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Compendium of clinical variant classification for 2,247 uniqueABCA4variants to improve genetic medicine access for Stargardt Disease

Authors :
Stéphanie S. Cornelis
Miriam Bauwens
Lonneke Haer-Wigman
Marieke De Bruyne
Madhulatha Pantrangi
Elfride De Baere
Robert B. Hufnagel
Claire-Marie Dhaenens
Frans P.M. Cremers
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Biallelic variants inABCA4cause Stargardt disease (STGD1), the most frequent heritable macular disease. Determination of the pathogenicity of variants inABCA4proves 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 inABCA4is currently of uncertain significance. Here we complemented theABCA4Leiden Open Variation Database (LOVD) with data from ∼11,000 probands withABCA4-associated inherited retinal diseases from literature up to the end of 2020. We carefully adapted the ACMG/AMP classifications toABCA4and assigned these classifications to all 2,247 unique variants from theABCA4LOVD 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 ofABCA4-associated retinopathy cases so far, will improve both the diagnosis as well as genetic counselling for individuals withABCA4-associated retinopathy.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........2cb1eec914be38035c794854f95c26df