Evidence map›Paper›PMID 30218040›Full record

ArticleNature communications2018

Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation.

René Luijk, Haoyu Wu, Cavin K Ward-Caviness, Eilis Hannon, Elena Carnero-Montoro, Josine L Min, Pooja Mandaviya, Martina Müller-Nurasyid, Hailiang Mei, Silvere M van der Maarel and 19 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 31 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

29 authors at 11 institutions in 4 countries.

René LuijkMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
Haoyu WuDepartment of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
Cavin K Ward-CavinessInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, 85764, Oberschleißheim, Germany.
Eilis HannonUniversity of Exeter Medical School, Exeter, EX4 4QD, UK.
Elena Carnero-MontoroDepartment of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
Josine L MinMRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 1TH, UK.
Pooja MandaviyaDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands.
Martina Müller-NurasyidDZHK (German Centre for Cardiovascular Research), partner site: Munich Heart Alliance, Munich, 80802, Germany.ORCID http://orcid.org/0000-0003-3793-5910
Hailiang MeiDepartment of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
Silvere M van der MaarelDepartment of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
BIOS Consortium
Caroline ReltonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 1TH, UK.
Jonathan MillUniversity of Exeter Medical School, Exeter, EX4 4QD, UK.
Melanie WaldenbergerInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, 85764, Oberschleißheim, Germany.
Jordana T BellDepartment of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
Rick JansenDepartment of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, 1081 HV, The Netherlands.ORCID http://orcid.org/0000-0002-3333-6737
Alexandra ZhernakovaDepartment of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, 9713 AV, The Netherlands.
Lude FrankeDepartment of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, 9713 AV, The Netherlands.ORCID http://orcid.org/0000-0002-5159-8802
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.ORCID http://orcid.org/0000-0003-4450-3112
Dorret I BoomsmaDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, 1081 TB, The Netherlands.
Cornelia M van DuijnDepartment of Epidemiology, Genetic Epidemiology Unit, ErasmusMC, Rotterdam, 3015 GE, The Netherlands.
Marleen M J van GreevenbroekDepartment of Internal Medicine, Maastricht University Medical Center, Maastricht, 6211 LK, The Netherlands.
Jan H VeldinkDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands.
Cisca WijmengaDepartment of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, 9713 AV, The Netherlands.
Joyce van MeursDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands.
Lucia DaxingerDepartment of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
P Eline SlagboomMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
Erik W van ZwetMedical Statistics, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
Bastiaan T HeijmansMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands. b.t.heijmans@lumc.nl.ORCID http://orcid.org/0000-0001-5918-0534
Leiden University Medical Center · NLUniversity Medical Center Groningen · NLMaastricht University · NLAmsterdam Neuroscience · NLErasmus MC · NLHelmholtz Zentrum München · DEKing's College London · GBUniversity Medical Center Utrecht · NLUniversity of Bristol · GBUniversity of Exeter · GBSURFsara (Netherlands) · NL

Funding

Medical Research Council G9815508Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2Wellcome Trust
6 · The paper itself

Abstract

X-chromosome inactivation (XCI), i.e., the inactivation of one of the female X chromosomes, restores equal expression of X-chromosomal genes between females and males. However, ~10% of genes show variable degrees of escape from XCI between females, although little is known about the causes of variable XCI. Using a discovery data-set of 1867 females and 1398 males and a replication sample of 3351 females, we show that genetic variation at three autosomal loci is associated with female-specific changes in X-chromosome methylation. Through cis-eQTL expression analysis, we map these loci to the genes SMCHD1/METTL4, TRIM6/HBG2, and ZSCAN9. Low-expression alleles of the loci are predominantly associated with mild hypomethylation of CpG islands near genes known to variably escape XCI, implicating the autosomal genes in variable XCI. Together, these results suggest a genetic basis for variable escape from XCI and highlight the potential of a population genomics approach to identify genes involved in XCI.

Indexed as

Chromosomal Proteins, Non-HistoneCpG IslandsDNA-Binding ProteinsDNA MethylationFemalegamma-GlobinsGene ExpressionGene Expression ProfilingGenetic VariationHumansMaleMethyltransferasesTripartite Motif ProteinsUbiquitin-Protein LigasesX Chromosome InactivationChromosomal Proteins, Non-HistoneDNA-Binding Proteinsgamma-GlobinsMethyltransferasesMETTL4 protein, humanSMCHD1 protein, humanTRIM6 protein, humanTripartite Motif ProteinsUbiquitin-Protein LigasesZSCAN9 protein, human

Identifiers

PMID30218040
PMCPMC6138682
OpenAlexW2891468310

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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.