Exploring the Genetic Causality of Discordant Phenotypes in Familial Apparently Balanced Translocation Cases Using Whole Exome Sequencing

Genes (Basel). 2022 Dec 27;14(1):82. doi: 10.3390/genes14010082.

Abstract

Familial apparently balanced translocations (ABTs) are usually not associated with a phenotype; however, rarely, ABTs segregate with discordant phenotypes in family members carrying identical rearrangements. The current study was a follow-up investigation of four familial ABTs, where whole exome sequencing (WES) was implemented as a diagnostic tool to identify the underlying genetic aetiology of the patients' phenotypes. Data were analysed using an in-house bioinformatics pipeline alongside VarSome Clinical. WES findings were validated with Sanger sequencing, while the impact of splicing and missense variants was assessed by reverse-transcription PCR and in silico tools, respectively. Novel candidate variants were identified in three families. In family 1, it was shown that the de novo pathogenic STXBP1 variant (NM_003165.6:c.1110+2T>G) affected splicing and segregated with the patient's phenotype. In family 2, a likely pathogenic TUBA1A variant (NM_006009.4:c.875C>T, NP_006000.2:p.(Thr292Ile)) could explain the patient's symptoms. In family 3, an SCN1A variant of uncertain significance (NM_006920.6:c.5060A>G, NP_008851.3:p.(Glu1687Gly)) required additional evidence to sufficiently support causality. This first report of WES application in familial ABT carriers with discordant phenotypes supported our previous findings describing such rearrangements as coincidental. Thus, WES can be recommended as a complementary test to find the monogenic cause of aberrant phenotypes in familial ABT carriers.

Keywords: RT-PCR; SCN1A; STXBP1; TUBA1A; familial apparently balanced translocations; whole exome sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Exome Sequencing
  • Humans
  • Mutation, Missense*
  • Pedigree
  • Phenotype
  • Translocation, Genetic*

Grants and funding

This research was funded by Telethon Cyprus and Norway Grants through the Directorate General for European Programmes, Coordination and Development of the Republic of Cyprus. WES data analysis was supported by the Cy-Tera Project (ΝΕA ΥΠOΔOΜH/ΣΤΡAΤH/0308/31), which is co-funded by the European Regional Development Fund and the Republic of Cyprus through the Cyprus Research and Innovation Foundation.