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Neeme Tõnisson

Publications and source records attributed to Neeme Tõnisson.

4 recordsLinked to original sources

Detection of small genomic imbalances using microarray-based multiplex amplifiable probe hybridization.

Array-based genome-wide screening methods were recently introduced to clinical practice in order to detect small genomic imbalances that may cause severe genetic disorders. The continuous advancement of such methods plays an extremely important role in diagnostic genetics and medical genomics. We have modified and adapted the original multiplex amplifiable probe hybridization (MAPH) to a novel microarray format providing an important new diagnostic tool for detection of small size copy-number changes in any locus of human genome. Here, we describe the new array-MAPH diagnostic method and show proof of concept through fabrication, interrogation and validation of a human chromosome X-specific array. We have developed new bioinformatic tools and methodology for designing and producing amplifiable hybridization probes (200-600 bp) for array-MAPH. We designed 558 chromosome X-specific probes with median spacing 238 kb and 107 autosomal probes, which were spotted onto microarrays. DNA samples from normal individuals and patients with known and unknown chromosome X aberrations were analyzed for validation. Array-MAPH detected exactly the same deletions and duplications in blind studies, as well as other unknown small size deletions showing its accuracy and sensitivity. All results were confirmed by fluorescence in situ hybridization and probe-specific PCR. Array-MAPH is a new microarray-based diagnostic tool for the detection of small-scale copy-number changes in complex genomes, which may be useful for genotype-phenotype correlations, identification of new genes, studying genetic variation and provision of genetic services.

Chromosome Aberrations↗

A first-generation linkage disequilibrium map of human chromosome 22.

DNA sequence variants in specific genes or regions of the human genome are responsible for a variety of phenotypes such as disease risk or variable drug response. These variants can be investigated directly, or through their non-random associations with neighbouring markers (called linkage disequilibrium (LD)). Here we report measurement of LD along the complete sequence of human chromosome 22. Duplicate genotyping and analysis of 1,504 markers in Centre d'Etude du Polymorphisme Humain (CEPH) reference families at a median spacing of 15 kilobases (kb) reveals a highly variable pattern of LD along the chromosome, in which extensive regions of nearly complete LD up to 804 kb in length are interspersed with regions of little or no detectable LD. The LD patterns are replicated in a panel of unrelated UK Caucasians. There is a strong correlation between high LD and low recombination frequency in the extant genetic map, suggesting that historical and contemporary recombination rates are similar. This study demonstrates the feasibility of developing genome-wide maps of LD.

Chromosome Mapping↗

Evaluating the arrayed primer extension resequencing assay of TP53 tumor suppressor gene.

Identification of mutations in the tumor suppressor gene TP53 has implications for the molecular epidemiology and for the molecular pathology of human cancer. We have developed and evaluated an arrayed primer extension assay for covering both strands of a region of the coding sequence containing more than 95% of the mutations described so far in TP53. On average, 97.5% of the arrayed TP53 gene sequence can be analyzed from either sense or antisense strands, and 81% from both strands. A patient DNA sample is amplified and annealed to arrayed primers, which then promote DNA polymerase extension reactions with four fluorescently labeled dideoxynucleotides. The TP53 gene chip spans exons 2-9 plus two introns from both strands. The performance of the assay was evaluated by using freshly extracted genomic DNA, as well as DNA extracted from archival (paraffin-embedded) DNA samples. The arrayed primer extension-based TP53 gene test provides an accurate and efficient tool for DNA sequence analysis of this frequently mutated gene for both research and clinical applications.

Algorithms↗