Molecular Genetics & Genomic Medicine · 2023 · 11 citations · 15 references
MedicineGeneticsMolecular GeneticsHuman GeneticsMedical GeneticsPediatric GeneticsCongenital Cranial AnomaliesCongenital Craniofacial AnomaliesCongenital MalformationsGenetic DisordersNeonatal GeneticsPediatric Airway DisordersCongenital Airway ObstructionCongenital Craniofacial Anomalies GeneticsCraniofacial Developmental AnomaliesDisease-associated Splicing DefectsExome SequencingSplicing FactorsSplicing Variant AnalysisTrio Sequencing
BACKGROUND: Craniofacial microsomia (CFM) is a common congenital malformation with unknown pathogenesis. Although few cases have been reported, it is suggested that variants of the SF3B2 gene may lead to CFM. We herein report the case of a neonate with CFM exhibiting rare features of airway obstruction. METHODS: Trio whole-exome sequencing and Sanger validation were performed on the proband and her parents. Candidate gene mutations were analyzed using the Genome Aggregation Database (gnomAD) for normal frequency distributions. The Human Splicing Finder (HSF) and Rare Disease Data Center (RDDC) RNA splicer algorithms predicted the variant's harmfulness, verified by a Minigene assay. RESULTS: The proband had a heterozygous SF3B2 variant, NM_006842.3:c.777+1G>A. The patient's father also carried this variant and exhibited facial abnormalities. The variant was not in gnomAD, and HSF and RDDC RNA splicers indicated donor site disruption. The minigene assay suggested that two mRNA products were produced, leading to a premature termination codon. CONCLUSION: For this family, the pathogenesis of CFM may have been caused by an SF3B2 splicing variant. Affected family members exhibited varying degrees of malformation, indicating that CFM has phenotypic heterogeneity. This finding expands the phenotype and variant spectrum of SF3B2, enriches neonatal CFM research, and provides a possible guide to genetic counseling.
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Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 32.2K citations · Full text
Predicting Splicing from Primary Sequence with Deep Learning
Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou, Jeremy F. McRae et al. · Cell · 2019 · 2.9K citations · Full text