Evidence map›Paper›PMID 26888867›Full record

ArticleG3 (Bethesda, Md.)2016

Mapping of Variable DNA Methylation Across Multiple Cell Types Defines a Dynamic Regulatory Landscape of the Human Genome.

Junchen Gu, Michael Stevens, Xiaoyun Xing, Daofeng Li, Bo Zhang, Jacqueline E Payton, Eugene M Oltz, James N Jarvis, Kaiyu Jiang, Theodore Cicero and 2 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. DNA Methylation in Nonalcoholic Fatty Liver Disease.International journal of molecular sciences · 2020
    Review
  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

12 authors at 3 institutions in 1 country.

Junchen GuDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108.
Michael StevensDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108 Department of Computer Science and Engineering, Washington University in St. Louis, Missouri 63130.
Xiaoyun XingDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108.
Daofeng LiDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108.
Bo ZhangDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri 63108.
Jacqueline E PaytonDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri 63110.
Eugene M OltzDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri 63110.
James N JarvisDepartment of Pediatrics, University of Buffalo, New York 14203.
Kaiyu JiangDepartment of Pediatrics, University of Buffalo, New York 14203.
Theodore CiceroDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110.
Joseph F CostelloBrain Tumor Research Center, Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California 94143.
Ting WangDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108 Department of Computer Science and Engineering, Washington University in St. Louis, Missouri 63130 twang@genetics.wustl.edu.
Washington University in St. Louis · USUniversity at Buffalo, State University of New York · USUCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICSR25DA027995 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN, RICE, JOHN P. · 2009 to 2019
$4.3M
TARGETING EPIGENOMIC SIGNATURES IN NON-HODGKIN LYMPHOMA FOR NOVEL THERAPEUTICSR01CA156690 · NCI · WASHINGTON UNIVERSITY · PI OLTZ, EUGENE M, PAYTON, JACQUELINE E. · 2010 to 2014
$3.1M
DECODING THE IMPACT OF TRANSPOSABLE ELEMENTS ON GENE REGULATIONR01HG007175 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2021
$2.7M
Microarray-Based Biomarkers in Juvenile Idiopathic ArthritisR01AR060604 · NIAMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI JARVIS, JAMES N · 2011 to 2015
$2.6M
The WashU 4DN Network Data Coordination and Integration CenterU01CA200060 · NCI · WASHINGTON UNIVERSITY · PI WANG, TING · 2015 to 2019
$1.9M
SEQUENCE-SPECIFIC CHROMATIN MODIFIERS; NOVEL PROTEIN THERAPEUTICS FOR B CELL LYMPHOMAR01CA188286 · NCI · WASHINGTON UNIVERSITY · PI OLTZ, EUGENE M, PAYTON, JACQUELINE E. · 2015 to 2019
$1.7M
ADVANCED EPI/GENOME BROWSER WITH ENHANCED VISUALIZATION AND ANALYSIS TOOLSR01HG007354 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2013 to 2016
$1.5M
CHARTING THE EPIGENOMIC LANDSCAPE OF HUMAN TRANSPOSABLE ELEMENTSR01ES024992 · NIEHS · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2015
$342k
NCI NIH HHS R01 CA156690NCI NIH HHS R01 CA188286NCI NIH HHS U01 CA200060NHGRI NIH HHS R01 HG007175NHGRI NIH HHS R01 HG007354NIAMS NIH HHS R01 AR060604NIDA NIH HHS R25 DA027995NIEHS NIH HHS R01 ES024992
6 · The paper itself

Abstract

DNA methylation is an important epigenetic modification involved in many biological processes and diseases. Many studies have mapped DNA methylation changes associated with embryogenesis, cell differentiation, and cancer at a genome-wide scale. Our understanding of genome-wide DNA methylation changes in a developmental or disease-related context has been steadily growing. However, the investigation of which CpGs are variably methylated in different normal cell or tissue types is still limited. Here, we present an in-depth analysis of 54 single-CpG-resolution DNA methylomes of normal human cell types by integrating high-throughput sequencing-based methylation data. We found that the ratio of methylated to unmethylated CpGs is relatively constant regardless of cell type. However, which CpGs made up the unmethylated complement was cell-type specific. We categorized the 26,000,000 human autosomal CpGs based on their methylation levels across multiple cell types to identify variably methylated CpGs and found that 22.6% exhibited variable DNA methylation. These variably methylated CpGs formed 660,000 variably methylated regions (VMRs), encompassing 11% of the genome. By integrating a multitude of genomic data, we found that VMRs enrich for histone modifications indicative of enhancers, suggesting their role as regulatory elements marking cell type specificity. VMRs enriched for transcription factor binding sites in a tissue-dependent manner. Importantly, they enriched for GWAS variants, suggesting that VMRs could potentially be implicated in disease and complex traits. Taken together, our results highlight the link between CpG methylation variation, genetic variation, and disease risk for many human cell types.

Indexed as

Chromosome MappingDNA MethylationGene Expression RegulationGenetic VariationGenome, HumanGenomicsCpG IslandsEnhancer Elements, GeneticEpigenesis, GeneticGene Expression ProfilingGenome-Wide Association StudyHistonesHumansMethylationOrgan SpecificityHistonesDNA methylomesmethylation dynamicsmethylCRFregulatory elements

Identifiers

PMID26888867
PMCPMC4825665
OpenAlexW2309481081

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.