1. Haemophilia A mutations in the UK: results of screening one-third of the population
- Author
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Peter M. Green, Richard Bagnall, Francesco Giannelli, and Naushin Waseem
- Subjects
Male ,Silent mutation ,Mutation rate ,DNA Mutational Analysis ,Haemophilia A ,Nonsense mutation ,Population ,Mutation, Missense ,Biology ,Hemophilia A ,medicine.disease_cause ,Exon ,Databases, Genetic ,Prevalence ,medicine ,Humans ,Mass Screening ,Frameshift Mutation ,Promoter Regions, Genetic ,education ,Genetics ,Mutation ,education.field_of_study ,Reverse Transcriptase Polymerase Chain Reaction ,Hematology ,medicine.disease ,Introns ,United Kingdom ,Stop codon ,Alternative Splicing ,Codon, Nonsense ,Chromosome Inversion ,Female ,Gene Deletion - Abstract
One-third of the UK haemophilia A population was screened to establish a national database of mutations and pedigrees and advance knowledge of the disease. The following mutations were found: 131 intron 22- and 13 intron1-breaking inversions; 11 gross deletions and an insertion; 65 frameshifts; three in-frame deletions and one insertion; 46 nonsense; 30 intronic mutations affecting splice sites and four generating new sites; 469 non-synonymous mutations due to 203 different base substitutions of which four affected, and nine were predicted to affect, splicing; three promoter mutations; two synonymous exon 14 mutations possibly affecting splicing; two VWF mutations. Of the above mutations, 176 are not listed in the Haemophilia A Mutation, Structure, Test and Resource Site (HAMSTeRS). Four gross deletions arose by non-homologous end-joining; we detected unexpected splicing in some mutations; substitution of amino acids conserved for less than 90 million years are rare; the risk of developing inhibitors for patients with nonsense mutations is greater when the stop codon is in the 3' half of the mRNA; changes likely to generate splice sites causing frameshifts are over-represented among non-synonymous mutations associated with inhibitors; our data and those in HAMSTeRS enabled the size of the spectrum of specific mutations causing the disease to be estimated and to determine how much of it is known.
- Published
- 2008
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