ArticleBMC genomics2020
A holistic view of mouse enhancer architectures reveals analogous pleiotropic effects and correlation with human disease.
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.
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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.
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Who cites it
3 citing papers in PubMed.
- The landscape of super-enhancer regulates remote target gene transcription through loop domains in adipose tissue of pig.Heliyon · 2024Article
- Characterization of transcriptional enhancers in the chicken genome using CRISPR-mediated activation.Frontiers in genome editing · 2023Article
- Modelling the genetic aetiology of complex disease: human-mouse conservation of noncoding features and disease-associated loci.Biology letters · 2022Article
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Authors and funding
9 authors.
Funding
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.
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