Associated Papers
ABCA4 Deep Intronic Variants Contributed to Nearly Half of Unsolved Stargardt Cases With a Milder Phenotype.
Wang Y et al.
Investigative Ophthalmology & Visual Science, 2025
39883546 (PubMed )
Supplement: iovs-66-1-65_s010.xlsx › Sheet1
Spectrum of Genetic Variants in the Most Common Genes Causing Inherited Retinal Disease in a Large Molecularly Characterized United Kingdom Cohort.
Lin S et al.
Ophthalmology. Retina, 2024
38219857 (PubMed )
Supplement: mmc1.pdf
Compendium of Clinical Variant Classification for 2,246 Unique ABCA4 Variants to Clarify Variant Pathogenicity in Stargardt Disease Using a Modified ACMG/AMP Framework.
Cornelis SS et al.
Human Mutation, 2023
40225145 (PubMed )
Supplement: 6815504.f1.zip › S4_PS4_PM2.xlsx › PS4_AF_FET_PM2_rare
Phenotyping of ABCA4 Retinopathy by Machine Learning Analysis of Full-Field Electroretinography.
Glinton SL et al.
Translational Vision Science & Technology, 2022
36178783 (PubMed )
Supplement: tvst-11-9-34_s002.pdf
A novel statistical method for interpreting the pathogenicity of rare variants.
Wang J et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2021
32884132 (PubMed )
Supplement: NIHMS1630822-supplement-Supplementary_Tables.xlsx › S6_ABCA4_variants
Highly sensitive measurements of disease progression in rare disorders: Developing and validating a multimodal model of retinal degeneration in Stargardt disease.
Lambertus S et al.
Plos One, 2017
ABCA4 gene screening by next-generation sequencing in a British cohort.
Fujinami K et al.
Investigative Ophthalmology & Visual Science, 2013
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