Evidence map›Paper›PMID 26699896›Full record

ArticleGenome biology2015

Population whole-genome bisulfite sequencing across two tissues highlights the environment as the principal source of human methylome variation.

Stephan Busche, Xiaojian Shao, Maxime Caron, Tony Kwan, Fiona Allum, Warren A Cheung, Bing Ge, Susan Westfall, Marie-Michelle Simon, Multiple Tissue Human Expression Resource and 10 more

Abstract readTwin Study
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Overweight and obesity in pregnancy: their impact on epigenetics.European journal of clinical nutrition · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

20 authors.

Stephan BuscheDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. stephan.busche@mcgill.ca.
Xiaojian ShaoDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. shao.xiaojian@mail.mcgill.ca.
Maxime CaronMcGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada. max.caron@mail.mcgill.ca.
Tony KwanDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. tony.kwan@mcgill.ca.
Fiona AllumDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. fiona.allum@mail.mcgill.ca.
Warren A CheungDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. warren.cheung@mcgill.ca.
Bing GeMcGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada. bing.ge@mail.mcgill.ca.
Susan WestfallDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. susan.westfall@mail.mcgill.ca.
Marie-Michelle SimonDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. marie-michelle.simon@mcgill.ca.
Multiple Tissue Human Expression Resource
Amy BarrettOxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK. amy.barrett@ocdem.ox.ac.uk.
Jordana T BellDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. jordana.bell@kcl.ac.uk.
Mark I McCarthyOxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK. mark.mccarthy@drl.ox.ac.uk.
Panos DeloukasWilliam Harvey Research Institute, Queen Mary University of London, London, UK. p.deloukas@qmul.ac.uk.
Mathieu BlanchetteSchool of Computer Science, McGill University, Montreal, Quebec, Canada. blanchem@cs.mcgill.ca.
Guillaume BourqueDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. guil.bourque@mcgill.ca.
Timothy D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. tim.spector@kcl.ac.uk.
Mark LathropDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. mark.lathrop3@gmail.com.
Tomi PastinenDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. tomi.pastinen@mcgill.ca.
Elin GrundbergDepartment of Human Genetics, McGill University, 740 Dr. Penfield Avenue, H3A 0G1, Montreal, Quebec, Canada. elin.grundberg@mcgill.ca.

Funding

Wellcome Trust 081917/Z/07/ZWellcome Trust 090532
6 · The paper itself

Abstract

backgroundCpG methylation variation is involved in human trait formation and disease susceptibility. Analyses within populations have been biased towards CpG-dense regions through the application of targeted arrays. We generate whole-genome bisulfite sequencing data for approximately 30 adipose and blood samples from monozygotic and dizygotic twins for the characterization of non-genetic and genetic effects at single-site resolution.

resultsPurely invariable CpGs display a bimodal distribution with enrichment of unmethylated CpGs and depletion of fully methylated CpGs in promoter and enhancer regions. Population-variable CpGs account for approximately 15-20 % of total CpGs per tissue, are enriched in enhancer-associated regions and depleted in promoters, and single nucleotide polymorphisms at CpGs are a frequent confounder of extreme methylation variation. Differential methylation is primarily non-genetic in origin, with non-shared environment accounting for most of the variance. These non-genetic effects are mainly tissue-specific. Tobacco smoking is associated with differential methylation in blood with no evidence of this exposure impacting cell counts. Opposite to non-genetic effects, genetic effects of CpG methylation are shared across tissues and thus limit inter-tissue epigenetic drift. CpH methylation is rare, and shows similar characteristics of variation patterns as CpGs.

conclusionsOur study highlights the utility of low pass whole-genome bisulfite sequencing in identifying methylome variation beyond promoter regions, and suggests that targeting the population dynamic methylome of tissues requires assessment of understudied intergenic CpGs distal to gene promoters to reveal the full extent of inter-individual variation.

Indexed as

DNA MethylationGene-Environment InteractionGenetic VariationGenome, HumanAdipose TissueBloodCpG IslandsFemaleHumansSmokingTwins, DizygoticTwins, Monozygotic

Identifiers

PMID26699896
PMCPMC4699357

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.