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Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age.
Genome Medicine ( IF 10.4 ) Pub Date : 2020-03-02 , DOI: 10.1186/s13073-020-0716-9
Simon Kebede Merid 1, 2 , Alexei Novoloaca 3 , Gemma C Sharp 4, 5 , Leanne K Küpers 5, 6, 7 , Alvin T Kho 8 , Ritu Roy 9, 10 , Lu Gao 11 , Isabella Annesi-Maesano 12 , Pooja Jain 13, 14 , Michelle Plusquin 13, 15 , Manolis Kogevinas 16, 17, 18, 19 , Catherine Allard 20 , Florianne O Vehmeijer 21, 22 , Nabila Kazmi 4, 5 , Lucas A Salas 23 , Faisal I Rezwan 24 , Hongmei Zhang 25 , Sylvain Sebert 26, 27, 28 , Darina Czamara 29 , Sheryl L Rifas-Shiman 30 , Phillip E Melton 31, 32 , Debbie A Lawlor 4, 5, 33 , Göran Pershagen 1, 34 , Carrie V Breton 11 , Karen Huen 35 , Nour Baiz 12 , Luigi Gagliardi 36 , Tim S Nawrot 13, 37 , Eva Corpeleijn 7 , Patrice Perron 20, 38 , Liesbeth Duijts 21, 22 , Ellen Aagaard Nohr 39 , Mariona Bustamante 16, 17, 18 , Susan L Ewart 40 , Wilfried Karmaus 25 , Shanshan Zhao 41 , Christian M Page 42 , Zdenko Herceg 3 , Marjo-Riitta Jarvelin 26, 27, 43, 44 , Jari Lahti 45, 46 , Andrea A Baccarelli 47 , Denise Anderson 48 , Priyadarshini Kachroo 49 , Caroline L Relton 4, 5, 33 , Anna Bergström 1, 34 , Brenda Eskenazi 50 , Munawar Hussain Soomro 12 , Paolo Vineis 51 , Harold Snieder 7 , Luigi Bouchard 20, 52, 53 , Vincent W Jaddoe 21, 22 , Thorkild I A Sørensen 4, 54, 55 , Martine Vrijheid 16, 17, 18 , S Hasan Arshad 56, 57 , John W Holloway 58 , Siri E Håberg 42 , Per Magnus 42 , Terence Dwyer 59, 60 , Elisabeth B Binder 29, 61 , Dawn L DeMeo 49 , Judith M Vonk 7, 62 , John Newnham 63 , Kelan G Tantisira 49 , Inger Kull 2, 64 , Joseph L Wiemels 65 , Barbara Heude 66 , Jordi Sunyer 16, 17, 18, 19 , Wenche Nystad 42 , Monica C Munthe-Kaas 42, 67 , Katri Räikkönen 42 , Emily Oken 30 , Rae-Chi Huang 48 , Scott T Weiss 49 , Josep Maria Antó 16, 17, 18, 19 , Jean Bousquet 68, 69 , Ashish Kumar 1, 70, 71 , Cilla Söderhäll 72 , Catarina Almqvist 73, 74 , Andres Cardenas 75 , Olena Gruzieva 1, 34 , Cheng-Jian Xu 76 , Sarah E Reese 41 , Juha Kere 77, 78 , Petter Brodin 72, 79, 80 , Olivia Solomon 35 , Matthias Wielscher 43 , Nina Holland 35 , Akram Ghantous 3 , Marie-France Hivert 20, 30, 81 , Janine F Felix 21, 22 , Gerard H Koppelman 76 , Stephanie J London 41 , Erik Melén 1, 2, 82
Affiliation  

BACKGROUND Preterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children. METHODS We performed meta-analysis of Illumina's HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4-18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung. RESULTS We identified 8899 CpGs in cord blood that were associated with gestational age (range 27-42 weeks), at Bonferroni significance, P < 1.06 × 10- 7, of which 3343 were novel. These were annotated to 4966 genes. After restricting findings to at least three significant adjacent CpGs, we identified 1276 CpGs annotated to 325 genes. Results were generally consistent when analyses were restricted to term births. Cord blood findings tended not to persist into childhood and adolescence. Pathway analyses identified enrichment for biological processes critical to embryonic development. Follow-up of identified genes showed correlations between gestational age and DNA methylation levels in fetal brain and lung tissue, as well as correlation with expression levels. CONCLUSIONS We identified numerous CpGs differentially methylated in relation to gestational age at birth that appear to reflect fetal developmental processes across tissues. These findings may contribute to understanding mechanisms linking gestational age to health effects.

中文翻译:


对新生儿和儿童血液 DNA 甲基化的全表观基因组荟萃分析确定了许多与胎龄相关的位点。



背景技术早产和较短的妊娠时间与新生儿和以后的发病率增加有关。由于表观基因组在胎儿发育过程中发挥着重要作用,我们研究了儿童孕龄与血液 DNA 甲基化之间的关联。方法 我们对来自 17 个队列的 3648 名新生儿(没有常见妊娠并发症、引产或剖腹产)中的 3648 名新生儿的胎龄和脐带血 DNA 甲基化之间的关联进行了 Illumina 的 HumanMmethylation450 阵列的荟萃分析。我们还在其他儿科队列中探讨了胎龄与 4-18 岁时测量的 DNA 甲基化之间的关系。在脐带血中进行 DNA 甲基化和基因表达相关性的后续分析。还在与胎龄健康影响相关的组织(胎儿脑和肺)中探索了 DNA 甲基化谱。结果 我们在脐带血中鉴定出 8899 个与胎龄(范围 27-42 周)相关的 CpG,具有 Bonferroni 显着性,P < 1.06 × 10-7,其中 3343 个是新的。这些被注释为 4966 个基因。在将发现限制为至少三个重要的相邻 CpG 后,我们确定了注释到 325 个基因的 1276 个 CpG。当分析仅限于足月出生时,结果总体上是一致的。脐带血检查结果往往不会持续到儿童期和青春期。通路分析确定了对胚胎发育至关重要的生物过程的富集。对已识别基因的跟踪显示胎龄与胎儿大脑和肺组织中 DNA 甲基化水平之间的相关性,以及与表达水平的相关性。 结论 我们确定了许多与出生胎龄相关的差异甲基化 CpG,这些 CpG 似乎反映了胎儿跨组织的发育过程。这些发现可能有助于理解胎龄与健康影响之间的联系机制。
更新日期:2020-04-22
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