4.5 Article

Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach

Journal

HUMAN MUTATION
Volume 43, Issue 12, Pages 1921-1944

Publisher

WILEY-HINDAWI
DOI: 10.1002/humu.24449

Keywords

ACMG; AMP classification; BRCA2; dPCR; functional analysis; quantitation; splicing

Funding

  1. Italian Ministry of Health
  2. Den Norske Kreftforening
  3. Spanish Health Research Foundation [INT15/00070, INT16/00154, INT17/00133, INT20/000]
  4. NIHR Research Professorship [RP-2016-07-011]
  5. Ministry of Health of the Czech Republic MH CZ - DRO [00209805, NU20-03-00285]
  6. Federal Ministry of Education and Research [01GY1901]
  7. Government of Catalonia [2017SGR1282, 2017SGR496]
  8. CERCA Program/Generalitat de Catalunya [PI19/00553, PI16/00563, SAF2015-68016-R]
  9. Carlos III National Health Institute [PI19/00553, PI16/00563, SAF2015-68016-R]
  10. CIBERO
  11. German Cancer Aid [110837, 70114178]
  12. Autonomous Government of Galicia [IN607B]
  13. Dutch Cancer Society KWF [UL2012-5649, Pink Ribbon-11704]
  14. NHMRC [APP177524, APP1104808]
  15. Centro de Investigacion Biomedica en Red de Enfermedades Raras CIBERER [ACCI 2016: ER17P1AC7112/2018]
  16. Spanish Instituto de Salud Carlos III (ISCIII) [PI 20/00110]
  17. Fundacion Mutua Madrilena

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Skipping of BRCA2 exon 3 is a naturally occurring splicing event that complicates the clinical classification of related variants. This study used multiple evidence types to assess the pathogenicity of these variants and identified six loss-of-function mutations. The study also highlights the value of using a points-based approach for variant classification and the importance of considering cryptic splice site usage.
Skipping of BRCA2 exon 3 ( increment E3) is a naturally occurring splicing event, complicating clinical classification of variants that may alter increment E3 expression. This study used multiple evidence types to assess pathogenicity of 85 variants in/near BRCA2 exon 3. Bioinformatically predicted spliceogenic variants underwent mRNA splicing analysis using minigenes and/or patient samples. increment E3 was measured using quantitative analysis. A mouse embryonic stem cell (mESC) based assay was used to determine the impact of 18 variants on mRNA splicing and protein function. For each variant, population frequency, bioinformatic predictions, clinical data, and existing mRNA splicing and functional results were collated. Variant class was assigned using a gene-specific adaptation of ACMG/AMP guidelines, following a recently proposed points-based system. mRNA and mESC analysis combined identified six variants with transcript and/or functional profiles interpreted as loss of function. Cryptic splice site use for acceptor site variants generated a transcript encoding a shorter protein that retains activity. Overall, 69/85 (81%) variants were classified using the points-based approach. Our analysis shows the value of applying gene-specific ACMG/AMP guidelines using a points-based approach and highlights the consideration of cryptic splice site usage to appropriately assign PVS1 code strength.

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