BACKGROUND: McArdle disease, a common metabolic myopathy with autosomal recessive inheritance, is caused by a frequent R50X mutation and many rare mutations in the myophosphorylase gene. OBJECTIVES: To identify spectrum and frequencies of myophosphorylase gene mutations in a large cohort of patients with McArdle disease, to discuss diagnostic implications, and to analyse genotype-phenotype relationship. METHODS: Molecular genetic analysis of 56 index patients with muscle biopsy-proven myophosphorylase deficiency from Germany (n = 35), UK (n = 13), and several other countries (n = 8) was performed using direct sequencing. RESULTS: Allele frequency of the R50X mutation was 58%, and 71% of the patients carried this mutation at least on one allele. We detected 26 other less common mutations, 13 of which are novel: G157V, R161C, Q337R, E384K, S450L, G486D, R570W, K575E, IVS6-2A>T, IVS10+1G>A, R650X, c.1354insC, c.1155_1156delGG. There was no genotype-phenotype correlation with respect to age of onset and severity. R270X was the most frequent mutation among the less common mutations reaching an allele frequency of 5% followed by R94W and G686R representing a frequency of 4% each. CONCLUSIONS: The study further extends the genetic heterogeneity of myophosphorylase gene mutations showing no mutational hotspot and no genotype-phenotype correlation. Most novel missense mutations were located in secondary structures or active sites of the enzyme. Some of the less common mutations are recurrent with different frequencies within Europe. Ethnic origin and frequency of less common mutations must be considered to establish efficient strategies in molecular genetic testing. Performing molecular testing can avoid muscle biopsy.
BACKGROUND:McArdle disease, a common metabolic myopathy with autosomal recessive inheritance, is caused by a frequent R50X mutation and many rare mutations in the myophosphorylase gene. OBJECTIVES: To identify spectrum and frequencies of myophosphorylase gene mutations in a large cohort of patients with McArdle disease, to discuss diagnostic implications, and to analyse genotype-phenotype relationship. METHODS: Molecular genetic analysis of 56 index patients with muscle biopsy-proven myophosphorylase deficiency from Germany (n = 35), UK (n = 13), and several other countries (n = 8) was performed using direct sequencing. RESULTS: Allele frequency of the R50X mutation was 58%, and 71% of the patients carried this mutation at least on one allele. We detected 26 other less common mutations, 13 of which are novel: G157V, R161C, Q337R, E384K, S450L, G486D, R570W, K575E, IVS6-2A>T, IVS10+1G>A, R650X, c.1354insC, c.1155_1156delGG. There was no genotype-phenotype correlation with respect to age of onset and severity. R270X was the most frequent mutation among the less common mutations reaching an allele frequency of 5% followed by R94W and G686R representing a frequency of 4% each. CONCLUSIONS: The study further extends the genetic heterogeneity of myophosphorylase gene mutations showing no mutational hotspot and no genotype-phenotype correlation. Most novel missense mutations were located in secondary structures or active sites of the enzyme. Some of the less common mutations are recurrent with different frequencies within Europe. Ethnic origin and frequency of less common mutations must be considered to establish efficient strategies in molecular genetic testing. Performing molecular testing can avoid muscle biopsy.
Authors: M A Martín; J C Rubio; R A Wevers; B G M Van Engelen; G C H Steenbergen; O P Van Diggelen; M De Visser; C De Die-Smulders; A Blázquez; A L Andreu; J Arenas Journal: Ann Hum Genet Date: 2004-01 Impact factor: 1.670
Authors: A Martinuzzi; S Tsujino; L Vergani; G Schievano; M Cadaldini; L Bartoloni; M Fanin; G Siciliano; S Shanske; S DiMauro; C Angelini Journal: J Neurol Sci Date: 1996-04 Impact factor: 3.181
Authors: Guillermo Tarrasó; Alberto Real-Martinez; Marta Parés; Lídia Romero-Cortadellas; Laura Puigros; Laura Moya; Noemí de Luna; Astrid Brull; Miguel Angel Martín; Joaquin Arenas; Alejandro Lucia; Antoni L Andreu; Jordi Barquinero; John Vissing; Thomas O Krag; Tomàs Pinós Journal: Dis Model Mech Date: 2020-01-13 Impact factor: 5.758
Authors: Mónica Villarreal-Salazar; Astrid Brull; Gisela Nogales-Gadea; Antoni L Andreu; Miguel A Martín; Joaquín Arenas; Alfredo Santalla; Alejandro Lucia; John Vissing; Thomas O Krag; Tomàs Pinós Journal: Genes (Basel) Date: 2021-12-28 Impact factor: 4.096