Screening of potential novel candidate genes in schwannomatosis patients.
Cristina Perez-BecerrilAndrew J WallaceHelene SchlechtNaomi L BowersPhilip T SmithCarolyn GokhaleHelen EatonChris CharltonRachel RobinsonRuth S CharltonD Gareth EvansMiriam Jane SmithPublished in: Human mutation (2022)
Schwannomatosis comprises a group of hereditary tumor predisposition syndromes characterized by, usually benign, multiple nerve sheath tumors, which frequently cause severe pain that does not typically respond to drug treatments. The most common schwannomatosis-associated gene is NF2, but SMARCB1 and LZTR1 are also associated. There are still many cases in which no pathogenic variants (PVs) have been identified, suggesting the existence of as yet unidentified genetic risk factors. In this study, we performed extended genetic screening of 75 unrelated schwannomatosis patients without identified germline PVs in NF2, LZTR1, or SMARCB1. Screening of the coding region of DGCR8, COQ6, CDKN2A, and CDKN2B was carried out, based on previous reports that point to these genes as potential candidate genes for schwannomatosis. Deletions or duplications in CDKN2A, CDKN2B, and adjacent chromosome 9 region were assessed by multiplex ligation-dependent probe amplification analysis. Sequencing analysis of a patient with multiple schwannomas and melanomas identified a novel duplication in the coding region of CDKN2A, disrupting both p14ARF and p16INK4a. Our results suggest that none of these genes are major contributors to schwannomatosis risk but the possibility remains that they may have a role in more complex mechanisms for tumor predisposition.
Keyphrases
- end stage renal disease
- genome wide
- copy number
- ejection fraction
- chronic kidney disease
- risk factors
- newly diagnosed
- signaling pathway
- prognostic factors
- peritoneal dialysis
- oxidative stress
- chronic pain
- risk assessment
- patient reported outcomes
- emergency department
- early onset
- quantum dots
- genome wide identification
- pain management
- dna damage
- dna repair
- climate change
- toll like receptor
- genome wide analysis
- electronic health record
- label free