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Empirical prediction of variant-activated cryptic splice donors using population-based RNA-Seq data

Abstract:

Background The diagnostic rate in Mendelian disorders continues to hover around 50% after genomic testing, meaning that around half of families and clinicians are left with no actionable answer. Variants affecting splicing motifs are particularly challenging to interpret. To conclusively link a splicing variant to disease it’s necessary to determine the consequences of altered splicing on the final mRNA transcript and subsequent protein. Consequently, most probable splicing variants are clas...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2135-0117
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Role:
Author
ORCID:
0000-0003-1510-8826
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Role:
Author
ORCID:
0000-0002-7314-5097



Publisher:
Nature Research
Journal:
Nature Communications More from this journal
Volume:
13
Issue:
1
Pages:
1655-1655
Article number:
1655
Publication date:
2022-03-29
DOI:
EISSN:
2041-1723
ISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
1618890
Local pid:
pubs:1618890
Source identifiers:
W4221068611
Deposit date:
2026-06-05
ARK identifier:
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