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Unpredicted Aberrant Splicing Products Identified in Postmortem Sudden Cardiac Death Samples.

Monica CollAnna Fernandez-FalguerasAnna IglesiasBernat Del OlmoLaia Nogue-NavarroAdria SimonAlexandra Perez SerraMarta PuigmuleLaura LopezFerran PicoMonica CoronaMarta Vallverdu-PratsColoma TironÒscar CampuzanoJosep CastellaRamon BrugadaMireia Alcalde
Published in: International journal of molecular sciences (2022)
Molecular screening for pathogenic mutations in sudden cardiac death (SCD)-related genes is common practice for SCD cases. However, test results may lead to uncertainty because of the identification of variants of unknown significance (VUS) occurring in up to 70% of total identified variants due to a lack of experimental studies. Genetic variants affecting potential splice site variants are among the most difficult to interpret. The aim of this study was to examine rare intronic variants identified in the exonic flanking sequence to meet two main objectives: first, to validate that canonical intronic variants produce aberrant splicing; second, to determine whether rare intronic variants predicted as VUS may affect the splicing product. To achieve these objectives, 28 heart samples of cases of SCD carrying rare intronic variants were studied. Samples were analyzed using 85 SCD genes in custom panel sequencing. Our results showed that rare intronic variants affecting the most canonical splice sites displayed in 100% of cases that they would affect the splicing product, possibly causing aberrant isoforms. However, 25% of these cases (1/4) showed normal splicing, contradicting the in silico results. On the contrary, in silico results predicted an effect in 0% of cases, and experimental results showed >20% (3/14) unpredicted aberrant splicing. Thus, deep intron variants are likely predicted to not have an effect, which, based on our results, might be an underestimation of their effect and, therefore, of their pathogenicity classification and family members' follow-up.
Keyphrases
  • copy number
  • healthcare
  • heart failure
  • molecular docking
  • escherichia coli
  • staphylococcus aureus
  • gene expression
  • dna methylation
  • cystic fibrosis
  • single molecule
  • candida albicans
  • human health
  • bioinformatics analysis