Evidence map›Paper›PMID 25474312›Full record

ArticlePLoS genetics2014

Genetic analysis of the cardiac methylome at single nucleotide resolution in a model of human cardiovascular disease.

Michelle D Johnson, Michael Mueller, Martyna Adamowicz-Brice, Melissa J Collins, Pascal Gellert, Klio Maratou, Prashant K Srivastava, Maxime Rotival, Shahena Butt, Laurence Game and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. A Functional Variant ofJournal of asthma and allergy · 2026
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  6. Epigenetic inheritance of acquired traits through DNA methylation.Animal frontiers : the review magazine of animal agriculture · 2021
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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

17 authors at 4 institutions in 2 countries.

Michelle D JohnsonPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
Michael MuellerPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
Martyna Adamowicz-BricePhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
Melissa J CollinsPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
Pascal GellertPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; Institute of Clinical Sciences, Imperial College, London, United Kingdom.
Klio MaratouPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; Institute of Clinical Sciences, Imperial College, London, United Kingdom.
Prashant K SrivastavaPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom.
Maxime RotivalIntegrative Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom.
Shahena ButtIntegrative Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom.
Laurence GameGenomics Core Laboratory, MRC Clinical Sciences Centre, London, United Kingdom.
Santosh S AtanurPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
Nicholas SilverPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
Penny J NorsworthyPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom.
Sarah R LangleyIntegrative Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom.
Enrico PetrettoIntegrative Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom.
Michal PravenecInstitute of Physiology, Academy of Sciences of the Czech Republic, Prague, Czech Republic; Institute of Biology and Medical Genetics, 1st Medical Faculty, Charles University, Prague, Czech Republic.
Timothy J AitmanPhysiological Genomics and Medicine Group, MRC Clinical Sciences Centre, London, United Kingdom; Institute of Clinical Sciences, Imperial College, London, United Kingdom.
Genomics (United Kingdom) · GBImperial College London · GBCzech Academy of Sciences · CZNIHR Imperial Biomedical Research Centre · GB

Funding

Medical Research Council MC_U120061454Medical Research Council MC_U120097112
6 · The paper itself

Abstract

Epigenetic marks such as cytosine methylation are important determinants of cellular and whole-body phenotypes. However, the extent of, and reasons for inter-individual differences in cytosine methylation, and their association with phenotypic variation are poorly characterised. Here we present the first genome-wide study of cytosine methylation at single-nucleotide resolution in an animal model of human disease. We used whole-genome bisulfite sequencing in the spontaneously hypertensive rat (SHR), a model of cardiovascular disease, and the Brown Norway (BN) control strain, to define the genetic architecture of cytosine methylation in the mammalian heart and to test for association between methylation and pathophysiological phenotypes. Analysis of 10.6 million CpG dinucleotides identified 77,088 CpGs that were differentially methylated between the strains. In F1 hybrids we found 38,152 CpGs showing allele-specific methylation and 145 regions with parent-of-origin effects on methylation. Cis-linkage explained almost 60% of inter-strain variation in methylation at a subset of loci tested for linkage in a panel of recombinant inbred (RI) strains. Methylation analysis in isolated cardiomyocytes showed that in the majority of cases methylation differences in cardiomyocytes and non-cardiomyocytes were strain-dependent, confirming a strong genetic component for cytosine methylation. We observed preferential nucleotide usage associated with increased and decreased methylation that is remarkably conserved across species, suggesting a common mechanism for germline control of inter-individual variation in CpG methylation. In the RI strain panel, we found significant correlation of CpG methylation and levels of serum chromogranin B (CgB), a proposed biomarker of heart failure, which is evidence for a link between germline DNA sequence variation, CpG methylation differences and pathophysiological phenotypes in the SHR strain. Together, these results will stimulate further investigation of the molecular basis of locally regulated variation in CpG methylation and provide a starting point for understanding the relationship between the genetic control of CpG methylation and disease phenotypes.

Indexed as

DNA MethylationGenomeAnimalsBase SequenceCardiovascular DiseasesCells, CulturedDisease Models, AnimalHumansMaleMyocardiumMyocytes, CardiacPolymorphism, Single NucleotideRatsRats, Inbred BNRats, Inbred SHRSequence Analysis, DNA

Identifiers

PMID25474312
PMCPMC4256262
OpenAlexW2132332355

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.