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Improved Criteria for the Classification of Titin Variants in Inherited Skeletal Myopathies

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SAVARESE Marco JOHARI Mridul JOHNSON Katherine ARUMILLI Meharji TORELLA Annalaura TÖPF Ana RUBEGNI Anna KUHN Marius GIUGLIANO Teresa GLÄSER Dieter FATTORI Fabiana THOMPSON Rachel PENTTILÄ Sini LEHTINEN Sara GIBERTINI Sara RUGGIERI Alessandra MORA Marina MAVER Ales PETERLIN Borut MANKODI Ami LOCHMÜLLER Hanns SANTORELLI Filippo Maria SCHOSER Benedikt FAJKUSOVÁ Lenka STRAUB Volker NIGRO Vincenzo HACKMAN Peter UDD Bjarne

Rok publikování 2020
Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Neuromuscular Diseases
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://content.iospress.com/articles/journal-of-neuromuscular-diseases/jnd190423
Doi http://dx.doi.org/10.3233/JND-190423
Klíčová slova Titin; cardiomyopathies; skeletal muscle disorders; clinical interpretation; data sharing
Popis BACKGROUND: Extensive genetic screening results in the identification of thousands of rare variants that are difficult to interpret. Because of its sheer size, rare variants in the titin gene (TTN) are detected frequently in any individual. Unambiguous interpretation of molecular findings is almost impossible in many patients with myopathies or cardiomyopathies. OBJECTIVE: To refine the current classification framework for TTN-associated skeletal muscle disorders and standardize the interpretation of TTN variants. METHODS: We used the guidelines issued by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) to re-analyze TTN genetic findings from our patient cohort. RESULTS: We identified in the classification guidelines three rules that are not applicable to titin-related skeletal muscle disorders; six rules that require disease-/gene-specific adjustments and four rules requiring quantitative thresholds for a proper use. In three cases, the rule strength need to be modified. CONCLUSIONS: We suggest adjustments are made to the guidelines. We provide frequency thresholds to facilitate filtering of candidate causative variants and guidance for the use and interpretation of functional data and co-segregation evidence. We expect that the variant classification framework for TTN-related skeletal muscle disorders will be further improved along with a better understanding of these diseases.

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