Evidence map›Paper›PMID 30858344›Full record

ArticleGenome research2019

Coexpression patterns define epigenetic regulators associated with neurological dysfunction.

Leandros Boukas, James M Havrilla, Peter F Hickey, Aaron R Quinlan, Hans T Bjornsson, Kasper D Hansen

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  6. Transcriptomic Convergence and the Female Protective Effect in Autism.bioRxiv : the preprint server for biology · 2025
    Article
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  11. Fine-mapping causal tissues and genes at disease-associated loci.medRxiv : the preprint server for health sciences · 2024
    Article
  12. Review
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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

6 authors at 4 institutions in 3 countries.

Leandros BoukasHuman Genetics Training Program, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.
James M HavrillaDepartment of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA.
Peter F HickeyMolecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia.ORCID 0000-0002-8153-6258
Aaron R QuinlanDepartment of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA.ORCID 0000-0003-1756-0859
Hans T BjornssonMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.ORCID 0000-0001-6635-6753
Kasper D HansenMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.ORCID 0000-0003-0086-0687
Johns Hopkins University · USUniversity of Utah · USReykjavík University · ISThe University of Melbourne · AU

Funding

New algorithms and tools for large-scale genomic analysesR01HG006693 · NHGRI · UNIVERSITY OF VIRGINIA · PI QUINLAN, AARON R · 2012 to 2018
$3.1M
A powerful web-based discovery platform for rare disease geneticsR01HG009141 · NHGRI · BROAD INSTITUTE, INC. · PI QUINLAN, AARON R, REHM, HEIDI L · 2017 to 2020
$2.9M
Analysis of genomics datasets at a massive scaleR01GM121459 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HANSEN, KASPER DANIEL · 2017 to 2021
$2.3M
Exploring Kabuki Syndrome as a Treatable Cause of Intellectual DisabilityDP5OD017877 · OD · JOHNS HOPKINS UNIVERSITY · PI BJORNSSON, HANS TOMAS · 2013 to 2017
$2.0M
Software for exploring all forms of genetic variation in any speciesR01GM124355 · NIGMS · UNIVERSITY OF UTAH · PI QUINLAN, AARON R · 2017 to 2020
$1.8M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NHGRI NIH HHS R01 HG006693NHGRI NIH HHS R01 HG009141NIGMS NIH HHS R01 GM121459NIGMS NIH HHS R01 GM124355NIH HHS DP5 OD017877NIH HHS S10 OD020069Wellcome Trust
6 · The paper itself

Abstract

Coding variants in epigenetic regulators are emerging as causes of neurological dysfunction and cancer. However, a comprehensive effort to identify disease candidates within the human epigenetic machinery (EM) has not been performed; it is unclear whether features exist that distinguish between variation-intolerant and variation-tolerant EM genes, and between EM genes associated with neurological dysfunction versus cancer. Here, we rigorously define 295 genes with a direct role in epigenetic regulation (writers, erasers, remodelers, readers). Systematic exploration of these genes reveals that although individual enzymatic functions are always mutually exclusive, readers often also exhibit enzymatic activity (dual-function EM genes). We find that the majority of EM genes are very intolerant to loss-of-function variation, even when compared to the dosage sensitive transcription factors, and we identify 102 novel EM disease candidates. We show that this variation intolerance is driven by the protein domains encoding the epigenetic function, suggesting that disease is caused by a perturbed chromatin state. We then describe a large subset of EM genes that are coexpressed within multiple tissues. This subset is almost exclusively populated by extremely variation-intolerant genes and shows enrichment for dual-function EM genes. It is also highly enriched for genes associated with neurological dysfunction, even when accounting for dosage sensitivity, but not for cancer-associated EM genes. Finally, we show that regulatory regions near epigenetic regulators are genetically important for common neurological traits. These findings prioritize novel disease candidate EM genes and suggest that this coexpression plays a functional role in normal neurological homeostasis.

Indexed as

Epigenesis, GeneticPolymorphism, GeneticChromatin Assembly and DisassemblyHumansLoss of Function MutationNervous System DiseasesTranscription FactorsTranscription Factors

Identifiers

PMID30858344
PMCPMC6442390
OpenAlexW2951604964

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.