Steward, Charles A., Roovers, Jolien, Suner, Marie-Marthe, Gonzalez, Jose M., Uszczynska-Ratajczak, Barbara, Pervouchine, Dmitri, Fitzgerald, Stephen, Viola, Margarida, Stamberger, Hannah, Hamdan, Fadi F., Ceulemans, Berten, Leroy, Patricia, Nava, Caroline, Lepine, Anne, Tapanari, Electra, Keiller, Don, Abbs, Stephen, Sanchis-Juan, Alba, Grozeva, Detelina ![]() ![]() |
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Abstract
The developmental and epileptic encephalopathies (DEE) are a group of rare, severe neurodevelopmental disorders, where even the most thorough sequencing studies leave 60–65% of patients without a molecular diagnosis. Here, we explore the incompleteness of transcript models used for exome and genome analysis as one potential explanation for a lack of current diagnoses. Therefore, we have updated the GENCODE gene annotation for 191 epilepsy-associated genes, using human brain-derived transcriptomic libraries and other data to build 3,550 putative transcript models. Our annotations increase the transcriptional ‘footprint’ of these genes by over 674 kb. Using SCN1A as a case study, due to its close phenotype/genotype correlation with Dravet syndrome, we screened 122 people with Dravet syndrome or a similar phenotype with a panel of exon sequences representing eight established genes and identified two de novo SCN1A variants that now - through improved gene annotation - are ascribed to residing among our exons. These two (from 122 screened people, 1.6%) molecular diagnoses carry significant clinical implications. Furthermore, we identified a previously classified SCN1A intronic Dravet syndrome-associated variant that now lies within a deeply conserved exon. Our findings illustrate the potential gains of thorough gene annotation in improving diagnostic yields for genetic disorders.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine Centre for Trials Research (CNTRR) |
Publisher: | Nature Research |
ISSN: | 2056-7944 |
Date of First Compliant Deposit: | 6 April 2021 |
Date of Acceptance: | 1 November 2019 |
Last Modified: | 04 May 2023 00:11 |
URI: | https://orca.cardiff.ac.uk/id/eprint/140288 |
Citation Data
Cited 15 times in Scopus. View in Scopus. Powered By Scopus® Data
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