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Leveraging multiple approaches for detection of pathogenic deep intronic variants in developmental and epileptic encephalopathies: a case report. |
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de Valles-Ibáñez, Guillem |
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#PLACEHOLDER_PARENT_METADATA_VALUE# |
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#PLACEHOLDER_PARENT_METADATA_VALUE# |
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#PLACEHOLDER_PARENT_METADATA_VALUE# |
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#PLACEHOLDER_PARENT_METADATA_VALUE# |
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#PLACEHOLDER_PARENT_METADATA_VALUE# |
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| Abstract |
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50% of individuals with developmental and epileptic encephalopathies (DEEs) are unsolved following genetic testing. Deep intronic variants, defined as >100 bp from exon-intron junctions, contribute to disease by affecting the splicing of mRNAs in clinically relevant genes. Identifying deep intronic pathogenic variants is challenging and resource intensive, and interpretation is difficult due to limited functional annotations. We aimed to identify deep intronic variants in individuals suspected to have unsolved single gene DEEs. In a research cohort of unsolved cases of DEEs, we searched for children with a DEE syndrome predominantly caused by variants in specific genes in >80% of described cases. We identified two children with Dravet Syndrome and one individual with classic lissencephaly. Multiple sequencing and bioinformatics strategies were employed to interrogate intronic regions in SCN1A and PAFAH1B1. A novel de novo deep intronic 12kb deletion in PAFAH1B1 was identified in the individual with lissencephaly. We showed experimentally that the deletion disrupts mRNA splicing, which results in partial intron retention after exon 2 and disruption of the highly conserved LisH motif. We demonstrate that targeted interrogation of deep intronic regions using multiple genomics technologies, coupled with functional analysis, can reveal hidden causes of unsolved monogenic DEE syndromes. |
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Epilepsia Open 2023-12-21 |
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