Evidence map›Paper›PMID 33138777›Full record

ArticleBMC genomics2020

A holistic view of mouse enhancer architectures reveals analogous pleiotropic effects and correlation with human disease.

Siddharth Sethi, Ilya E Vorontsov, Ivan V Kulakovskiy, Simon Greenaway, John Williams, Vsevolod J Makeev, Steve D M Brown, Michelle M Simon, Ann-Marie Mallon

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Siddharth SethiMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK.
Ilya E VorontsovVavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina 3, Moscow, 119991, Russia.
Ivan V KulakovskiyVavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina 3, Moscow, 119991, Russia.
Simon GreenawayMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK.
John WilliamsMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK.
Vsevolod J MakeevVavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina 3, Moscow, 119991, Russia.
Steve D M BrownMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK.
Michelle M SimonMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK. m.simon@har.mrc.ac.uk.
Ann-Marie MallonMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK. a.mallon@har.mrc.ac.uk.

Funding

Mouse Phenotyping Informatics Infrastructure - MP12UM1HG006370 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Pilar Cacheiro Martinez, Helen Elizabeth Parkinson · 2016 to 2026
$20.4M
Medical Research Council MC_U142684171Medical Research Council MC_U142684172
6 · The paper itself

Abstract

backgroundEfforts to elucidate the function of enhancers in vivo are underway but their vast numbers alongside differing enhancer architectures make it difficult to determine their impact on gene activity. By systematically annotating multiple mouse tissues with super- and typical-enhancers, we have explored their relationship with gene function and phenotype.

resultsThough super-enhancers drive high total- and tissue-specific expression of their associated genes, we find that typical-enhancers also contribute heavily to the tissue-specific expression landscape on account of their large numbers in the genome. Unexpectedly, we demonstrate that both enhancer types are preferentially associated with relevant 'tissue-type' phenotypes and exhibit no difference in phenotype effect size or pleiotropy. Modelling regulatory data alongside molecular data, we built a predictive model to infer gene-phenotype associations and use this model to predict potentially novel disease-associated genes.

conclusionOverall our findings reveal that differing enhancer architectures have a similar impact on mammalian phenotypes whilst harbouring differing cellular and expression effects. Together, our results systematically characterise enhancers with predicted phenotypic traits endorsing the role for both types of enhancers in human disease and disorders.

Indexed as

Enhancer Elements, GeneticAnimalsHumansMicePhenotypeExpressionGene-phenotype predictionPhenotypesProtein-protein interactionsSuper-enhancersTissue-specificityTranscription factorsTypical-enhancers

Identifiers

PMID33138777
PMCPMC7607678

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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.