.org\/10.1016\/j.xinn.2021.100141 (2021).","journal-title":"Innovation (Camb)"},{"key":"68071_CR56","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1089\/omi.2011.0118","volume":"16","author":"G Yun","year":"2012","unstructured":"Yun, G., Wang, L. G., Han, Y. & Hen, Q. Y. clusterProfiler: An R package for comparing biological themes among gene clusters. OMICS J. Integr. Biol. 16, 284\u2013287. https:\/\/doi.org\/10.1089\/omi.2011.0118 (2012).","journal-title":"OMICS J. Integr. Biol."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-68071-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-68071-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-68071-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T02:03:17Z","timestamp":1723168997000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-68071-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,5]]},"references-count":56,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["68071"],"URL":"https:\/\/doi.org\/10.1038\/s41598-024-68071-w","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,5]]},"assertion":[{"value":"8 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"18147"}}