Detection of PTCH1 Copy-Number Variants in Mosaic Basal Cell Nevus Syndrome.
Guido M J M RoemenTom E J TheunissenWard W J HoezenAnja R M SteylsAimée D C PaulussenKlara MosterdElisa RahikkalaAxel Zur HausenErnst-Jan Maria SpeelMichel van GeelPublished in: Biomedicines (2024)
Basal cell nevus syndrome (BCNS) is an inherited disorder characterized mainly by the development of basal cell carcinomas (BCCs) at an early age. BCNS is caused by heterozygous small-nucleotide variants (SNVs) and copy-number variants (CNVs) in the Patched1 ( PTCH1 ) gene. Genetic diagnosis may be complicated in mosaic BCNS patients, as accurate SNV and CNV analysis requires high-sensitivity methods due to possible low variant allele frequencies. We compared test outcomes for PTCH1 CNV detection using multiplex ligation-probe amplification (MLPA) and digital droplet PCR (ddPCR) with samples from a BCNS patient heterozygous for a PTCH1 CNV duplication and the patient's father, suspected to have a mosaic form of BCNS. ddPCR detected a significantly increased PTCH1 copy-number ratio in the index patient's blood, and the father's blood and tissues, indicating that the father was postzygotic mosaic and the index patient inherited the CNV from him. MLPA only detected the PTCH1 duplication in the index patient's blood and in hair and saliva from the mosaic father. Our data indicate that ddPCR more accurately detects CNVs, even in low-grade mosaic BCNS patients, which may be missed by MLPA. In general, quantitative ddPCR can be of added value in the genetic diagnosis of mosaic BCNS patients and in estimating the recurrence risk for offspring.
Keyphrases
- copy number
- mitochondrial dna
- genome wide
- case report
- end stage renal disease
- ejection fraction
- low grade
- newly diagnosed
- dna methylation
- single cell
- chronic kidney disease
- prognostic factors
- gene expression
- stem cells
- early onset
- high resolution
- machine learning
- mesenchymal stem cells
- real time pcr
- patient reported outcomes
- single molecule
- bone marrow
- electronic health record
- skeletal muscle
- loop mediated isothermal amplification
- adipose tissue
- transcription factor
- data analysis
- big data