TY - JOUR
T1 - Diagnostic utility of exome sequencing followed by research reanalysis in human brain malformations
AU - Kooshavar, Daniz
AU - Amor, David J.
AU - Boggs, Kirsten
AU - Baker, Naomi
AU - Barnett, Christopher
AU - de Silva, Michelle G.
AU - Edwards, Samantha
AU - Fahey, Michael C.
AU - Marum, Justine E.
AU - Snell, Penny
AU - Bozaoglu, Kiymet
AU - Pope, Kate
AU - Mohammad, Shekeeb S.
AU - Riney, Kate
AU - Sachdev, Rani
AU - Scheffer, Ingrid E.
AU - Schenscher, Sarah
AU - Silberstein, John
AU - Smith, Nicholas
AU - Tom, Melanie
AU - Ware, Tyson L.
AU - Lockhart, Paul J.
AU - Leventer, Richard J.
N1 - Funding Information:
The authors would like to thank all the participants of the Australian Genomics Brain Malformation Flagship and their families. We appreciate the coordination team of Australian Genomics including state genetic counsellors and project managers for data collection and support. The research conducted at the Murdoch Children’s Research Institute was supported by the Victorian Government's Operational Infrastructure Support Program.
Funding Information:
The study as part of ‘Australian Genomic Health Alliance: Preparing Australia for Genomic Medicine’ project was funded by a National Health and Medical Research Council (NHMRC) Targeted Call for research grant (GNT1113531). This work was also supported by grants from the National Health and Medical Research Council (GNT1128933 and GNT1161549) to P.J.L. and R.J.L. R.J.L. was supported by a Melbourne Children’s Clinician Scientist Fellowship, and P.J.L. was supported by the Vincent Chiodo Foundation.
Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.
PY - 2024
Y1 - 2024
N2 - This study aimed to determine the diagnostic yield of singleton exome sequencing and subsequent research-based trio exome analysis in children with a spectrum of brain malformations seen commonly in clinical practice. We recruited children ≤ 18 years old with a brain malformation diagnosed by magnetic resonance imaging and consistent with an established list of known genetic causes. Patients were ascertained nationally from eight tertiary paediatric centres as part of the Australian Genomics Brain Malformation Flagship. Chromosome microarray was required for all children, and those with pathogenic copy number changes were excluded. Cytomegalovirus polymerase chain reaction on neonatal blood spots was performed on all children with polymicrogyria with positive patients excluded. Singleton exome sequencing was performed through a diagnostic laboratory and analysed using a clinical exome sequencing pipeline. Undiagnosed patients were followed up in a research setting, including reanalysis of the singleton exome data and subsequent trio exome sequencing. A total of 102 children were recruited. Ten malformation subtypes were identified with the commonest being polymicrogyria (36%), pontocerebellar hypoplasia (14%), periventricular nodular heterotopia (11%), tubulinopathy (10%), lissencephaly (10%) and cortical dysplasia (9%). The overall diagnostic yield for the clinical singleton exome sequencing was 36%, which increased to 43% after research follow-up. The main source of increased diagnostic yield was the reanalysis of the singleton exome data to include newly discovered gene–disease associations. One additional diagnosis was made by trio exome sequencing. The highest phenotype-based diagnostic yields were for cobblestone malformation, tubulinopathy and lissencephaly and the lowest for cortical dysplasia and polymicrogyria. Pathogenic variants were identified in 32 genes, with variants in 6/32 genes occurring in more than one patient. The most frequent genetic diagnosis was pathogenic variants in TUBA1A. This study shows that over 40% of patients with common brain malformations have a genetic aetiology identified by exome sequencing. Periodic reanalysis of exome data to include newly identified genes was of greater value in increasing diagnostic yield than the expansion to trio exome. This study highlights the genetic and phenotypic heterogeneity of brain malformations, the importance of a multidisciplinary approach to diagnosis and the large number of patients that remain without a genetic diagnosis despite clinical exome sequencing and research reanalysis.
AB - This study aimed to determine the diagnostic yield of singleton exome sequencing and subsequent research-based trio exome analysis in children with a spectrum of brain malformations seen commonly in clinical practice. We recruited children ≤ 18 years old with a brain malformation diagnosed by magnetic resonance imaging and consistent with an established list of known genetic causes. Patients were ascertained nationally from eight tertiary paediatric centres as part of the Australian Genomics Brain Malformation Flagship. Chromosome microarray was required for all children, and those with pathogenic copy number changes were excluded. Cytomegalovirus polymerase chain reaction on neonatal blood spots was performed on all children with polymicrogyria with positive patients excluded. Singleton exome sequencing was performed through a diagnostic laboratory and analysed using a clinical exome sequencing pipeline. Undiagnosed patients were followed up in a research setting, including reanalysis of the singleton exome data and subsequent trio exome sequencing. A total of 102 children were recruited. Ten malformation subtypes were identified with the commonest being polymicrogyria (36%), pontocerebellar hypoplasia (14%), periventricular nodular heterotopia (11%), tubulinopathy (10%), lissencephaly (10%) and cortical dysplasia (9%). The overall diagnostic yield for the clinical singleton exome sequencing was 36%, which increased to 43% after research follow-up. The main source of increased diagnostic yield was the reanalysis of the singleton exome data to include newly discovered gene–disease associations. One additional diagnosis was made by trio exome sequencing. The highest phenotype-based diagnostic yields were for cobblestone malformation, tubulinopathy and lissencephaly and the lowest for cortical dysplasia and polymicrogyria. Pathogenic variants were identified in 32 genes, with variants in 6/32 genes occurring in more than one patient. The most frequent genetic diagnosis was pathogenic variants in TUBA1A. This study shows that over 40% of patients with common brain malformations have a genetic aetiology identified by exome sequencing. Periodic reanalysis of exome data to include newly identified genes was of greater value in increasing diagnostic yield than the expansion to trio exome. This study highlights the genetic and phenotypic heterogeneity of brain malformations, the importance of a multidisciplinary approach to diagnosis and the large number of patients that remain without a genetic diagnosis despite clinical exome sequencing and research reanalysis.
KW - brain malformations
KW - exome sequencing
KW - genomics
UR - https://www.scopus.com/pages/publications/85186973408
U2 - 10.1093/braincomms/fcae056
DO - 10.1093/braincomms/fcae056
M3 - Article
C2 - 38444904
AN - SCOPUS:85186973408
SN - 2632-1297
VL - 6
JO - Brain Communications
JF - Brain Communications
IS - 2
M1 - fcae056
ER -