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Systematic re-annotation of 191 genes associated with early-onset epilepsy unmasks de novo variants linked to Dravet syndrome in novel SCN1A exons

Authors :
Stephen Abbs
Caroline Nava
Sanjay M. Sisodiya
Jyoti S. Choudhary
Dimitrios Vitsios
Dmitri D. Pervouchine
Electra Tapanari
Fadi F. Hamdan
Hannah Stamberger
Berten Ceulemans
Detelina Grozeva
Jennifer Harrow
Patricia Leroy
Marie Marthe Suner
Charles A. Steward
Gianpiero L. Cavalleri
Margarida Viola
Anne Fabienne Lepine
José M. González
Mark Diekhans
Barbara Uszczynska-Ratajczak
Paul Flicek
Nicholas Lench
F. Lucy Raymond
Adam Frankish
Robert Petryszak
Stephen Fitzgerald
Sarah Weckhuysen
Alba Sanchis-Juan
James C. Wright
Peter De Jonghe
Roderic Guigó
Anthony Rogers
Slavé Petrovski
Don Keiller
Jonathan M. Mudge
Jolien Roovers
Berge A. Minassian
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

The early infantile epileptic encephalopathies (EIEE) 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 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 novel putative transcript models. The extended transcriptional footprint of these genes allowed for 294 intronic or intergenic variants, found in human mutation databases, to be reclassified as exonic, while a further 70 intronic variants were reclassified as splice-site proximal. 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 novel exon sequences representing eight established genes and identified two de novo SCN1A variants that now, through improved gene annotation can be ascribed to residing among novel exons. These two (from 122 screened patients, 1.6%) new molecular diagnoses carry significant clinical implications. Furthermore, we identified a previously-classified SCN1A intronic Dravet-associated variant that now lies within a deeply conserved novel exon. Our findings illustrate the potential gains of thorough gene annotation in improving diagnostic yields for genetic disorders. We would expect to find new molecular diagnoses in our 191 genes that were originally suspected by clinicians for patients, with a negative diagnosis.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....b19da24628aeae9fad19e53f09c9ec01
Full Text :
https://doi.org/10.1101/648576