A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation.

Journal: Communications biology

Volume: 7

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA. Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Centre for Environmental Sciences, UHasselt, Agoralaan, Building D, , Diepenbeek, Belgium. The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands. Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK. ISGlobal, Institute for Global Health, Barcelona, Spain. Human Development and Health, Faculty of Medicine, Southampton General Hospital, University of Southampton, Southampton, UK. Department of Environmental Immunology, Helmholtz Centre for Environmental Research -UFZ, Leipzig, Germany. Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany. Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland. MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. School of Public Health, University of California Berkeley, Berkeley, California, USA. SAMRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Rondebosch, South Africa. Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University, Hospital and University of Oulu, Oulu, Finland. Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland. Department of Anthropology and Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA. MRC Unit The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia. Nuffield Department of Women's & Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX DU, UK. Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway. Department of Pediatric Oncology and Hematology, Oslo University Hospital, Norwegian Institute of Public Health, Oslo, Norway. Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany. Woman and Child Health Department, Ospedale Versilia, AUSL Toscana Nord Ovest, Pisa, Italy. Department of Medical Sciences, University of Turin, CPO Piemonte, Turin, Italy. Department of Population and Public Health Sciences, Keck School of Medicine of USC. University of Southern California, Los Angeles, CA, USA. Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece. Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK. College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA. Department of Women & Children's Health, King's College London, London, UK. Division of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, Memphis, TN, USA. Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA. Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA. wiemels@usc.edu.

Abstract summary 

Higher birth order is associated with altered risk of many disease states. Changes in placentation and exposures to in utero growth factors with successive pregnancies may impact later life disease risk via persistent DNA methylation alterations. We investigated birth order with Illumina DNA methylation array data in each of 16 birth cohorts (8164 newborns) with European, African, and Latino ancestries from the Pregnancy and Childhood Epigenetics Consortium. Meta-analyzed data demonstrated systematic DNA methylation variation in 341 CpGs (FDR adjusted P < 0.05) and 1107 regions. Forty CpGs were located within known quantitative trait loci for gene expression traits in blood, and trait enrichment analysis suggested a strong association with immune-related, transcriptional control, and blood pressure regulation phenotypes. Decreasing fertility rates worldwide with the concomitant increased proportion of first-born children highlights a potential reflection of birth order-related epigenomic states on changing disease incidence trends.

Authors & Co-authors:  Li Shaobo S Spitz Natalia N Ghantous Akram A Abrishamcar Sarina S Reimann Brigitte B Marques Irene I Silver Matt J MJ Aguilar-Lacasaña Sofía S Kitaba Negusse N Rezwan Faisal I FI Röder Stefan S Sirignano Lea L Tuhkanen Johanna J Mancano Giulia G Sharp Gemma C GC Metayer Catherine C Morimoto Libby L Stein Dan J DJ Zar Heather J HJ Alfano Rossella R Nawrot Tim T Wang Congrong C Kajantie Eero E Keikkala Elina E Mustaniemi Sanna S Ronkainen Justiina J Sebert Sylvain S Silva Wnurinham W Vääräsmäki Marja M Jaddoe Vincent W V VWV Bernstein Robin M RM Prentice Andrew M AM Cosin-Tomas Marta M Dwyer Terence T Håberg Siri Eldevik SE Herceg Zdenko Z Magnus Maria C MC Munthe-Kaas Monica Cheng MC Page Christian M CM Völker Maja M Gilles Maria M Send Tabea T Witt Stephanie S Zillich Lea L Gagliardi Luigi L Richiardi Lorenzo L Czamara Darina D Räikkönen Katri K Chatzi Lida L Vafeiadi Marina M Arshad S Hasan SH Ewart Susan S Plusquin Michelle M Felix Janine F JF Moore Sophie E SE Vrijheid Martine M Holloway John W JW Karmaus Wilfried W Herberth Gunda G Zenclussen Ana A Streit Fabian F Lahti Jari J Hüls Anke A Hoang Thanh T TT London Stephanie J SJ Wiemels Joseph L JL

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Cardwell CR, et al. Birth order and childhood type 1 diabetes risk: a pooled analysis of 31 observational studies. Int. J. Epidemiol. 2011;40:363–374. doi: 10.1093/ije/dyq207.
Authors :  66
Identifiers
Doi : 66
SSN : 2399-3642
Study Population
Male,Female
Mesh Terms
Child
Other Terms
Study Design
Study Approach
Quantitative
Country of Study
Publication Country
England