Literature DB >> 9137885

A novel point mutation (Pro84-->Ser) of the low density lipoprotein receptor gene in a family with moderate hypercholesterolemia.

A F Vuorio1, H Turtola, K Kontula.   

Abstract

To obtain insight into the possibility that genetic variation of the structure of the low density lipoprotein (LDL) receptor protein could result in subtle changes of serum cholesterol levels, we used single-strand conformation polymorphism (SSCP) to screen all 18 exons of the LDL receptor gene in a panel of subjects with moderate hypercholesterolemia. One novel mutation, replacing C to T at nucleotide 313 and predicted to cause a substitution of serine for proline at codon 84, was identified in a single proband. A convenient PCR assay based on the use of primer-introduced restriction fragment length polymorphism was set up for the detection of this mutation. However, the pathophysiologic significance of the Pro84-->Ser replacement remains to be clarified, as serum LDL cholesterol levels were not significantly higher in mutation carriers vs. non-carriers in the affected family, and no other proband was identified, on screening of DNA samples from 350 Finns. The Pro84-->Ser mutation represents the second single-amino acid change of the LDL receptor protein so far reported which is not associated with the clinical phenotype of familial hypercholesterolemia.

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Year:  1997        PMID: 9137885     DOI: 10.1111/j.1399-0004.1997.tb02451.x

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  2 in total

1.  LDLR Database (second edition): new additions to the database and the software, and results of the first molecular analysis.

Authors:  M Varret; J P Rabés; R Thiart; M J Kotze; H Baron; A Cenarro; O Descamps; M Ebhardt; J C Hondelijn; G M Kostner; Y Miyake; M Pocovi; H Schmidt; H Schuster; M Stuhrmann; T Yamamura; C Junien; C Béroud; C Boileau
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

2.  Mutation scanning by meltMADGE: validations using BRCA1 and LDLR, and demonstration of the potential to identify severe, moderate, silent, rare, and paucimorphic mutations in the general population.

Authors:  Khalid K Alharbi; Mohammed A Aldahmesh; Emmanuel Spanakis; Lema Haddad; Roslyn A Whittall; Xiao-he Chen; Hamid Rassoulian; Matt J Smith; Julie Sillibourne; Nicola J Ball; Nikki J Graham; Patricia J Briggs; Iain A Simpson; David I W Phillips; Deborah A Lawlor; Shu Ye; Stephen E Humphries; Cyrus Cooper; George Davey Smith; Shah Ebrahim; Diana M Eccles; Ian N M Day
Journal:  Genome Res       Date:  2005-07       Impact factor: 9.043

  2 in total

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