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Meta-Analysis
. 2023 Sep 11;15(1):148.
doi: 10.1186/s13148-023-01542-5.

Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Latha Kadalayil  1   2 Md Zahangir Alam  2   3 Cory Haley White  4 Akram Ghantous  5 Esther Walton #  6 Olena Gruzieva  7   8 Simon Kebede Merid  8 Ashish Kumar  9 Ritu P Roy  10   11 Olivia Solomon  12 Karen Huen  12 Brenda Eskenazi  12 Peter Rzehak  13 Veit Grote  13 Jean-Paul Langhendries  14 Elvira Verduci  15 Natalia Ferre  16 Darek Gruszfeld  17 Lu Gao  18 Weihua Guan  19 Xuehuo Zeng  20 Enrique F Schisterman  21 John F Dou  22 Kelly M Bakulski  22 Jason I Feinberg  23   24 Munawar Hussain Soomro  25   26 Giancarlo Pesce  25 Nour Baiz  27 Elena Isaevska  28 Michelle Plusquin  29 Marina Vafeiadi  30 Theano Roumeliotaki  30 Sabine A S Langie  31   32   33 Arnout Standaert  31 Catherine Allard  34 Patrice Perron  35 Luigi Bouchard  36   37 Evelien R van Meel  38   39 Janine F Felix  38   40 Vincent W V Jaddoe  38   40 Paul D Yousefi  41   42 Cecilia H Ramlau-Hansen  43 Caroline L Relton  41   42 Elmar W Tobi  44 Anne P Starling  45   46   47 Ivana V Yang  46   48   49 Maria Llambrich  50   51   52 Gillian Santorelli  53 Johanna Lepeule  54 Lucas A Salas  50   55   56   57 Mariona Bustamante  50   51   52 Susan L Ewart  58 Hongmei Zhang  59 Wilfried Karmaus  59 Stefan Röder  60 Ana Claudia Zenclussen  60 Jianping Jin  61 Wenche Nystad  62 Christian M Page  63   64 Maria Magnus  63 Dereje D Jima  65   66 Cathrine Hoyo  65   67 Rachel L Maguire  67   68 Tuomas Kvist  69 Darina Czamara  70 Katri Räikkönen  69 Tong Gong  71 Vilhelmina Ullemar  71 Sheryl L Rifas-Shiman  72 Emily Oken #  72 Catarina Almqvist #  71   73 Robert Karlsson  71 Jari Lahti  69 Susan K Murphy  68 Siri E Håberg  63 Stephanie London  74 Gunda Herberth  60 Hasan Arshad  1   75   76 Jordi Sunyer  50   51   52 Regina Grazuleviciene  77 Dana Dabelea  45   46   78 Régine P M Steegers-Theunissen  44 Ellen A Nohr  79 Thorkild I A Sørensen  80   81 Liesbeth Duijts  38   39   82 Marie-France Hivert  72   83 Vera Nelen  84 Maja Popovic  28 Manolis Kogevinas  50 Tim S Nawrot  29   85 Zdenko Herceg  5 Isabella Annesi-Maesano  27 M Daniele Fallin  23   24 Edwina Yeung  86 Carrie V Breton  18 Berthold Koletzko  13 Nina Holland  87 Joseph L Wiemels  88   89 Erik Melén  9   90 Gemma C Sharp  41   91 Matt J Silver  92   93 Faisal I Rezwan #  2   94 John W Holloway #  95   96
Affiliations
Meta-Analysis

Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Latha Kadalayil et al. Clin Epigenetics. .

Abstract

Background: Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear.

Methods: We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points.

Results: We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation including asthma (LTB4R), present only at birth in the higher latitudes (≥ 50°N).

Conclusions: In this large epigenome-wide meta-analysis study, we provide evidence for (i) associations between DNAm and season of birth that are unique for the seasons of the year (temporal effect) and (ii) latitude-dependent variations in the seasonal associations (spatial effect). DNAm could play a role in the molecular mechanisms underlying the effect of birth season on adult health outcomes.

Keywords: Birth season; DNA methylation; Differentially methylated regions (DMR); Latitude; Meta-analysis; PACE.

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Conflict of interest statement

None declared any competing interests.

Figures

Fig. 1
Fig. 1
Schematic diagram for the season of birth-DNA methylation (DNAm) analyses. Numbers included in the analyses are indicated. PACE Pregnancy And Childhood Epigenetics, EWAS Epigenome Wide Association Study, DMP Differentially Methylated Probe, FDR False Positive Rate, DMR Differentially Methylated Region. EWASs and meta-analysis were carried out on at-birth and childhood samples separately. All participating cohorts were from the northern hemisphere (range 37.2–71.2°N). Latitude ≥ 50°N represents a subset of cohorts from 50 to 71.2°N (referred to as “higher latitude subgroup” in the text). Latitude < 50°N is a subset of cohorts from 32.7 to 50°N (referred to as “lower latitude subgroup” in the text. a27 independent cohorts, but a total of 33 datasets as 6 cohorts contributed to both at-birth and childhood analyses. bAt-birth blood samples (cord and heel prick). cWhole blood samples (age 1–11 years). dThis analysis was not done due to its small sample size
Fig. 2
Fig. 2
Manhattan plots of the meta-analysed data showing the association of season of birth and DNA methylation at birth using neonatal blood data (A) and during childhood using whole blood data (B). Birth seasons with FDR-significant CpGs when compared to autumn as the reference season alone are shown in the figure. The blue and red lines indicate the threshold p values for false discovery rate (FDR) and the Bonferroni adjustments, respectively. The observed p values on the Y-axis are from models adjusted for covariates and cell types for the seasons indicated in the figures when compared to autumn as the reference season. Genes associated with the CpGs (circled) are indicated. All cohort-specific EWAS analyses were adjusted for gender of the child, gestational age at delivery, maternal age at delivery, maternal smoking during pregnancy, maternal socio-economic status, batch, child’s age at the time of sample collection (in the case of childhood samples and if data were available) and estimated cell proportions. *This CpG (cg01801443, location: intergenic) has a SNP within 10 base pairs and is not included in Table 1
Fig. 3
Fig. 3
Quantile–quantile (Q-Q) plots for post-meta-analysis models for association between seasons of birth and DNA methylation (primary analyses) for at-birth (A and B) and childhood (C and D) samples. The Q–Q plots were generated by plotting observed p values (y-axis) against the expected uniform distribution of p values under the null hypothesis of no association (x-axis). Lambda and bias were estimated using BACON method [37]. All cohort-specific EWAS analyses were adjusted for gender of the child, gestational age at delivery, maternal age at delivery, maternal smoking during pregnancy, maternal socio-economic status, batch, child’s age at the time of sample collection and estimated cell proportions

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