| Literature DB >> 36117209 |
Antony Kaspi1,2, Angela T Morgan3,4,5,6, Michael S Hildebrand2,7, Victoria E Jackson1,2, Ruth Braden7, Olivia van Reyk7, Tegan Howell7, Simone Debono7, Mariana Lauretta7, Lottie Morison7, Matthew J Coleman2,7, Richard Webster8, David Coman9,10, Himanshu Goel11, Mathew Wallis12,13, Gabriel Dabscheck2,14, Lilian Downie2,14, Emma K Baker2,7, Bronwyn Parry-Fielder14, Kirrie Ballard15, Eva Harrold7, Shaun Ziegenfusz16, Mark F Bennett1,2, Erandee Robertson1,2, Longfei Wang1,2, Amber Boys17, Simon E Fisher18,19, David J Amor2,7,14, Ingrid E Scheffer2, Melanie Bahlo1,2.
Abstract
Childhood apraxia of speech (CAS), the prototypic severe childhood speech disorder, is characterized by motor programming and planning deficits. Genetic factors make substantive contributions to CAS aetiology, with a monogenic pathogenic variant identified in a third of cases, implicating around 20 single genes to date. Here we aimed to identify molecular causation in 70 unrelated probands ascertained with CAS. We performed trio genome sequencing. Our bioinformatic analysis examined single nucleotide, indel, copy number, structural and short tandem repeat variants. We prioritised appropriate variants arising de novo or inherited that were expected to be damaging based on in silico predictions. We identified high confidence variants in 18/70 (26%) probands, almost doubling the current number of candidate genes for CAS. Three of the 18 variants affected SETBP1, SETD1A and DDX3X, thus confirming their roles in CAS, while the remaining 15 occurred in genes not previously associated with this disorder. Fifteen variants arose de novo and three were inherited. We provide further novel insights into the biology of child speech disorder, highlighting the roles of chromatin organization and gene regulation in CAS, and confirm that genes involved in CAS are co-expressed during brain development. Our findings confirm a diagnostic yield comparable to, or even higher, than other neurodevelopmental disorders with substantial de novo variant burden. Data also support the increasingly recognised overlaps between genes conferring risk for a range of neurodevelopmental disorders. Understanding the aetiological basis of CAS is critical to end the diagnostic odyssey and ensure affected individuals are poised for precision medicine trials.Entities:
Year: 2022 PMID: 36117209 DOI: 10.1038/s41380-022-01764-8
Source DB: PubMed Journal: Mol Psychiatry ISSN: 1359-4184 Impact factor: 13.437