Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points‐based ACMG/AMP approach. Issue 12 (23rd October 2022)

• Record Type: Journal Article
• Authors: Thomassen, Mads; Mesman, Romy L. S.; Hansen, Thomas V. O.; Menendez, Mireia; Rossing, Maria; Esteban‐Sánchez, Ada; Tudini, Emma; Törngren, Therese; Parsons, Michael T.; Pedersen, Inge S.; Teo, Soo H.; Kruse, Torben A.; Møller, Pål; Borg, Åke; Jensen, Uffe B.; Christensen, Lise L.; Singer, Christian F.; Muhr, Daniela; Santamarina, Marta; Brandao, Rita; Andresen, Brage S.; Feng, Bing‐Jian; Canson, Daffodil; Richardson, Marcy E.; Karam, Rachid; Pesaran, Tina; LaDuca, Holly; Conner, Blair R.; Abualkheir, Nelly; Hoang, Lily; Calléja, Fabienne M. G. R.; Andrews, Lesley; James, Paul A.; Bunyan, Dave; Hamblett, Amanda; Radice, Paolo; Goldgar, David E.; Walker, Logan C.; Engel, Christoph; Claes, Kathleen B. M.; Macháčková, Eva; Baralle, Diana; Viel, Alessandra; Wappenschmidt, Barbara; Lazaro, Conxi; Vega, Ana; Vreeswijk, Maaike P. G.; de la Hoya, Miguel; Spurdle, Amanda B.;
• Is Part Of: Human mutation. Volume 43:Issue 12(2022)
• Page Start: 1921
• Page End: 1944
• Publication Date: 2022-10-23
• Subjects: ACMG/AMP classification -- BRCA2 -- dPCR -- functional analysis -- quantitation -- splicing; Human chromosome abnormalities -- Periodicals; Mutation (Biology) -- Periodicals; 616.04205
• DOI: 10.1002/humu.24449
• Languages: English
• ISSNs: 1059-7794

Abstract

Abstract: Skipping of BRCA2 exon 3 (∆E3) is a naturally occurring splicing event, complicating clinical classification of variants that may alter ∆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. ∆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.