MTSplice predicts effects of genetic variants on tissue-specific splicing.
Genome Biol. 22:94 (2021)
We develop the free and open-source model Multi-tissue Splicing (MTSplice) to predict the effects of genetic variants on splicing of cassette exons in 56 human tissues. MTSplice combines MMSplice, which models constitutive regulatory sequences, with a new neural network that models tissue-specific regulatory sequences. MTSplice outperforms MMSplice on predicting tissue-specific variations associated with genetic variants in most tissues of the GTEx dataset, with largest improvements on brain tissues. Furthermore, MTSplice predicts that autism-associated de novo mutations are enriched for variants affecting splicing specifically in the brain. We foresee that MTSplice will aid interpreting variants associated with tissue-specific disorders.
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Article: Journal article
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Scientific Article
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Language
english
Publication Year
2021
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2021
ISSN (print) / ISBN
1474-760X
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1465-6906
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Volume: 22,
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Article Number: 94
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BioMed Central
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Campus, 4 Crinan St, London N1 9xw, England
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Peer reviewed
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
Grants
NIH HHS
Scientific High Performance Computing in Bavaria KONWIHR
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Erfassungsdatum
2021-04-22