Evidence map›Paper›PMID 35550596›Full record

ArticleCommunications biology2022

The early-life exposome modulates the effect of polymorphic inversions on DNA methylation.

Natàlia Carreras-Gallo, Alejandro Cáceres, Laura Balagué-Dobón, Carlos Ruiz-Arenas, Sandra Andrusaityte, Ángel Carracedo, Maribel Casas, Leda Chatzi, Regina Grazuleviciene, Kristine Bjerve Gutzkow and 14 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Speed reading the epigenome and genome.Nature biotechnology · 2023
    Article
  9. Article
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

24 authors at 10 institutions in 6 countries.

Natàlia Carreras-Gallo *Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0001-8559-2313
Alejandro Cáceres *Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Laura Balagué-DobónBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0003-3869-9737
Carlos Ruiz-ArenasInstitut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Spain.ORCID 0000-0002-6014-3498
Sandra AndrusaityteDepartment of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania.ORCID 0000-0002-4309-0208
Ángel CarracedoMedicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), University of Santiago de Compostela, CEGEN-PRB3, Santiago de Compostela, Spain.
Maribel CasasBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Regina GrazulevicieneDepartment of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania.ORCID 0000-0002-0210-8053
Kristine Bjerve GutzkowDepartment of Environmental Health, Norwegian Institute of Public Health, 0456, Oslo, Norway.
Johanna LepeuleInstitut national de la santé et de la recherche médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France.ORCID 0000-0001-8907-197X
Léa MaitreBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0003-3682-7117
Mark NieuwenhuijsenBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Remy SlamaInstitut national de la santé et de la recherche médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France.
Nikos StratakisBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Cathrine ThomsenDepartment of Environmental Health, Norwegian Institute of Public Health, 0456, Oslo, Norway.
Jose UrquizaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0003-2220-607X
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Tiffany YangBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Geòrgia EscaramísCentro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Mariona BustamanteBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0003-0127-2860
Martine VrijheidBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0002-7090-1758
Luis A Pérez-JuradoInstitut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Spain.ORCID 0000-0002-1988-3005
Juan R GonzálezBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain. juanr.gonzalez@isglobal.org.ORCID 0000-0003-3267-2146
Universitat Pompeu Fabra · ESBarcelona Institute for Global Health · ESBradford Teaching Hospitals NHS Foundation Trust · GBInserm · FRNorwegian Institute of Public Health · NOVytautas Magnus University · LTUniversidade de Santiago de Compostela · ESUniversitat Autònoma de Barcelona · ESUniversitat de Girona · ESUniversity of Southern California · US

Funding

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

Abstract

Polymorphic genomic inversions are chromosomal variants with intrinsic variability that play important roles in evolution, environmental adaptation, and complex traits. We investigated the DNA methylation patterns of three common human inversions, at 8p23.1, 16p11.2, and 17q21.31 in 1,009 blood samples from children from the Human Early Life Exposome (HELIX) project and in 39 prenatal heart tissue samples. We found inversion-state specific methylation patterns within and nearby flanking each inversion region in both datasets. Additionally, numerous inversion-exposure interactions on methylation levels were identified from early-life exposome data comprising 64 exposures. For instance, children homozygous at inv-8p23.1 and higher meat intake were more susceptible to TDH hypermethylation (P = 3.8 × 10

Indexed as

DNA MethylationExposomeAdultAllelesChildChromosome InversionFetusHumansObesity

Identifiers

PMID35550596
PMCPMC9098634
OpenAlexW4280637517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.