MétaCan
Menu
Back to cohort
Record W2800021378

DNA methylation in childhood asthma: an epigenome-wide meta-analysis

2018· article· en· W2800021378 on OpenAlexaff
Cheng‐Jian Xu, Cilla Söderhäll, Mariona Bustamante, Nour Baïz, Olena Gruzieva, Ulrike Gehring, Dan Mason, Leda Chatzi, Mikel Basterrechea, Sabrina Llop, Maties Torrent, Francesco Forastiere, Maria Pia Fantini, Karin C. Lødrup Carlsen, Tari Haahtela, Andréanne Morin, Marjan Kerkhof, Simon Kebede Merid, Bianca van Rijkom, Soesma A. Jankipersadsing, Marc Jan Bonder, Stéphane Ballereau, Cornelis J. Vermeulen, Raúl Aguirre‐Gamboa, Johan C. de Jongste, Henriëtte A. Smit, Ashish Kumar, Göran Pershagen, Stefano Guerra, Judith García‐Aymerich, Dario Greco, Lovisa E. Reinius, Rosemary McEachan, Raf Azad, Vegard Hovland, Petter Mowinckel, Harri Alenius, Nanna Fyhrquist, Nathanaël Lemonnier, Johann Pellet, Charles Auffray, Pieter van der Vlies, Cleo C. van Diemen, Yang Li, Cisca Wijmenga, Mihai G. Netea, Miriam F. Moffatt, William Cookson, Josep M. Antó, Jean Bousquet, Tiina Laatikainen, Catherine Laprise, Kai-Häkon Carlsen, Davide Gori, Daniela Porta, Carmen Íñiguez, José Ramón Bilbao, John Wright, Bert Brunekreef, Juha Kere, Martijn C. Nawijn, Isabella Annesi‐Maesano, Jordi Sunyer, Erik Melén, Gerard H. Koppelman

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité du Québec à ChicoutimiMcGill University
Fundersnot available
KeywordsCpG siteDNA methylationEpigenomeAsthmaMethylationEpigenomicsEpigeneticsMedicineWhole bloodDifferentially methylated regionsImmunologyCord bloodAllergyBiologyBioinformaticsGeneticsGeneGene expression
DOInot available

Abstract

fetched live from OpenAlex

Background: DNA methylation profiles associated with childhood asthma might provide novel insights into disease pathogenesis. We did an epigenome-wide association study to assess methylation profiles associated with childhood asthma. Methods: We did a large-scale epigenome-wide association study (EWAS) within the Mechanisms of the Development of ALLergy (MeDALL) project. We examined epigenome-wide methylation using Illumina Infinium Human Methylation450 BeadChips (450K) in whole blood in 207 children with asthma and 610 controls at age 4–5 years, and 185 children with asthma and 546 controls at age 8 years using a cross-sectional case-control design. After identification of differentially methylated CpG sites in the discovery analysis, we did a validation study in children (4–16 years; 247 cases and 2949 controls) from six additional European cohorts and meta-analysed the results. We next investigated whether replicated CpG sites in cord blood predict later asthma in 1316 children. We subsequently investigated cell-type-specific methylation of the identified CpG sites in eosinophils and respiratory epithelial cells and their related gene-expression signatures. We studied cell-type specificity of the asthma association of the replicated CpG sites in 455 respiratory epithelial cell samples, collected by nasal brushing of 16-year-old children as well as in DNA isolated from blood eosinophils (16 with asthma, eight controls [age 2–56 years]) and compared this with whole-blood DNA samples of 74 individuals with asthma and 93 controls (age 1–79 years). Whole-blood transcriptional profiles associated with replicated CpG sites were annotated using RNA-seq data of subsets of peripheral blood mononuclear cells sorted by fluorescence-activated cell sorting. Findings: 27 methylated CpG sites were identified in the discovery analysis. 14 of these CpG sites were replicated and passed genome-wide significance (p<1·14 × 10−7) after meta-analysis. Consistently lower methylation levels were observed at all associated loci across childhood from age 4 to 16 years in participants with asthma, but not in cord blood at birth. All 14 CpG sites were significantly associated with asthma in the second replication study using whole-blood DNA, and were strongly associated with asthma in purified eosinophils. Whole-blood transcriptional signatures associated with these CpG sites indicated increased activation of eosinophils, effector and memory CD8 T cells and natural killer cells, and reduced number of naive T cells. Five of the 14 CpG sites were associated with asthma in respiratory epithelial cells, indicating cross-tissue epigenetic effects. Interpretation: Reduced whole-blood DNA methylation at 14 CpG sites acquired after birth was strongly associated with childhood asthma. These CpG sites and their associated transcriptional profiles indicate activation of eosinophils and cytotoxic T cells in childhood asthma. Our findings merit further investigations of the role of epigenetics in a clinical context. Funding: EU and the Seventh Framework Programme (the MeDALL project).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.222
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueUtrecht University Repository (Utrecht University)Same topicEpigenetics and DNA MethylationFrench-language works237,207