Literature DB >> 7718023

Detection of a single base deletion in codon 424 of the low density lipoprotein receptor gene in a Danish family with familial hypercholesterolemia.

H Nissen1, A B Hansen, P Guldberg, N E Petersen, M L Larsen, T Haghfelt, K Kristiansen, M Hørder.   

Abstract

We performed a screening of exon 9 of the low density lipoprotein receptor (LDLR) gene in 14 Danish families with familial hypercholesterolemia (FH) using the denaturing gradient gel electrophoresis (DGGE) technique. In one of the probands from these families an abnormal band pattern in the gradient gel was detected. Subsequent DGGE analysis of the family of this index patient revealed that the DGGE pattern cosegregated with the disease in this family. Sequencing of the exon showed a deletion of a C in codon 424 of the LDLR gene resulting in a frame shift with the introduction of a stop codon 5 codons further downstream. The mutation is referred to as FH-Odense. The predicted truncated receptor protein consists of the 428 amino terminal amino acids. Consequently, the cytosolic and membrane spanning parts of the mature LDL receptor, which normally secure the receptor in the plasma membrane, are missing. The FH-Odense mutation results in severe premature coronary atherosclerosis as shown by the clinical expression in 5 generations of the affected family.

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Year:  1994        PMID: 7718023     DOI: 10.1016/0021-9150(94)90095-7

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  3 in total

1.  DNA sequence analysis by MALDI mass spectrometry.

Authors:  F Kirpekar; E Nordhoff; L K Larsen; K Kristiansen; P Roepstorff; F Hillenkamp
Journal:  Nucleic Acids Res       Date:  1998-06-01       Impact factor: 16.971

2.  Software and database for the analysis of mutations in the human LDL receptor gene.

Authors:  M Varret; J P Rabès; G Collod-Béroud; C Junien; C Boileau; C Béroud
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

3.  Buffering mechanisms in aging: a systems approach toward uncovering the genetic component of aging.

Authors:  Aviv Bergman; Gil Atzmon; Kenny Ye; Thomas MacCarthy; Nir Barzilai
Journal:  PLoS Comput Biol       Date:  2007-07-18       Impact factor: 4.475

  3 in total

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