Associated Papers
Reassessment of FBN1 variants of uncertain significance using updated ClinGen guidance for PP1/BS4 and PP4 criteria.
Shin JH et al.
European Journal of Human Genetics : Ejhg, 2025
40169830 (PubMed )
Supplement: 41431_2025_1826_MOESM3_ESM.xlsx › Supplementary_Table_2
Interpretation and classification of FBN1 variants associated with Marfan syndrome: consensus recommendations from the Clinical Genome Resource's FBN1 variant curation expert panel.
Drackley A et al.
Genome Medicine, 2024
39741318 (PubMed )
Supplement: 13073_2024_1423_MOESM2_ESM.xlsx › Sheet1
SPiP: Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing.
Leman R et al.
Human Mutation, 2022
36273432 (PubMed )
Supplement: HUMU-43-2308-s002.xlsx › Feuil1
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders.
Rowlands C et al.
Scientific Reports, 2021
34663891 (PubMed )
Supplement: 41598_2021_99747_MOESM2_ESM.xlsx › Table-S1-modified
Genotype-Phenotype Correlation in Children: The Impact of FBN1 Variants on Pediatric Marfan Care.
Stark VC et al.
Genes, 2020
32679894 (PubMed )
Supplement: genes-11-00799-s001.zip › supplement_Data-variants.pdf
Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance.
Wai HA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020
32123317 (PubMed )
Supplement: 41436_2020_766_MOESM3_ESM.xlsx › Variant_summary
Evaluating Japanese patients with the Marfan syndrome using high-throughput microarray-based mutational analysis of fibrillin-1 gene.
Ogawa N et al.
The American Journal of Cardiology, 2011
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