Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium
Abstract Background Night shift work during pregnancy has been associated with differential DNA methylation in placental tissue, but no studies have explored this association in cord blood. We aimed to examine associations of maternal night shift work with cord blood DNA methylation. Methods A total...
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2025-01-01
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| author | Irene F. Marques Carola Domènech-Panicello Madelon L. Geurtsen Thanh T. Hoang Rebecca Richmond Kristen Polinski Lea Sirignano Christian M. Page Anne-Claire Binter Todd Everson Amber Burt Michael Deuschle Maria Gilles Fabian Streit Sunni L. Mumford Per Magnus Irwin K. M. Reiss Marijn J. Vermeulen Stephanie H. Witt Inês Chaves Edwina Yeung Stephanie J. London Mònica Guxens Janine F. Felix |
| author_facet | Irene F. Marques Carola Domènech-Panicello Madelon L. Geurtsen Thanh T. Hoang Rebecca Richmond Kristen Polinski Lea Sirignano Christian M. Page Anne-Claire Binter Todd Everson Amber Burt Michael Deuschle Maria Gilles Fabian Streit Sunni L. Mumford Per Magnus Irwin K. M. Reiss Marijn J. Vermeulen Stephanie H. Witt Inês Chaves Edwina Yeung Stephanie J. London Mònica Guxens Janine F. Felix |
| author_sort | Irene F. Marques |
| collection | DOAJ |
| description | Abstract Background Night shift work during pregnancy has been associated with differential DNA methylation in placental tissue, but no studies have explored this association in cord blood. We aimed to examine associations of maternal night shift work with cord blood DNA methylation. Methods A total of 4487 mother–newborn pairs from 7 studies were included. Maternal night shift work during pregnancy was ascertained via questionnaires and harmonized into “any” versus “no”. DNA methylation was measured in cord blood using the Illumina Infinium Methylation arrays. Robust linear regression models adjusted for relevant confounders were run in the individual cohorts, and results were meta-analyzed. Results Maternal night shift work during pregnancy ranged from 3.4% to 26.3%. Three CpGs were differentially methylated in relation to maternal night shift work during pregnancy at a false discovery rate adjusted P < 0.05: cg10945885 (estimate (β) 0.38%, standard error (SE) 0.07), cg00773359 (β 0.25%, SE 0.05), and cg21836426 (β − 0.29%, SE 0.05). Associations of the identified CpGs were found in previous literature for gestational age and childhood and adolescent BMI. In a mouse model of prenatal jet lag exposure, information on offspring DNA methylation of ten homologous genes annotated to the 16 CpGs with P < 1 × 10−5 in our analysis was available, of which eight were associated (enrichment P: 1.62 × 10−11). Conclusion Maternal night shift work during pregnancy was associated with newborn DNA methylation at 3 CpGs. Top findings overlapped with those in a mouse model of gestational jet lag. This work strengthens evidence that DNA methylation could be a marker or mediator of impacts of circadian rhythm disturbances. |
| format | Article |
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| institution | Kabale University |
| issn | 1868-7083 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
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| series | Clinical Epigenetics |
| spelling | doaj-art-0b40c9832f1f4f6daf079e9b510606122025-01-26T12:39:12ZengBMCClinical Epigenetics1868-70832025-01-0117111410.1186/s13148-024-01810-yAssociations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortiumIrene F. Marques0Carola Domènech-Panicello1Madelon L. Geurtsen2Thanh T. Hoang3Rebecca Richmond4Kristen Polinski5Lea Sirignano6Christian M. Page7Anne-Claire Binter8Todd Everson9Amber Burt10Michael Deuschle11Maria Gilles12Fabian Streit13Sunni L. Mumford14Per Magnus15Irwin K. M. Reiss16Marijn J. Vermeulen17Stephanie H. Witt18Inês Chaves19Edwina Yeung20Stephanie J. London21Mònica Guxens22Janine F. Felix23Generation R Study Group, Erasmus MC, University Medical Center RotterdamISGlobalGeneration R Study Group, Erasmus MC, University Medical Center RotterdamDivision of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of HealthMedical Research Council Integrative Epidemiology Unit, University of BristolDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentDepartment of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg UniversityCentre for Fertility and Health, Norwegian Institute of Public HealthISGlobalGangarosa Department of Environmental Health, Rollins School of Public Health, Emory UniversityGangarosa Department of Environmental Health, Rollins School of Public Health, Emory UniversityDepartment of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg UniversityDepartment of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg UniversityDepartment of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg UniversityDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCentre for Fertility and Health, Norwegian Institute of Public HealthDepartment of Neonatal and Pediatric Intensive Care, Erasmus MC, University Medical Center RotterdamDepartment of Neonatal and Pediatric Intensive Care, Erasmus MC, University Medical Center RotterdamDepartment of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg UniversityDepartment of Molecular Genetics, Erasmus MC Cancer Institute, Erasmus MC, University Medical Center RotterdamDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentDivision of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of HealthISGlobalGeneration R Study Group, Erasmus MC, University Medical Center RotterdamAbstract Background Night shift work during pregnancy has been associated with differential DNA methylation in placental tissue, but no studies have explored this association in cord blood. We aimed to examine associations of maternal night shift work with cord blood DNA methylation. Methods A total of 4487 mother–newborn pairs from 7 studies were included. Maternal night shift work during pregnancy was ascertained via questionnaires and harmonized into “any” versus “no”. DNA methylation was measured in cord blood using the Illumina Infinium Methylation arrays. Robust linear regression models adjusted for relevant confounders were run in the individual cohorts, and results were meta-analyzed. Results Maternal night shift work during pregnancy ranged from 3.4% to 26.3%. Three CpGs were differentially methylated in relation to maternal night shift work during pregnancy at a false discovery rate adjusted P < 0.05: cg10945885 (estimate (β) 0.38%, standard error (SE) 0.07), cg00773359 (β 0.25%, SE 0.05), and cg21836426 (β − 0.29%, SE 0.05). Associations of the identified CpGs were found in previous literature for gestational age and childhood and adolescent BMI. In a mouse model of prenatal jet lag exposure, information on offspring DNA methylation of ten homologous genes annotated to the 16 CpGs with P < 1 × 10−5 in our analysis was available, of which eight were associated (enrichment P: 1.62 × 10−11). Conclusion Maternal night shift work during pregnancy was associated with newborn DNA methylation at 3 CpGs. Top findings overlapped with those in a mouse model of gestational jet lag. This work strengthens evidence that DNA methylation could be a marker or mediator of impacts of circadian rhythm disturbances.https://doi.org/10.1186/s13148-024-01810-yNight shift workPregnancyCohort studyDNA methylationEpigenetics |
| spellingShingle | Irene F. Marques Carola Domènech-Panicello Madelon L. Geurtsen Thanh T. Hoang Rebecca Richmond Kristen Polinski Lea Sirignano Christian M. Page Anne-Claire Binter Todd Everson Amber Burt Michael Deuschle Maria Gilles Fabian Streit Sunni L. Mumford Per Magnus Irwin K. M. Reiss Marijn J. Vermeulen Stephanie H. Witt Inês Chaves Edwina Yeung Stephanie J. London Mònica Guxens Janine F. Felix Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium Clinical Epigenetics Night shift work Pregnancy Cohort study DNA methylation Epigenetics |
| title | Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium |
| title_full | Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium |
| title_fullStr | Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium |
| title_full_unstemmed | Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium |
| title_short | Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium |
| title_sort | associations of maternal night shift work during pregnancy with dna methylation in offspring a meta analysis in the pace consortium |
| topic | Night shift work Pregnancy Cohort study DNA methylation Epigenetics |
| url | https://doi.org/10.1186/s13148-024-01810-y |
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