Evidence map›Paper›PMID 31010359›Full record

ArticleEpigenetics2019

Whole genome bisulfite sequencing of Down syndrome brain reveals regional DNA hypermethylation and novel disorder insights.

Benjamin I Laufer, Hyeyeon Hwang, Annie Vogel Ciernia, Charles E Mordaunt, Janine M LaSalle

Abstract read
In one paragraph

Article in Epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
  8. SilencingEnvironmental epigenetics · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Review
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  15. Article
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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

5 authors.

Benjamin I Laufera Department of Medical Microbiology and Immunology, School of Medicine , Genome Center, MIND Institute, University of California , Davis , CA , USA.ORCID 0000-0002-7558-1335
Hyeyeon Hwanga Department of Medical Microbiology and Immunology, School of Medicine , Genome Center, MIND Institute, University of California , Davis , CA , USA.ORCID 0000-0002-7558-1335
Annie Vogel Cierniaa Department of Medical Microbiology and Immunology, School of Medicine , Genome Center, MIND Institute, University of California , Davis , CA , USA.ORCID 0000-0002-3406-3806
Charles E Mordaunta Department of Medical Microbiology and Immunology, School of Medicine , Genome Center, MIND Institute, University of California , Davis , CA , USA.ORCID 0000-0002-3820-3298
Janine M LaSallea Department of Medical Microbiology and Immunology, School of Medicine , Genome Center, MIND Institute, University of California , Davis , CA , USA.ORCID 0000-0002-3480-2031

Funding

Research Project: Pathologic Significance of Maternal AutoantibodiesP50HD103526 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JUDY A. VAN DE WATER · 2020 to 2026
$9.7M
Rodent Behavior CoreU54HD079125 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ABBEDUTO, LEONARD J. · 2013 to 2019
$8.5M
Methylomic and genomic impacts of organic pollutants in Dup15q syndromeR01ES021707 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LASALLE, JANINE M · 2012 to 2016
$1.8M
Noncoding RNAs at the heart of the Prader-Willi locusR56NS076263 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LASALLE, JANINE M · 2017 to 2017
$532k
Mapping Multi-Omics Networks in Microglia Across Autism ModelsK01MH116389 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CIERNIA, ANNIE VOGEL · 2018 to 2018
$106k
NICHD NIH HHS P50 HD103526NICHD NIH HHS U54 HD079125NIEHS NIH HHS R01 ES021707NIMH NIH HHS K01 MH116389NINDS NIH HHS R56 NS076263
6 · The paper itself

Abstract

Down Syndrome (DS) is the most common genetic cause of intellectual disability, in which an extra copy of human chromosome 21 (HSA21) affects regional DNA methylation profiles across the genome. Although DNA methylation has been previously examined at select regulatory regions across the genome in a variety of DS tissues and cells, differentially methylated regions (DMRs) have yet to be examined in an unbiased sequencing-based approach. Here, we present the first analysis of DMRs from whole genome bisulfite sequencing (WGBS) data of human DS and matched control brain, specifically frontal cortex. While no global differences in DNA methylation were observed, we identified 3,152 DS-DMRs across the entire genome, the majority of which were hypermethylated in DS. DS-DMRs were significantly enriched at CpG islands and de-enriched at specific gene body and regulatory regions. Functionally, the hypermethylated DS-DMRs were enriched for one-carbon metabolism, membrane transport, and glutamatergic synaptic signalling, while the hypomethylated DMRs were enriched for proline isomerization, glial immune response, and apoptosis. Furthermore, in a cross-tissue comparison to previous studies of DNA methylation from diverse DS tissues and reference epigenomes, hypermethylated DS-DMRs showed a strong cross-tissue concordance, while a more tissue-specific pattern was observed for the hypomethylated DS-DMRs. Overall, this approach highlights that low-coverage WGBS of clinical samples can identify epigenetic alterations to known biological pathways, which are potentially relevant to therapeutic treatments and include metabolic pathways. These results also provide new insights into the genome-wide effects of genetic alterations on DNA methylation profiles indicative of altered neurodevelopment and brain function.

Indexed as

BrainCpG IslandsDNA MethylationDown SyndromeEpigenesis, GeneticFrontal LobeGenome, HumanHumansMaleWhole Genome Sequencingbraindifferentially methylated regionsDMRsDNA methylationDown syndromeEpigenomicsWGBSwhole genome bisulfite sequencing

Identifiers

PMID31010359
PMCPMC6557615

What OpenQuestion holds

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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.