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Fulltext PLPBP mutations cause variable phenotypes of developmental and epileptic encephalopathy

Shiraku H, Nakashima M, Takeshita S, Khoo CS, Haniffa M, Ch'ng GS, et al.

Epilepsia Open, 2018 Dec;3(4):495-502.
PMID: 30525118 DOI: 10.1002/epi4.12272

Objective: Vitamin B6-dependent epilepsies are treatable disorders caused by variants in several genes, such as ALDH7A1,PNPO, and others. Recently, biallelic variants in PLPBP, formerly known as PROSC, were identified as a novel cause of vitamin B6-dependent epilepsies. Our objective was to further delineate the phenotype of PLPBP mutation.
Methods: We identified 4 unrelated patients harboring a total of 4 variants in PLPBP, including 3 novel variants, in a cohort of 700 patients with developmental and epileptic encephalopathies. Clinical information in each case was collected.
Results: Each patient had a different clinical course of epilepsy, with seizure onset from the first day of life to 3 months of age. Generalized tonic-clonic seizures were commonly noted. Myoclonic seizures or focal seizures were also observed in 2 patients. Interictal electroencephalography showed variable findings, such as suppression burst, focal or multifocal discharges, and diffuse slow activity. Unlike previous reports, all the patients had some degree of intellectual disability, although some of them had received early treatment with vitamin B6, suggesting that different mutation types influence the severity and outcome of the seizures.
Significance: PLPBP variants should be regarded as among the causative genes of developmental and epileptic encephalopathy, even when it occurs after the neonatal period. Early diagnosis and proper treatment with pyridoxine or pyridoxal phosphate is essential to improve the neurologic prognosis in neonates or young children with poorly controlled seizures.
Efficient detection of copy-number variations using exome data: Batch- and sex-based analyses

Uchiyama Y, Yamaguchi D, Iwama K, Miyatake S, Hamanaka K, Tsuchida N, et al.

Hum Mutat, 2021 01;42(1):50-65.
PMID: 33131168 DOI: 10.1002/humu.24129

Many algorithms to detect copy number variations (CNVs) using exome sequencing (ES) data have been reported and evaluated on their sensitivity and specificity, reproducibility, and precision. However, operational optimization of such algorithms for a better performance has not been fully addressed. ES of 1199 samples including 763 patients with different disease profiles was performed. ES data were analyzed to detect CNVs by both the eXome Hidden Markov Model (XHMM) and modified Nord's method. To efficiently detect rare CNVs, we aimed to decrease sequencing biases by analyzing, at the same time, the data of all unrelated samples sequenced in the same flow cell as a batch, and to eliminate sex effects of X-linked CNVs by analyzing female and male sequences separately. We also applied several filtering steps for more efficient CNV selection. The average number of CNVs detected in one sample was <5. This optimization together with targeted CNV analysis by Nord's method identified pathogenic/likely pathogenic CNVs in 34 patients (4.5%, 34/763). In particular, among 142 patients with epilepsy, the current protocol detected clinically relevant CNVs in 19 (13.4%) patients, whereas the previous protocol identified them in only 14 (9.9%) patients. Thus, this batch-based XHMM analysis efficiently selected rare pathogenic CNVs in genetic diseases.

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