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Comprehensive genetic analysis confers high diagnostic yield in 16 Japanese patients with corpus callosum anomalies.

Authors :
Miyamoto S
Kato M
Hiraide T
Shiohama T
Goto T
Hojo A
Ebata A
Suzuki M
Kobayashi K
Chong PF
Kira R
Matsushita HB
Ikeda H
Hoshino K
Matsufuji M
Moriyama N
Furuyama M
Yamamoto T
Nakashima M
Saitsu H
Source :
Journal of human genetics [J Hum Genet] 2021 Nov; Vol. 66 (11), pp. 1061-1068. Date of Electronic Publication: 2021 May 06.
Publication Year :
2021

Abstract

Corpus callosum anomalies (CCA) is a common congenital brain anomaly with various etiologies. Although one of the most important etiologies is genetic factors, the genetic background of CCA is heterogenous and diverse types of variants are likely to be causative. In this study, we analyzed 16 Japanese patients with corpus callosum anomalies to delineate clinical features and the genetic background of CCAs. We observed the common phenotypes accompanied by CCAs: intellectual disability (100%), motor developmental delay (93.8%), seizures (60%), and facial dysmorphisms (50%). Brain magnetic resonance imaging showed colpocephaly (enlarged posterior horn of the lateral ventricles, 84.6%) and enlarged supracerebellar cistern (41.7%). Whole exome sequencing revealed genetic alterations in 9 of the 16 patients (56.3%), including 8 de novo alterations (2 copy number variants and variants in ARID1B, CDK8, HIVEP2, and TCF4) and a recessive variant of TBCK. De novo ARID1B variants were identified in three unrelated individuals, suggesting that ARID1B variants are major genetic causes of CCAs. A de novo TCF4 variant and somatic mosaic deletion at 18q21.31-qter encompassing TCF4 suggest an association of TCF4 abnormalities with CCAs. This study, which analyzes CCA patients usung whole exome sequencing, demonstrates that comprehensive genetic analysis would be useful for investigating various causal variants of CCAs.<br /> (© 2021. The Author(s), under exclusive licence to The Japan Society of Human Genetics.)

Details

Language :
English
ISSN :
1435-232X
Volume :
66
Issue :
11
Database :
MEDLINE
Journal :
Journal of human genetics
Publication Type :
Academic Journal
Accession number :
33958710
Full Text :
https://doi.org/10.1038/s10038-021-00932-y