HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Linkage analysis in families with autosomal recessive limb-girdle muscular dystrophy (LGMD) and 6q probes flanking the dystrophin-related sequence.

Abstract
The clinical similarity with the X-linked muscular dystrophies and the uniqueness of the homology between the DMD-like and the 1.8 kb sequences at the carboxyterminal domain of the dystrophin gene led to the suggestion that this 6q sequence might be a strong candidate for one of the autosomal recessive muscular dystrophies. Thus, we tested, through linkage analysis, if 6q probes flanking the dystrophin-homologous sequence are linked to the gene responsible for limb-girdle dystrophy (LGMD). A total of 226 individuals (57 patients and 169 unaffected relatives) from 19 large unrelated Brazilian families was studied. Results of two-point analysis excluded linkage with MYB (6q22-23) and ESR (6q24-q27) at 8 = 0.10 and with TCP1 (6q25-q27) at 0 = 0.05, indicating that the LGMD gene is not in the 6q23-q27 region. Therefore, the dystrophin-homologue sequence is not the gene responsible for LGMD.
AuthorsM R Passos-Bueno, J Terwilliger, J Ott, M Vainzof, D R Love, K E Davies, M Zatz
JournalAmerican journal of medical genetics (Am J Med Genet) Vol. 38 Issue 1 Pg. 140-6 (Jan 1991) ISSN: 0148-7299 [Print] United States
PMID2012126 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Dystrophin
Topics
  • Chromosome Mapping
  • Chromosomes, Human, Pair 6 (ultrastructure)
  • Dystrophin (genetics)
  • Female
  • Genes, Recessive
  • Genetic Linkage
  • Humans
  • Male
  • Muscular Dystrophies (genetics)
  • Pedigree
  • Recombination, Genetic
  • Sequence Homology, Nucleic Acid

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: