Deep clinicopathological phenotyping identifies a previously unrecognized pathogenic EMD splice variant.
Daniel G CalameJawid M FatihIsabella HermanZeynep Coban-AkdemirHaowei DuTadahiro MitaniShalini N JhangianiDana MarafiRichard A GibbsJennifer E PoseyVidya P MehtaCarrie A MohilaFarida AbidTimothy E LotzeDavut PehlivanAdekunle M AdesinaJames R. LupskiPublished in: Annals of clinical and translational neurology (2021)
Exome sequencing (ES) has revolutionized rare disease management, yet only ~25%-30% of patients receive a molecular diagnosis. A limiting factor is the quality of available phenotypic data. Here, we describe how deep clinicopathological phenotyping yielded a molecular diagnosis for a 19-year-old proband with muscular dystrophy and negative clinical ES. Deep phenotypic analysis identified two critical data points: (1) the absence of emerin protein in muscle biopsy and (2) clinical features consistent with Emery-Dreifuss muscular dystrophy. Sequencing data analysis uncovered an ultra-rare, intronic variant in EMD, the gene encoding emerin. The variant, NM_000117.3: c.188-6A > G, is predicted to impact splicing by in silico tools. This case thus illustrates how better integration of clinicopathologic data into ES analysis can enhance diagnostic yield with implications for clinical practice.
Keyphrases
- muscular dystrophy
- data analysis
- duchenne muscular dystrophy
- electronic health record
- clinical practice
- big data
- high throughput
- genome wide
- ejection fraction
- copy number
- molecular docking
- small molecule
- gene expression
- single molecule
- patient reported outcomes
- deep learning
- protein protein
- molecular dynamics simulations
- fine needle aspiration