Ataxia-telangiectasia (A-T) is an autosomal recessive neurological disorder caused by mutations in the ATM gene. Classical splicing mutations (type I) delete entire exons during pre-mRNA splicing. In this report, we describe nine examples of nonclassical splicing mutations in 12 A-T patients and compare cDNA changes to estimates of splice junction strengths based on maximum entropy modeling. These mutations fall into three categories: pseudoexon insertions (type II), single nucleotide changes within the exon (type III), and intronic changes that disrupt the conserved 3' splice sequence and lead to partial exon deletion (type IV). Four patients with a previously reported type II (pseudoexon) mutation all shared a common founder haplotype. Three patients with apparent missense or silent mutations actually had type III aberrant splicing and partial deletion of an exon. Five patients had type IV mutations that could have been misinterpreted as classical splicing mutations. Instead, their mutations disrupt a splice site and use another AG splice site located nearby within the exon; they lead to partial deletions at the beginning of exons. These nonclassical splicing mutations create frameshifts that result in premature termination codons. Without screening cDNA or using accurate models of splice site strength, the consequences of these genomic mutations cannot be reliably predicted. This may lead to further misinterpretation of genotype-phenotype correlations and may subsequently impact upon gene-based therapeutic approaches.

Mutations in the ATM gene are responsible for the autosomal recessive disorder ataxia-telangiectasia (A-T). Many different mutations have been identified using various techniques, with detection efficiencies ranging from 57 to 85%. In this study, we employed short tandem repeat (STR) haplotypes to enhance mutation identification in 55 unrelated A-T families of Iberian origin (20 Spanish, 17 Brazilian, and 18 Hispanic-American); we were able to identify 95% of the expected mutations. Allelic sizes were standardized based on a reference sample (CEPH 1347-2). Subsequent mutation screening was performed by PTT, SSCP, and DHPLC, and abnormal regions were sequenced. Many STR haplotypes were found within each population and six haplotypes were observed across several of these populations. Single nucleotide polymorphism (SNP) haplotypes further suggested that most of these common mutations are ancestrally related, and not hot spots. However, two mutations (8977C>T and 8264_8268delATAAG) may indeed be recurring mutational events. Common haplotypes were present in 13 of 20 Spanish A-T families (65%), in 11 of 17 Brazilian A-T families (65%), and, in contrast, in only eight of 18 Hispanic-American families (44%). Three mutations were identified that would be missed by conventional screening strategies. In all, 62 different mutations (28 not previously reported) were identified and their associated haplotypes defined, thereby establishing a new database for Iberian A-T families, and extending the spectrum of worldwide ATM mutations.

Due to the large size (150 kb) of the ataxia-telangiectasia mutated (ATM) gene and the existence of over 400 mutations, identifying mutations in patients with ataxia-telangiectasia (A-T) is labor intensive. We compared the SNP and STR haplotypes of A-T patients from varying ethnicities who were carrying common ATM mutations. We used SSCP to determine SNP haplotypes. To our surprise, all of the most common ATM mutations in our large multiethnic cohort were associated with specific SNP haplotypes, whereas the STR haplotypes varied, suggesting that ATM mutations predated STR haplotypes but not SNP haplotypes. We conclude that these frequently observed ATM mutations are not hot spots, but have occurred only once and spread with time to different ethnic populations. More generally, a combination of SNP and STR haplotyping could be used as a screening strategy for identifying mutations in other large genes by first determining the ancestral SNP and STR haplotypes in order to identify specific founder mutations. We estimate this approach will identify approximately 30% of mutations in A-T patients across all ethnic groups.