ArticleEuropean journal of human genetics : EJHG2019
Variability in gene-based knowledge impacts variant classification: an analysis of FBN1 missense variants in ClinVar.
Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- The population frequency of predicted pathogenic genetic variants in commonly affected CAKUT genes in the general population.Pediatric nephrology (Berlin, Germany) · 2026Article
- 'Missing' disease-causing variants in Alport syndrome.Nature reviews. Nephrology · 2026Review
- Clinical and Surgical Implications of Genotype-Phenotype Correlations in Congenital Ectopia Lentis: A Real-World Cohort Study.Investigative ophthalmology & visual science · 2026Article
- Typical and atypical ADPKD: predicted pathogenic genetic variants and population frequencies.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026Article
- Multi-Institutional Evaluation of Interrater Agreement of Biomarker-Drug Pair Rankings Based on the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT) and Sources of Discordance.Molecular diagnosis & therapy · 2025Article
- Case Report:Frontiers in genetics · 2025Article
- Interpretation and classification of FBN1 variants associated with Marfan syndrome: consensus recommendations from the Clinical Genome Resource's FBN1 variant curation expert panel.Genome medicine · 2024Article
- Uncovering an Unusual FBN1 Gene Mutation Responsible for Marfan Syndrome: A Case Study.Cureus · 2024Article
- Re-evaluation of a Fibrillin-1 Gene Variant of Uncertain Significance Using the ClinGen Guidelines.Annals of laboratory medicine · 2024Article
- Article
- Exonic splicing code and protein binding sites for calcium.Nucleic acids research · 2022Article
- Comprehensive Genetic Analysis of RASopathy in the Era of Next-Generation Sequencing and Definition of a Novel Likely Pathogenic >Molecular syndromology · 2022Article
- Whole exome sequencing identifies rare coding variants in novel human-mouse ortholog genes in African individuals diagnosed with non-syndromic hearing impairment.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- Patient perspectives on variant reclassification after cancer susceptibility testing.Molecular genetics & genomic medicine · 2020Article
- Challenges in returning results in a genomic medicine implementation study: the Return of Actionable Variants Empirical (RAVE) study.NPJ genomic medicine · 2020Article
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4 authors.
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Abstract
Gene-specific knowledge can enhance genetic variant classification, but may not be routinely incorporated into clinical laboratory practice. For example, FBN1 variants associated with Marfan syndrome may be variably classified depending on knowledge of FBN1-specific critical regions. In order to assess variability in classification of FBN1 variants, 674 FBN1 missense variants from 18 ClinVar submitters were compared and reanalyzed using FBN1-specific criteria and ACMG/AMP 2015 guidelines for variant interpretation. Conflicting variant classifications occurred in 30.7% of the missense variants that had multiple submitters. There were 451 classifications of 361 critical residue missense variants, with 80.0% (361/451) classified as likely pathogenic or pathogenic [(L)P]. Non-cysteine critical residue variants were less likely to be classified as (L)P [55.3% (78/141)] than cysteine variants [91.3% (283/310)] and were more likely to lack evidence citing the functional significance of the amino acid impacted. Application of FBN1-specific knowledge allowed for reclassification or discrepancy resolution in 65/361 (18.0%) critical residue variants. There were 522 classifications of 313 unique missense variants not known to impact a critical residue. Of these, 31.6% (165/522) were likely overclassified as either (L)P or uncertain significance (VUS), especially when minor allele frequency (MAF) was taken into account, and we reclassified or resolved classification discrepancies in 128/313 (40.9%) of these variants. Our results provide a refined framework and resource for FBN1 variant classification, and further supports the more global implications of combining gene-based knowledge with ACMG/AMP criteria and appropriate MAF cutoffs for variant classification that extend beyond FBN1.
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