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Identification of autosomal cis expression quantitative trait methylation (cis eQTMs) in children’s blood

Authors :
Carlos Ruiz-Arenas
Carles Hernandez-Ferrer
Marta Vives-Usano
Sergi Marí
Ines Quintela
Dan Mason
Solène Cadiou
Maribel Casas
Sandra Andrusaityte
Kristine Bjerve Gutzkow
Marina Vafeiadi
John Wright
Johanna Lepeule
Regina Grazuleviciene
Leda Chatzi
Ángel Carracedo
Xavier Estivill
Eulàlia Marti
Geòrgia Escaramís
Martine Vrijheid
Juan R González
Mariona Bustamante
Source :
eLife, Vol 11 (2022)
Publication Year :
2022
Publisher :
eLife Sciences Publications Ltd, 2022.

Abstract

Background: The identification of expression quantitative trait methylation (eQTMs), defined as associations between DNA methylation levels and gene expression, might help the biological interpretation of epigenome-wide association studies (EWAS). We aimed to identify autosomal cis eQTMs in children’s blood, using data from 832 children of the Human Early Life Exposome (HELIX) project. Methods: Blood DNA methylation and gene expression were measured with the Illumina 450K and the Affymetrix HTA v2 arrays, respectively. The relationship between methylation levels and expression of nearby genes (1 Mb window centered at the transcription start site, TSS) was assessed by fitting 13.6 M linear regressions adjusting for sex, age, cohort, and blood cell composition. Results: We identified 39,749 blood autosomal cis eQTMs, representing 21,966 unique CpGs (eCpGs, 5.7% of total CpGs) and 8,886 unique transcript clusters (eGenes, 15.3% of total transcript clusters, equivalent to genes). In 87.9% of these cis eQTMs, the eCpG was located at

Details

Language :
English
ISSN :
2050084X
Volume :
11
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.3013a8cb16d340668b576973cce05265
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.65310