The University of Southampton
University of Southampton Institutional Repository

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

A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation
A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation
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
2399-3642
Li, Shaobo
8a389dd5-65c8-4c6e-9b7a-e90310d808c5
Spitz, Natalia
175f44ca-e303-42b1-9603-da7351ed3cb8
Ghantous, Akram
c078d3dc-5baa-4ec3-b157-f200f843a0d1
Kitaba, Negusse
5e35ae4a-edaa-4b78-bcb6-00628c3b6e83
Rezwan, Faisal I.
203f8f38-1f5d-485b-ab11-c546b4276338
Arshad, S. Hasan
917e246d-2e60-472f-8d30-94b01ef28958
Holloway, John W.
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
et al.
Li, Shaobo
8a389dd5-65c8-4c6e-9b7a-e90310d808c5
Spitz, Natalia
175f44ca-e303-42b1-9603-da7351ed3cb8
Ghantous, Akram
c078d3dc-5baa-4ec3-b157-f200f843a0d1
Kitaba, Negusse
5e35ae4a-edaa-4b78-bcb6-00628c3b6e83
Rezwan, Faisal I.
203f8f38-1f5d-485b-ab11-c546b4276338
Arshad, S. Hasan
917e246d-2e60-472f-8d30-94b01ef28958
Holloway, John W.
4bbd77e6-c095-445d-a36b-a50a72f6fe1a

Li, Shaobo, Spitz, Natalia and Ghantous, Akram , et al. (2024) A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation. Communications Biology, 7 (1), [66]. (doi:10.1038/s42003-023-05698-x).

Record type: Article

Abstract

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

Text
s42003-023-05698-x - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 12 December 2023
e-pub ahead of print date: 9 January 2024
Published date: 9 January 2024
Additional Information: Publisher Copyright: © 2024, The Author(s).

Identifiers

Local EPrints ID: 486177
URI: http://eprints.soton.ac.uk/id/eprint/486177
ISSN: 2399-3642
PURE UUID: 56103e89-ea01-43a5-b0bc-2f1a4a51b510
ORCID for Negusse Kitaba: ORCID iD orcid.org/0000-0001-7518-9096
ORCID for Faisal I. Rezwan: ORCID iD orcid.org/0000-0001-9921-222X
ORCID for John W. Holloway: ORCID iD orcid.org/0000-0001-9998-0464

Catalogue record

Date deposited: 12 Jan 2024 17:36
Last modified: 31 Jul 2024 01:52

Export record

Altmetrics

Contributors

Author: Shaobo Li
Author: Natalia Spitz
Author: Akram Ghantous
Author: Negusse Kitaba ORCID iD
Author: Faisal I. Rezwan ORCID iD
Author: S. Hasan Arshad
Corporate Author: et al.

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×