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      Identification of splice defects due to noncanonical splice site or deep‐intronic variants in ABCA4

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          Abstract

          Pathogenic variants in the ATP‐binding cassette transporter A4 ( ABCA4) gene cause a continuum of retinal disease phenotypes, including Stargardt disease. Noncanonical splice site (NCSS) and deep‐intronic variants constitute a large fraction of disease‐causing alleles, defining the functional consequences of which remains a challenge. We aimed to determine the effect on splicing of nine previously reported or unpublished NCSS variants, one near exon splice variant and nine deep‐intronic variants in ABCA4, using in vitro splice assays in human embryonic kidney 293T cells. Reverse transcription‐polymerase chain reaction and Sanger sequence analysis revealed splicing defects for 12 out of 19 variants. Four deep‐intronic variants create pseudoexons or elongate the upstream exon. Furthermore, eight NCSS variants cause a partial deletion or skipping of one or more exons in messenger RNAs. Among the 12 variants, nine lead to premature stop codons and predicted truncated ABCA4 proteins. At least two deep‐intronic variants affect splice enhancer and silencer motifs and, therefore, these conserved sequences should be carefully evaluated when predicting the outcome of NCSS and deep‐intronic variants.

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          Most cited references42

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          Understanding alternative splicing: towards a cellular code.

          In violation of the 'one gene, one polypeptide' rule, alternative splicing allows individual genes to produce multiple protein isoforms - thereby playing a central part in generating complex proteomes. Alternative splicing also has a largely hidden function in quantitative gene control, by targeting RNAs for nonsense-mediated decay. Traditional gene-by-gene investigations of alternative splicing mechanisms are now being complemented by global approaches. These promise to reveal details of the nature and operation of cellular codes that are constituted by combinations of regulatory elements in pre-mRNA substrates and by cellular complements of splicing regulators, which together determine regulated splicing pathways.
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            Improved splice site detection in Genie.

            We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon gene in a DNA sequence. In Genie, probabilities are estimated for gene features by using dynamic programming to combine information from multiple content and signal sensors, including sensors that integrate matches to homologous sequences from a database. One of the hardest problems in genefinding is to determine the complete gene structure correctly. The splice site sensors are the key signal sensors that address this problem. We replaced the existing splice site sensors in Genie with two novel neural networks based on dinucleotide frequencies. Using these novel sensors, Genie shows significant improvements in the sensitivity and specificity of gene structure identification. Experimental results in tests using a standard set of annotated genes showed that Genie identified 86% of coding nucleotides correctly with a specificity of 85%, versus 80% and 84% in the older system. In further splice site experiments, we also looked at correlations between splice site scores and intron and exon lengths, as well as at the effect of distance to the nearest splice site on false positive rates.
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              RNA splice junctions of different classes of eukaryotes: sequence statistics and functional implications in gene expression.

              A systematic analysis of the RNA splice junction sequences of eukaryotic protein coding genes was carried out using the GENBANK databank. Nucleotide frequencies obtained for the highly conserved regions around the splice sites for different categories of organisms closely agree with each other. A striking similarity among the rare splice junctions which do not contain AG at the 3' splice site or GT at the 5' splice site indicates the existence of special mechanisms to recognize them, and that these unique signals may be involved in crucial gene-regulation events and in differentiation. A method was developed to predict potential exons in a bare sequence, using a scoring and ranking scheme based on nucleotide weight tables. This method was used to find a majority of the exons in selected known genes, and also predicted potential new exons which may be used in alternative splicing situations.
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                Author and article information

                Contributors
                Susanne.Roosing@radboudumc.nl
                Journal
                Hum Mutat
                Hum. Mutat
                10.1002/(ISSN)1098-1004
                HUMU
                Human Mutation
                John Wiley and Sons Inc. (Hoboken )
                1059-7794
                1098-1004
                03 September 2019
                December 2019
                : 40
                : 12 ( doiID: 10.1002/humu.v40.12 )
                : 2365-2376
                Affiliations
                [ 1 ] Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior Radboud University Medical Center Nijmegen The Netherlands
                [ 2 ] Department of Genetics, Instituto de Investigación Sanitaria–Fundación Jiménez Díaz University Hospital Universidad Autónoma de Madrid (IIS‐FJD, UAM) Madrid Spain
                Author notes
                [*] [* ] Correspondence Susanne Roosing, PhD, Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, P. O. Box 9101, 6500 HB Nijmegen, The Netherlands.

                Email: Susanne.Roosing@ 123456radboudumc.nl

                Author information
                http://orcid.org/0000-0003-0440-3846
                http://orcid.org/0000-0002-7545-5662
                http://orcid.org/0000-0003-3934-0873
                http://orcid.org/0000-0001-7619-927X
                http://orcid.org/0000-0002-9242-7065
                http://orcid.org/0000-0002-4954-5592
                http://orcid.org/0000-0001-9038-0067
                Article
                HUMU23890
                10.1002/humu.23890
                6899986
                31397521
                d0160c17-af99-422d-a594-4382cf080779
                © 2019 The Authors. Human Mutation Published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 08 May 2019
                : 30 July 2019
                : 04 August 2019
                Page count
                Figures: 5, Tables: 2, Pages: 12, Words: 6780
                Funding
                Funded by: Foundation Fighting Blindness , open-funder-registry 10.13039/100001116;
                Award ID: PPA‐0517–0717‐RAD
                Funded by: Retina UK
                Award ID: UK grant GR591
                Funded by: Fighting Blindness Ireland
                Award ID: FB18CRE
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:05.12.2019

                Human biology
                abca4,deep‐intronic variants,noncanonical splice site variant,splice enhancers,splice silencers,stargardt disease

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