International Journal of Molecular Sciences · 2019 · 40 citations · 51 references
Life SciencesGeneticsMolecular GeneticsGenomicsHuman GeneticsMedical GeneticsGenetic DisordersGenetic SyndromesRare Disease GeneticsRare Disease GenomicsVariant DetectionVariant InterpretationAllele FrequencyGenotype-phenotype AssociationsPathogenic Variant AssociationPathogenic Variant DetectionPathogenicity DeterminantsPhenotype-genotype CorrelationPhenotypic Association AnalysisPhenotypic Variation Analysis
. Direct Sanger sequencing of selected intronic regions of ABCA4 was conducted. Complete phenotypic analysis and correlation with the genotype was performed in case a known intronic pathogenic variant was identified. All other variants found on the analyzed sequences were queried for minor allele frequency and possible pathogenicity by in silico predictions. The second mutated allele was found in 14 (20%) subjects. The three known deep-intronic variants found were c.5196+1137G>A in intron 36 (6 subjects), c.4539+2064C>T in intron 30 (4 subjects) and c.4253+43G>A in intron 28 (4 subjects). Even though the phenotype depends on the compound effect of the biallelic variants, a genotype-phenotype correlation suggests that the c.5196+1137G>A was mostly associated with a mild phenotype and the c.4539+2064C>T with a more severe one. A variable effect was instead associated with the variant c.4253+43G>A. In addition, two novel variants, c.768+508A>G and c.859-245_859-243delinsTGA never associated with Stargardt disease before, were identified and a possible splice defect was predicted in silico. Our study calls for a larger cohort analysis including targeted locus sequencing and 3D protein modeling to better understand phenotype-genotype correlations associated with deep-intronic changes and patients' selection for clinical trials.
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