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

Title: 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, Kathleen; Macháčková, E; Baralle, D; Viel, A; Wappenschmidt, B; Lazaro, C; Vega, A; ENIGMA, Consortium; Vreeswijk, MPG; de la Hoya, M; Spurdle, AB
Source: HUMAN MUTATION ; ISSN: 1059-7794 ; ISSN: 1098-1004
Publication Year: 2022
Collection: Ghent University Academic Bibliography
Subject Terms: Medicine and Health Sciences; Biology and Life Sciences; splicing; quantitation; functional analysis; dPCR; BRCA2; AMP classification; ACMG
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://biblio.ugent.be/publication/01GTXPJYBQ3TDSV8AY1QN339FV; https://doi.org/10.1002/humu.24449; https://biblio.ugent.be/publication/01GTXPJYBQ3TDSV8AY1QN339FV/file/01GTXPMYEADTGS2TDFF94TCHNJ
DOI: 10.1002/humu.24449
Availability: https://biblio.ugent.be/publication/01GTXPJYBQ3TDSV8AY1QN339FV; https://hdl.handle.net/1854/LU-01GTXPJYBQ3TDSV8AY1QN339FV; https://doi.org/10.1002/humu.24449; https://biblio.ugent.be/publication/01GTXPJYBQ3TDSV8AY1QN339FV/file/01GTXPMYEADTGS2TDFF94TCHNJ
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.9E39A187
Database: BASE