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Epigenomics Volume 15, 2023 - Issue 22
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Meta Analysis

Maternal Caffeine Consumption During Pregnancy and Offspring Cord Blood DNA Methylation: An Epigenome-Wide Association Study Meta-Analysis

Laura Schellhas1 School of Psychological Science, University of Bristol, Bristol, BS8 1QU, UK;2 MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK;3 Institute for Sex Research and Forensic Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany[Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6436-4821View further author information
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Giulietta S Monasso4 The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands;5 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The NetherlandsORCID Iconhttps://orcid.org/0000-0002-5773-5580View further author information
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Janine F Felix4 The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands;5 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The NetherlandsORCID Iconhttps://orcid.org/0000-0002-9801-5774View further author information
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Vincent WV Jaddoe4 The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands;5 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The NetherlandsORCID Iconhttps://orcid.org/0000-0003-2939-0041View further author information
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Peiyuan Huang2 MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UKORCID Iconhttps://orcid.org/0000-0002-8562-9152View further author information
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Sílvia Fernández-Barrés6 Barcelona Institute for Global Health (ISGlobal), Barcelona, 08003, Spain;7 Agència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, SpainView further author information
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Martine Vrijheid6 Barcelona Institute for Global Health (ISGlobal), Barcelona, 08003, Spain;8 Universitat Pompeu Fabra, Barcelona, 08002, Spain;9 CIBER Epidemiología y Salud Pública, Madrid, 28029, SpainORCID Iconhttps://orcid.org/0000-0002-7090-1758View further author information
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Giancarlo Pesce10 INSERM UMR-S 1136, Team of Epidemiology of Allergic and Respiratory Diseases (EPAR), Institute Pierre Louis of Epidemiology and Public Health (IPLESP), Sorbonne University, Paris, 75005, FranceORCID Iconhttps://orcid.org/0000-0003-4925-6325View further author information
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Isabella Annesi-Maesano11 Institute Desbrest of Epidemiology and Public Health, INSERM and Montpellier University, Montpellier, 34090, France;12 Department of Allergic and Respiratory Diseases, Montpellier University Hospital, Montpellier, 34295, FranceORCID Iconhttps://orcid.org/0000-0002-6340-9300View further author information
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Christian M Page13 Department of Physical Health and Aging, Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, 0456, NorwayORCID Iconhttps://orcid.org/0000-0002-1897-3666View further author information
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Anne-Lise Brantsæter14 Department of Food Safety, Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, 0456, NorwayORCID Iconhttps://orcid.org/0000-0001-6315-7134View further author information
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Mona Bekkhus15 PROMENTA Research Centre, Department of Psychology, University of Oslo, Oslo, 0373, NorwayORCID Iconhttps://orcid.org/0000-0002-4447-8909View further author information
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Siri E Håberg16 Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, 0456, NorwayORCID Iconhttps://orcid.org/0000-0002-2199-5225View further author information
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Stephanie J London17 Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC27709, USAORCID Iconhttps://orcid.org/0000-0003-4911-5290View further author information
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Marcus R Munafò1 School of Psychological Science, University of Bristol, Bristol, BS8 1QU, UK;2 MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK;18 NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, BS2 8DX, UKORCID Iconhttps://orcid.org/0000-0002-4049-993XView further author information
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Luisa Zuccolo2 MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK;19 Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PN, UK;20 Health Data Science Centre, Human Technopole, Milan, 20157, ItalyORCID Iconhttps://orcid.org/0000-0002-7049-3037View further author information
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Gemma C Sharp2 MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK;19 Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PN, UK;21 School of Psychology, University of Exeter, Exeter, EX4 4PY, UKORCID Iconhttps://orcid.org/0000-0003-2906-4035View further author information
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Pages 1179-1193 | Received 20 Jul 2023, Accepted 02 Nov 2023, Published online: 29 Nov 2023

Figures & data

Table 1. Overview of daily maternal caffeine consumption during pregnancy in the individual cohorts.

Table 2. Overview of demographic information across the individual cohorts.

Table 3. A summary of results of each epigenome-wide association study model from the probe-level analysis.

Figure 1. Effect size estimates at the top CpG sites found in the probe-level analysis.

Total caff model = total caffeine; Coffee model = caffeine from coffee; Tea model = caffeine from tea; Cola model = caffeine from cola. Error bars represent 95% CIs.

Figure 1. Effect size estimates at the top CpG sites found in the probe-level analysis.Total caff model = total caffeine; Coffee model = caffeine from coffee; Tea model = caffeine from tea; Cola model = caffeine from cola. Error bars represent 95% CIs.
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