1. Seven new mutations in hMSH2, an HNPCC gene, identified by denaturing gradient-gel electrophoresis.
- Author
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Wijnen J, Vasen H, Khan PM, Menko FH, van der Klift H, van Leeuwen C, van den Broek M, van Leeuwen-Cornelisse I, Nagengast F, and Meijers-Heijboer A
- Subjects
- Base Sequence, Colorectal Neoplasms, Hereditary Nonpolyposis epidemiology, Denmark epidemiology, Electrophoresis, Exons genetics, Humans, Italy epidemiology, Molecular Sequence Data, MutS Homolog 2 Protein, Netherlands epidemiology, Nucleic Acid Denaturation, Pilot Projects, Polymerase Chain Reaction, Polymorphism, Genetic, Sequence Analysis, DNA, Colorectal Neoplasms, Hereditary Nonpolyposis genetics, DNA-Binding Proteins, Mutation, Proto-Oncogene Proteins genetics
- Abstract
Hereditary nonpolyposis colorectal cancer (HNPCC) is a relatively common autosomal dominant cancer-susceptibility condition. The recent isolation of the DNA mismatch repair genes (hMSH2, hMLH1, hPMS1, and hPMS2) responsible for HNPCC has allowed the search for germ-line mutations in affected individuals. In this study we used denaturing gradient-gel electrophoresis to screen for mutations in the hMSH2 gene. Analysis of all the 16 exons of hMSH2, in 34 unrelated HNPCC kindreds, has revealed seven novel pathogenic germ-line mutations resulting in stop codons either directly or through frameshifts. Additionally, nucleotide substitutions giving rise to one missense, two silent, and one useful polymorphism have been identified. The proportion of families in which hMSH2 mutations were found is 21%. Although the spectrum of mutations spread at the hMSH2 gene among HNPCC patients appears extremely heterogeneous, we were not able to establish any correlation between the site of the individual mutations and the corresponding tumor spectrum. Our results indicate that, given the genomic size and organization of the hMSH2 gene and the heterogeneity of its mutation spectrum, a rapid and efficient mutation detection procedure is necessary for routine molecular diagnosis and presymptomatic detection of the disease in a clinical setup.
- Published
- 1995