Abstract
Aim
To investigate the occurrence of mosaicism in epilepsy probands and their parents using amplicon-based deep sequencing (ADS).
Methods
Patients were recruited from the outpatient of Peking University First Hospital. Two hundred and sixty-four probands with pathogenic variants tested by next-generation sequencing (NGS) were enrolled.
Results
Mosaic variants were detected in seventeen disease-associated genes from 20 probands, 5 paternal, and 6 maternal parents. The frequency of mosaicism was 11.74% (31/264). Mosaicism in 11 genes was identified from 20 probands with the mutant allelic fractions (MAFs) of 12.95–38.00% in autosomal dominant genes. Five paternal mosaicisms were identified in genes with a MAF of 6.30–20.99%, and six maternal mosaic individuals with a MAF of 2.07–21.90%. Only four mosaic parents had milder seizure history. The affected sibling had the same phenotype consistent with that of the proband, who inherited the variant of SLC1A2 or STXBP1 from their unaffected mosaic mothers, respectively.
Interpretation
Mosaic phenomenon is not rare in families with epilepsy. Phenotypes of mosaic parents were milder or normal. Mosaicism detection is helpful to identify the mutation origin and it provides a theoretical basis for prenatal diagnosis of family reproduction. ADS is a reliable way of mosaicism detection for clinical application.
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Acknowledgements
We thank the patients and their family members for taking part in this study. This study was supported by the Key Research Project of the Ministry of Science and Technology of China (Grant No. 2016YFC0904400 and 2016YFC0904401). We would like to thank Dr. Jiapeng Zhou and Dr. Xiaodong Wang for their assistance in editing the manuscript.
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This study was approved by the ethics committee of Peking University First Hospital and has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
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Chen, J., Chen, Y., Yang, Y. et al. Detecting genomic mosaicism in “de novo” genetic epilepsy by amplicon-based deep sequencing. J Hum Genet 68, 73–80 (2023). https://doi.org/10.1038/s10038-022-01103-3
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DOI: https://doi.org/10.1038/s10038-022-01103-3