Evidence map›Paper›PMID 34463256›Full record

ArticleeLife2021

Leveraging the Mendelian disorders of the epigenetic machinery to systematically map functional epigenetic variation.

Teresa Romeo Luperchio, Leandros Boukas, Li Zhang, Genay Pilarowski, Jenny Jiang, Allison Kalinousky, Kasper D Hansen, Hans T Bjornsson

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genome-wide analysis of Smad and Schnurri transcription factors inbioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
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

8 authors at 1 institution in 2 countries.

Teresa Romeo Luperchio *Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID 0000-0001-8586-3101
Leandros Boukas *Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID 0000-0002-6464-867X
Li ZhangDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.
Genay PilarowskiDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.
Jenny JiangDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID 0000-0002-8310-298X
Allison KalinouskyDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID 0000-0001-7292-8500
Kasper D HansenDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.
Hans T BjornssonDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID 0000-0001-6635-6753
Johns Hopkins University · US

Funding

Analysis of genomics datasets at a massive scaleR01GM121459 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HANSEN, KASPER DANIEL · 2017 to 2021
$2.3M
NIGMS NIH HHS R01 GM121459Wellcome Trust
6 · The paper itself

Abstract

Although each Mendelian Disorder of the Epigenetic Machinery (MDEM) has a different causative gene, there are shared disease manifestations. We hypothesize that this phenotypic convergence is a consequence of shared epigenetic alterations. To identify such shared alterations, we interrogate chromatin (ATAC-seq) and expression (RNA-seq) states in B cells from three MDEM mouse models (Kabuki [KS] type 1 and 2 and Rubinstein-Taybi type 1 [RT1] syndromes). We develop a new approach for the overlap analysis and find extensive overlap primarily localized in gene promoters. We show that disruption of chromatin accessibility at promoters often disrupts downstream gene expression, and identify 587 loci and 264 genes with shared disruption across all three MDEMs. Subtle expression alterations of multiple, IgA-relevant genes, collectively contribute to IgA deficiency in KS1 and RT1, but not in KS2. We propose that the joint study of MDEMs offers a principled approach for systematically mapping functional epigenetic variation in mammals.

Indexed as

Abnormalities, MultipleAnimalsChromatinDisease Models, AnimalEpigenesis, GeneticFaceFemaleGenetic TechniquesGenetic VariationHematologic DiseasesMicePhenotypeRubinstein-Taybi SyndromeTranscriptomeVestibular DiseasesChromatinchromatincomputational biologycomputational methodsepigeneticsgeneticsgenomicshistone machineryIgA deficiencyMendelianmousesystems biology

Identifiers

PMID34463256
PMCPMC8443249
OpenAlexW3197855566

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.