Evidence map›Paper›PMID 35302492›Full record

ArticleeLife2022

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

Carlos Ruiz-Arenas, Carles Hernandez-Ferrer, Marta Vives-Usano, Sergi Marí, Ines Quintela, Dan Mason, Solène Cadiou, Maribel Casas, Sandra Andrusaityte, Kristine Bjerve Gutzkow and 12 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 15 pooled it
4.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 15 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 10 institutions in 7 countries.

Carlos Ruiz-ArenasCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain.ORCID 0000-0002-6014-3498
Carles Hernandez-FerrerUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
Marta Vives-UsanoUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
Sergi MaríUniversitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID 0000-0003-2023-195X
Ines QuintelaMedicine Genomics Group, University of Santiago de Compostela, Santiago de Compostela, Spain.
Dan MasonBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom.
Solène CadiouUniversity Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France.
Maribel CasasUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
Sandra AndrusaityteDepartment of Environmental Science, Vytautas Magnus University, Kaunas, Lithuania.
Kristine Bjerve GutzkowDepartment of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
Marina VafeiadiUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom.
Johanna LepeuleUniversity Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France.ORCID 0000-0001-8907-197X
Regina GrazulevicieneDepartment of Environmental Science, Vytautas Magnus University, Kaunas, Lithuania.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, United States.
Ángel CarracedoMedicine Genomics Group, CIBERER, University of Santiago de Compostela, Santiago de Compostela, Spain.
Xavier EstivillQuantitative Genomics Medicine Laboratories (qGenomics), Esplugues del Llobrega, Barcelona, Spain.
Eulàlia MartiCIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
Geòrgia EscaramísCIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
Martine VrijheidUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
Juan R GonzálezUniversitat Pompeu Fabra (UPF), Barcelona, Spain.
Mariona BustamanteUniversitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID 0000-0003-0127-2860
Universitat Pompeu Fabra · ESBradford Teaching Hospitals NHS Foundation Trust · GBCentre National de la Recherche Scientifique · FRCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESUniversidade de Santiago de Compostela · ESVytautas Magnus University · LTNorwegian Institute of Public Health · NOQuantitative Genomics Medicine Laboratories (qGenomics)University of Crete · GRUniversity of Southern California · US

Funding

Medical Research Council MR/N024397/1Wellcome TrustWellcome Trust WT101597MA
6 · The paper itself

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 <250 kb from eGene's TSS; and 58.8% of all eQTMs showed an inverse relationship between the methylation and expression levels. Only around half of the autosomal cis-eQTMs eGenes could be captured through annotation of the eCpG to the closest gene. eCpGs had less measurement error and were enriched for active blood regulatory regions and for CpGs reported to be associated with environmental exposures or phenotypic traits. In 40.4% of the eQTMs, the CpG and the eGene were both associated with at least one genetic variant. The overlap of autosomal cis eQTMs in children's blood with those described in adults was small (13.8%), and age-shared cis eQTMs tended to be proximal to the TSS and enriched for genetic variants. Conclusions: This catalogue of autosomal cis eQTMs in children's blood can help the biological interpretation of EWAS findings and is publicly available at https://helixomics.isglobal.org/ and at Dryad (doi:10.5061/dryad.fxpnvx0t0). Funding: The study has received funding from the European Community's Seventh Framework Programme (FP7/2007-206) under grant agreement no 308333 (HELIX project); the H2020-EU.3.1.2. - Preventing Disease Programme under grant agreement no 874583 (ATHLETE project); from the European Union's Horizon 2020 research and innovation programme under grant agreement no 733206 (LIFECYCLE project), and from the European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL and Instituto de Salud Carlos III) under the grant agreement no AC18/00006 (NutriPROGRAM project). The genotyping was supported by the projects PI17/01225 and PI17/01935, funded by the Instituto de Salud Carlos III and co-funded by European Union (ERDF, "A way to make Europe") and the Centro Nacional de Genotipado-CEGEN (PRB2-ISCIII). BiB received core infrastructure funding from the Wellcome Trust (WT101597MA) and a joint grant from the UK Medical Research Council (MRC) and Economic and Social Science Research Council (ESRC) (MR/N024397/1). INMA data collections were supported by grants from the Instituto de Salud Carlos III, CIBERESP, and the Generalitat de Catalunya-CIRIT. KANC was funded by the grant of the Lithuanian Agency for Science Innovation and Technology (6-04-2014_31V-66). The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. The Rhea project was financially supported by European projects (EU FP6-2003-Food-3-NewGeneris, EU FP6. STREP Hiwate, EU FP7 ENV.2007.1.2.2.2. Project No 211250 Escape, EU FP7-2008-ENV-1.2.1.4 Envirogenomarkers, EU FP7-HEALTH-2009- single stage CHICOS, EU FP7 ENV.2008.1.2.1.6. Proposal No 226285 ENRIECO, EU- FP7- HEALTH-2012 Proposal No 308333 HELIX), and the Greek Ministry of Health (Program of Prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece: 2011-2014; "Rhea Plus": Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012-15). We acknowledge support from the Spanish Ministry of Science and Innovation through the "Centro de Excelencia Severo Ochoa 2019-2023" Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. MV-U and CR-A were supported by a FI fellowship from the Catalan Government (FI-DGR 2015 and #016FI_B 00272). MC received funding from Instituto Carlos III (Ministry of Economy and Competitiveness) (CD12/00563 and MS16/00128).

Indexed as

DNA MethylationEpigenomeAdultChild, PreschoolCohort StudiesEuropeHumansPhenotypebloodchildrenDNA methylationepidemiologyepigeneticseQTMgeneticsgenomicsglobal healthhumantranscription

Identifiers

PMID35302492
PMCPMC8933004
OpenAlexW4220782328

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