Evidence map›Paper›PMID 28283040›Full record

ArticleGenome biology2017

Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome.

Warren A Cheung, Xiaojian Shao, Andréanne Morin, Valérie Siroux, Tony Kwan, Bing Ge, Dylan Aïssi, Lu Chen, Louella Vasquez, Fiona Allum and 23 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

56 citing papers in PubMed, 97 citations in OpenAlex.

  1. Uncovering alterations in cancer epigenetics via trans-dimensional Markov chain Monte Carlo and hidden Markov models.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 12 institutions in 4 countries.

Warren A CheungDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Xiaojian ShaoDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Andréanne MorinDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Valérie SirouxTeam of Environmental Epidemiology applied to Reproduction and Respiratory Health, Inserm U1209, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences, Grenoble, France.
Tony KwanDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Bing GeDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Dylan AïssiTeam of Environmental Epidemiology applied to Reproduction and Respiratory Health, Inserm U1209, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences, Grenoble, France.
Lu ChenDepartment of Human Genetics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK.
Louella VasquezDepartment of Human Genetics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK.
Fiona AllumDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Frédéric GuénardInstitute of Nutrition and Functional Foods (INAF), Laval University, Québec, QC, G1V 0A6, Canada.
Emmanuelle BouzigonGenetic Variation and Human Diseases Unit, UMR-946, INSERM, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France.
Marie-Michelle SimonMcGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada.
Elodie BoulierMcGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada.
Adriana RedensekMcGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada.
Stephen WattDepartment of Human Genetics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK.
Avik DattaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Laura ClarkeEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Paul FlicekEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Daniel MeadDepartment of Human Genetics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK.
Dirk S PaulUCL Cancer Institute, University College London, 72 Huntley Street, London, WC1E 6BT, UK.
Stephan BeckUCL Cancer Institute, University College London, 72 Huntley Street, London, WC1E 6BT, UK.
Guillaume BourqueDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Mark LathropDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
André TchernofQuébec Heart and Lung Institute, Laval University, Québec, QC, G1V 4G5, Canada.
Marie-Claude VohlInstitute of Nutrition and Functional Foods (INAF), Laval University, Québec, QC, G1V 0A6, Canada.
Florence DemenaisGenetic Variation and Human Diseases Unit, UMR-946, INSERM, Université Paris Diderot, Université Sorbonne Paris Cité, Paris, France.
Isabelle PinTeam of Environmental Epidemiology applied to Reproduction and Respiratory Health, Inserm U1209, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences, Grenoble, France.
Kate DownesDepartment of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK.
Hendrick G StunnenbergFaculty of Science, Department of Molecular Biology, Radboud University, Nijmegen, 6525GA, The Netherlands.
Nicole SoranzoDepartment of Human Genetics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK.
Tomi PastinenDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada. tomi.pastinen@gmail.com.
Elin GrundbergDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada. elin.grundberg@mcgill.ca.
McGill University · CAWellcome Sanger Institute · GBMcGill University and Génome Québec Innovation Centre · CAEuropean Bioinformatics Institute · GBUniversité Laval · CACentre National de la Recherche Scientifique · FRUniversity College London · GBFondation Jean Dausset-CEPH · FRRadboud University Medical Center · NLSorbonne Université · FRUniversité Grenoble Alpes · FRUniversity of Cambridge · GB

Funding

British Heart Foundation RG/08/014/24067British Heart Foundation SP/09/002CIHR EP1-120608CIHR TEC-128093Medical Research Council G0800270Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

backgroundThe functional impact of genetic variation has been extensively surveyed, revealing that genetic changes correlated to phenotypes lie mostly in non-coding genomic regions. Studies have linked allele-specific genetic changes to gene expression, DNA methylation, and histone marks but these investigations have only been carried out in a limited set of samples.

resultsWe describe a large-scale coordinated study of allelic and non-allelic effects on DNA methylation, histone mark deposition, and gene expression, detecting the interrelations between epigenetic and functional features at unprecedented resolution. We use information from whole genome and targeted bisulfite sequencing from 910 samples to perform genotype-dependent analyses of allele-specific methylation (ASM) and non-allelic methylation (mQTL). In addition, we introduce a novel genotype-independent test to detect methylation imbalance between chromosomes. Of the ~2.2 million CpGs tested for ASM, mQTL, and genotype-independent effects, we identify ~32% as being genetically regulated (ASM or mQTL) and ~14% as being putatively epigenetically regulated. We also show that epigenetically driven effects are strongly enriched in repressed regions and near transcription start sites, whereas the genetically regulated CpGs are enriched in enhancers. Known imprinted regions are enriched among epigenetically regulated loci, but we also observe several novel genomic regions (e.g., HOX genes) as being epigenetically regulated. Finally, we use our ASM datasets for functional interpretation of disease-associated loci and show the advantage of utilizing naïve T cells for understanding autoimmune diseases.

conclusionsOur rich catalogue of haploid methylomes across multiple tissues will allow validation of epigenome association studies and exploration of new biological models for allelic exclusion in the human genome.

Indexed as

AllelesDNA MethylationEpigenesis, GeneticEpigenomicsGenetic VariationGenome, HumanChromosomal Position EffectsCpG IslandsEnhancer Elements, GeneticGene Expression ProfilingGene Expression RegulationGenotypeHigh-Throughput Nucleotide SequencingHumansOrgan SpecificityPhenotype

Identifiers

PMID28283040
PMCPMC5346261
OpenAlexW4240859691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.