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Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing

Missense variants in ABCA4 constitute ~50% of causal variants in Stargardt disease (STGD1). Their pathogenicity is attributed to their direct effect on protein function, whilst their potential impact on pre-mRNA splicing disruption remains poorly understood. Interestingly, synonymous ABCA4 variants...

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Autores principales: Kaltak, Melita, Corradi, Zelia, Collin, Rob W J, Swildens, Jim, Cremers, Frans P M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586196/
https://www.ncbi.nlm.nih.gov/pubmed/37555651
http://dx.doi.org/10.1093/hmg/ddad129
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author Kaltak, Melita
Corradi, Zelia
Collin, Rob W J
Swildens, Jim
Cremers, Frans P M
author_facet Kaltak, Melita
Corradi, Zelia
Collin, Rob W J
Swildens, Jim
Cremers, Frans P M
author_sort Kaltak, Melita
collection PubMed
description Missense variants in ABCA4 constitute ~50% of causal variants in Stargardt disease (STGD1). Their pathogenicity is attributed to their direct effect on protein function, whilst their potential impact on pre-mRNA splicing disruption remains poorly understood. Interestingly, synonymous ABCA4 variants have previously been classified as ‘severe’ variants based on in silico analyses. Here, we systemically investigated the role of synonymous and missense variants in ABCA4 splicing by combining computational predictions and experimental assays. To identify variants of interest, we used SpliceAI to ascribe defective splice predictions on a dataset of 5579 biallelic STGD1 probands. We selected those variants with predicted delta scores for acceptor/donor gain > 0.20, and no previous reports on their effect on splicing. Fifteen ABCA4 variants were selected, 4 of which were predicted to create a new splice acceptor site and 11 to create a new splice donor site. In addition, three variants of interest with delta scores < 0.20 were included. The variants were introduced in wild-type midigenes that contained 4–12 kb of ABCA4 genomic sequence, which were subsequently expressed in HEK293T cells. By using RT-PCR and Sanger sequencing, we identified splice aberrations for 16 of 18 analyzed variants. SpliceAI correctly predicted the outcomes for 15 out of 18 variants, illustrating its reliability in predicting the impact of coding ABCA4 variants on splicing. Our findings highlight a causal role for coding ABCA4 variants in splicing aberrations, improving the severity assessment of missense and synonymous ABCA4 variants, and guiding to new treatment strategies for STGD1.
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spelling pubmed-105861962023-10-20 Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing Kaltak, Melita Corradi, Zelia Collin, Rob W J Swildens, Jim Cremers, Frans P M Hum Mol Genet Original Article Missense variants in ABCA4 constitute ~50% of causal variants in Stargardt disease (STGD1). Their pathogenicity is attributed to their direct effect on protein function, whilst their potential impact on pre-mRNA splicing disruption remains poorly understood. Interestingly, synonymous ABCA4 variants have previously been classified as ‘severe’ variants based on in silico analyses. Here, we systemically investigated the role of synonymous and missense variants in ABCA4 splicing by combining computational predictions and experimental assays. To identify variants of interest, we used SpliceAI to ascribe defective splice predictions on a dataset of 5579 biallelic STGD1 probands. We selected those variants with predicted delta scores for acceptor/donor gain > 0.20, and no previous reports on their effect on splicing. Fifteen ABCA4 variants were selected, 4 of which were predicted to create a new splice acceptor site and 11 to create a new splice donor site. In addition, three variants of interest with delta scores < 0.20 were included. The variants were introduced in wild-type midigenes that contained 4–12 kb of ABCA4 genomic sequence, which were subsequently expressed in HEK293T cells. By using RT-PCR and Sanger sequencing, we identified splice aberrations for 16 of 18 analyzed variants. SpliceAI correctly predicted the outcomes for 15 out of 18 variants, illustrating its reliability in predicting the impact of coding ABCA4 variants on splicing. Our findings highlight a causal role for coding ABCA4 variants in splicing aberrations, improving the severity assessment of missense and synonymous ABCA4 variants, and guiding to new treatment strategies for STGD1. Oxford University Press 2023-08-09 /pmc/articles/PMC10586196/ /pubmed/37555651 http://dx.doi.org/10.1093/hmg/ddad129 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kaltak, Melita
Corradi, Zelia
Collin, Rob W J
Swildens, Jim
Cremers, Frans P M
Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing
title Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing
title_full Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing
title_fullStr Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing
title_full_unstemmed Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing
title_short Stargardt disease-associated missense and synonymous ABCA4 variants result in aberrant splicing
title_sort stargardt disease-associated missense and synonymous abca4 variants result in aberrant splicing
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586196/
https://www.ncbi.nlm.nih.gov/pubmed/37555651
http://dx.doi.org/10.1093/hmg/ddad129
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