Qiliang Ding, Jenna Fine, Frank T Hoffman, Michelle L Kluge, Rhonda K Kuennen, Sarah M Thieke, Nicole L Hoppman, Cherisse A Marcou, Ross A Rowsey, Erik C Thorland, Linnea M Baudhuin, Ann M Moyer, Alessia Buglioni
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引用次数: 0
Abstract
Objectives: Protein-truncating variants in the TTN gene are a well-established cause of dilated cardiomyopathy (DCM). We report a novel case of DCM caused by a mobile element insertion (MEI) in TTN, through which we highlight the key features of MEIs in next-generation sequencing data. Because of the rarity of MEIs, the next-generation sequencing data features associated with these events may be mistaken as noise, potentially leading to missed diagnoses.
Methods: Next-generation sequencing gene panel testing for DCM was performed on a 17-year-old male patient presenting with severe left ventricular dilatation and systolic dysfunction. Manta was used for structural variant detection, followed by manual review of NGS data for potential structural variants.
Results: Manta detected a potential insertion in TTN. Manual review identified hallmark features consistent with a LINE-1 MEI. This finding was orthogonally confirmed by long-range polymerase chain reaction and gel electrophoresis, which indicated an insertion of approximately 4 to 5 kilobase pairs. The insertion disrupted the reading frame of TTN within an A-band exon, resulting in protein truncation that was classified as likely pathogenic.
Conclusions: This case expands the mutational spectrum of TTN protein-truncating variants. It also underscores the importance of recognizing rarer types of pathogenic variants (eg, MEIs) to produce accurate genetic diagnostics.
期刊介绍:
The American Journal of Clinical Pathology (AJCP) is the official journal of the American Society for Clinical Pathology and the Academy of Clinical Laboratory Physicians and Scientists. It is a leading international journal for publication of articles concerning novel anatomic pathology and laboratory medicine observations on human disease. AJCP emphasizes articles that focus on the application of evolving technologies for the diagnosis and characterization of diseases and conditions, as well as those that have a direct link toward improving patient care.