Compendium of clinical variant classification for 2,247 unique ABCA4 variants to improve genetic medicine access for Stargardt Disease
Cornelis, S. S.; Bauwens, M.; Haer-Wigman, L.; de Bruyne, M.; Pantrangi, M.; De Baere, E.; Hufnagel, R. B.; Dhaenens, C.-M.; Cremers, F. P. M.
Show abstract
Biallelic variants in ABCA4 cause Stargardt disease (STGD1), the most frequent heritable macular disease. Determination of the pathogenicity of variants in ABCA4 proves to be difficult due to 1) the high number of benign and pathogenic variants in the gene; 2) the presence of complex alleles; 3) the extensive variable expressivity of this disease and 4) reduced penetrance of hypomorphic variants. Therefore, the classification of many variants in ABCA4 is currently of uncertain significance. Here we complemented the ABCA4 Leiden Open Variation Database (LOVD) with data from [~]11,000 probands with ABCA4-associated inherited retinal diseases from literature up to the end of 2020. We carefully adapted the ACMG/AMP classifications to ABCA4 and assigned these classifications to all 2,247 unique variants from the ABCA4 LOVD to increase the knowledge of pathogenicity. In total, 1,247 variants were categorized with a Likely Pathogenic or Pathogenic classification, whereas 194 variants were categorized with a Likely Benign or Benign classification. This uniform and improved structured reclassification, incorporating the largest dataset of ABCA4-associated retinopathy cases so far, will improve both the diagnosis as well as genetic counselling for individuals with ABCA4-associated retinopathy.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Using single molecule Molecular Inversion Probes as a cost-effective, high-throughput sequencing approach to target all genes and loci associated with macular diseases 95%
- REVEL is better at predicting pathogenicity of loss-of-function than gain-of-function variants 95%
- Specifications Of The Acmg/Amp Variant Curation Guidelines For Myocilin: Recommendations From The Clingen Glaucoma Expert Panel 93%
Similar papers in this journal
- ATP7B variant penetrance explains differences between genetic and clinical prevalence estimates for Wilson disease 94%
- Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity 93%
- Comprehensive simulation and interpretation of single nucleotide substitutions in GJB2 reveals the genetic and phenotypic landscape of GJB2-related hearing loss 93%
Similar papers in this journal
- Disease-specific variant interpretation highlighted the genetic findings in 2325 Japanese patients with retinitis pigmentosa and allied diseases 93%
- Advancing in Schaaf-Yang syndrome pathophysiology: from bedside to subcellular analyses of truncated MAGEL2 93%
- EyeG2P: an automated variant filtering approach improves efficiency of diagnostic genomic testing for inherited ophthalmic disorders 92%
Similar papers in this journal
- Critical assessment of variant prioritization methods for rare disease diagnosis within the Rare Genomes Project 92%
- Combining full-length gene assay and SpliceAI to interpret the splicing impact of all possible SPINK1 coding variants 91%
- Analysis of a deeply-phenotyped familial hypercholesterolemia cohort from Mexico shows a role for both rare and common alleles across known dyslipidemia genes and reveals structural variation in a novel locus. 91%
Similar papers in this journal
- Variability in gene expression is associated with incomplete penetrance in inherited eye disorders 96%
- Characterization of the common genetic variation in the Spanish population of Navarre 93%
- Evaluation of optical genome mapping in clinical genetic testing of facioscapulohumeral muscular dystrophy 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.