HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

A SCN4A mutation causing paramyotonia congenita.

Abstract
Paramyotonia congenita (OMIM 168300) is a non-dystrophic myopathy caused by mutations in the SCN4A gene that sometimes can be confused with myotonia congenita. Another disease also caused by mutations in the gene SCN4A is called myotonia aggravated by potassium (OMIM 170500, 613345). It is estimated that more than 20% of patients with suspected myotonia congenita suffer paramyotonia congenita. The two related SCN4A phenotypes exhibit an autosomal dominant inheritance and are the result of mutations that cause an increase in the function of the protein coded by this gene. In this study we present a case of paramyotonia congenita in a family with several affected members and in which a mutation in the SCN4A gene was identified. Evolutionary conservation data and predictive algorithms of pathogenicity allow us to conclude that this DNA variant is the cause of the disease in this family.
AuthorsCarmen Palma, Carmen Prior, Clara Gómez-González, Carlos Rodríguez-Antolin, Paloma Martínez-Montero, Lucía Pérez de Ayala, Samuel I Pascual, Jesús Molano Mateos
JournalNeuromuscular disorders : NMD (Neuromuscul Disord) Vol. 27 Issue 12 Pg. 1123-1125 (Dec 2017) ISSN: 1873-2364 [Electronic] England
PMID29111379 (Publication Type: Case Reports, Journal Article)
CopyrightCopyright © 2017 Elsevier B.V. All rights reserved.
Chemical References
  • NAV1.4 Voltage-Gated Sodium Channel
  • SCN4A protein, human
Topics
  • Adolescent
  • Adult
  • Female
  • Humans
  • Male
  • Middle Aged
  • Mutation
  • Myotonic Disorders (genetics)
  • NAV1.4 Voltage-Gated Sodium Channel (genetics)
  • Pedigree
  • Young Adult

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: