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Received February 27, 2008
Accepted on October 21, 2008
ORIGINAL ARTICLES |
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*Divisions of Nephrology and Genomic Medicine, University Health Network and University of Toronto, Toronto, Ontario Canada;
Schulich School of Medicine, University of Western Ontario, London, Ontario, Canada;
Program in Genomic Biology, Hospital for Sick Children, Toronto, Ontario, Canada
1 To whom correspondence should be addressed. E-mail: york.pei{at}uhn.on.ca.
| Abstract |
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Background and objectives: Mutation-based molecular diagnostics of autosomal dominant polycystic kidney disease (ADPKD) is complicated by locus and allelic heterogeneity, large multi-exon gene structure and duplication in PKD1, and a high level of unclassified variants. Comprehensive screening of PKD1 and PKD2 by two recent studies have shown that atypical splice mutations account for 3.5% to 5% of ADPKD. We evaluated the role of bioinformatic prediction of atypical splice mutations and determined the pathogenicity of an atypical PKD2 splice variant from a multiplex ADPKD (TOR101) family.
Design, setting, participants, & measurements: Using PubMed, we identified 17 atypical PKD1 and PKD2 splice mutations. We found that bioinformatics analysis was often useful for evaluating the pathogenicity of these mutations, although RT-PCR is needed to provide the definitive proof.
Results: Sequencing of both PKD1 and PKD2 in an affected subject of TOR101 failed to identify a definite mutation, but revealed several UCVs, including an atypical PKD2 splice variant. Linkage analysis with microsatellite markers indicated that TOR101 was PKD2-linked and IVS8 + 5G
A was shown to cosegregate only with affected subjects. RT-PCR of leukocyte mRNA from an affected subject using primers from exons 7 and 9 revealed six splice variants that resulted from activation of different combinations of donor and acceptor cryptic splice sites, all terminating with premature stop codons.
Conclusions: The data provide strong evidence that IVS8 + 5G
A is a pathogenic mutation for PKD2. This case highlights the importance of functional analysis of UCVs.
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