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

Authors :
Thomassen M
Mesman RLS
Hansen TVO
Menendez M
Rossing M
Esteban-Sánchez A
Tudini E
Törngren T
Parsons MT
Pedersen IS
Teo SH
Kruse TA
Møller P
Borg Å
Jensen UB
Christensen LL
Singer CF
Muhr D
Santamarina M
Brandao R
Andresen BS
Feng BJ
Canson D
Richardson ME
Karam R
Pesaran T
LaDuca H
Conner BR
Abualkheir N
Hoang L
Calléja FMGR
Andrews L
James PA
Bunyan D
Hamblett A
Radice P
Goldgar DE
Walker LC
Engel C
Claes KBM
Macháčková E
Baralle D
Viel A
Wappenschmidt B
Lazaro C
Vega A
Vreeswijk MPG
de la Hoya M
Spurdle AB
Source :
Human mutation [Hum Mutat] 2022 Dec; Vol. 43 (12), pp. 1921-1944. Date of Electronic Publication: 2022 Oct 23.
Publication Year :
2022

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.<br /> (© 2022 The Authors. Human Mutation published by Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1098-1004
Volume :
43
Issue :
12
Database :
MEDLINE
Journal :
Human mutation
Publication Type :
Academic Journal
Accession number :
35979650
Full Text :
https://doi.org/10.1002/humu.24449