Additional file 3 of Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age
Creators: name: Merid, Simon
name: Novoloaca, Alexei
name: Sharp, Gemma
name: Küpers, Leanne
name: Kho, Alvin
name: Roy, Ritu
name: Gao, Lu
name: Annesi-Maesano, Isabella
name: Jain, Pooja
name: Plusquin, Michelle
name: Kogevinas, Manolis
name: Allard, Catherine
name: Vehmeijer, Florianne
name: Kazmi, Nabila
name: Salas, Lucas
name: Rezwan, Faisal
name: Zhang, Hongmei
name: Sebert, Sylvain
name: Czamara, Darina
name: Rifas-Shiman, Sheryl
name: Melton, Phillip
name: Lawlor, Debbie
name: Pershagen, Göran
name: Breton, Carrie
name: Huen, Karen
name: Baiz, Nour
name: Gagliardi, Luigi
name: Nawrot, Tim
name: Corpeleijn, Eva
name: Perron, Patrice
name: Duijts, Liesbeth
name: Nohr, Ellen
name: Bustamante, Mariona
name: Ewart, Susan
name: Karmaus, Wilfried
name: Zhao, Shanshan
name: Page, Christian
name: Herceg, Zdenko
name: Jarvelin, Marjo-Riitta
name: Lahti, Jari
name: Baccarelli, Andrea
name: Anderson, Denise
name: Kachroo, Priyadarshini
name: Relton, Caroline
name: Bergström, Anna
name: Eskenazi, Brenda
name: Soomro, Munawar
name: Vineis, Paolo
name: Snieder, Harold
name: Bouchard, Luigi
name: Jaddoe, Vincent
name: Sørensen, Thorkild
name: Vrijheid, Martine
name: Arshad, S.
name: Holloway, John
name: Håberg, Siri
name: Magnus, Per
name: Dwyer, Terence
name: Binder, Elisabeth
name: DeMeo, Dawn
name: Vonk, Judith
name: Newnham, John
name: Tantisira, Kelan
name: Kull, Inger
name: Wiemels, Joseph
name: Heude, Barbara
name: Sunyer, Jordi
name: Nystad, Wenche
name: Munthe-Kaas, Monica
name: Räikkönen, Katri
name: Oken, Emily
name: Huang, Rae-Chi
name: Weiss, Scott
name: Antó, Josep
name: Bousquet, Jean
name: Kumar, Ashish
name: Söderhäll, Cilla
name: Almqvist, Catarina
name: Cardenas, Andres
name: Gruzieva, Olena
name: Xu, Cheng-Jian
name: Reese, Sarah
name: Kere, Juha
name: Brodin, Petter
name: Solomon, Olivia
name: Wielscher, Matthias
name: Holland, Nina
name: Ghantous, Akram
name: Hivert, Marie-France
name: Felix, Janine
name: Koppelman, Gerard
name: London, Stephanie
name: Melén, Erik
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Hematology

description: Figure S1. Forest plot for the top 10 Bonferroni-significant CpGs from the meta-analysis on the association between continuous GA and offspring DNA methylation at birth adjusted for estimated cell proportions. Figure S2. Sensitivity analysis: Correlation of the point estimates for the no complications model main association of DNA methylation with gestational age (y-axis representing 3648 participants from 17 cohorts) with point estimates for a meta-analysis after excluding three cohorts (MoBa1, MoBa2 and ALSPAC) that were included in a previous publication1,2 (x-axis representing 2190 participants from 14 cohorts). Figure S3. Correlations between methylation and gene expression levels for selected four pairs. First, we created residuals for mRNA expression and residuals for DNA methylation and used linear regression models to evaluate correlations between expression residuals and methylation residuals. These residual models were adjusted for covariates, estimated white blood cell proportions, and technical variation. Figure S4. Sensitivity analysis: Correlation of the point estimates for the no complications model main association of DNA methylation with gestational age (y-axis representing 3648 participants from 17 cohorts) with point estimates for a meta-analysis after excluding Non-European three cohorts (CBC, CHS and CHAMACOS) (x-axis representing 3290 participants from 14 cohorts).