Associated Papers
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
Steered molecular dynamic simulations reveal Marfan syndrome mutations disrupt fibrillin-1 cbEGF domain mechanosensitive calcium binding.
Haller SJ et al.
Scientific Reports, 2020
33033378 (PubMed )
Supplement: 41598_2020_73969_MOESM1_ESM.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
A novel fibrillin-1 gene missense mutation associated with neonatal Marfan syndrome: a case report and review of the mutation spectrum.
Peng Q et al.
Bmc Pediatrics, 2016
New population-based exome data question the pathogenicity of some genetic variants previously associated with Marfan syndrome.
Yang RQ et al.
Bmc Genetics, 2014
24941995 (PubMed )
Supplement: 1471-2156-15-74-S2.docx
Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities.
Robinson DO et al.
Clinical Genetics, 2012
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