BACKGROUND: Molecular genetic testing is commonly used to confirm clinical diagnoses of inherited urea cycle disorders (UCDs); however, conventional mutation screenings encompassing only the coding regions of genes may not detect disease-causing mutations occurring in regulatory elements and introns. Microarray-based target enrichment and next-generation sequencing now allow more-comprehensive genetic screening. We applied this approach to UCDs and combined it with the use of DNA bar codes for more cost-effective, parallel analyses of multiple samples. METHODS: We used sectored 2240-feature medium-density oligonucleotide arrays to capture and enrich a 199-kb genomic target encompassing the complete genomic regions of 3 urea cycle genes, OTC (ornithine carbamoyltransferase), CPS1 (carbamoyl-phosphate synthetase 1, mitochondrial), and NAGS (N-acetylglutamate synthase). We used the Genome Sequencer FLX System (454 Life Sciences) to jointly analyze 4 samples individually tagged with a 6-bp DNA bar code and compared the results with those for an individually sequenced sample. RESULTS: Using a low tiling density of only 1 probe per 91 bp, we obtained strong enrichment of the targeted loci to achieve ≥90% coverage with up to 64% of the sequences covered at a sequencing depth ≥10-fold. We observed a very homogeneous sequence representation of the bar-coded samples, which yielded a >30% increase in the sequence data generated per sample, compared with an individually processed sample. Heterozygous and homozygous disease-associated mutations were correctly detected in all samples. CONCLUSIONS: The use of DNA bar codes and the use of sectored oligonucleotide arrays for target enrichment enable parallel, large-scale analysis of complete genomic regions for multiple genes of a disease pathway and for multiple samples simultaneously. This approach thus may provide an efficient tool for comprehensive diagnostic screening of mutations.
BACKGROUND: Molecular genetic testing is commonly used to confirm clinical diagnoses of inherited urea cycle disorders (UCDs); however, conventional mutation screenings encompassing only the coding regions of genes may not detect disease-causing mutations occurring in regulatory elements and introns. Microarray-based target enrichment and next-generation sequencing now allow more-comprehensive genetic screening. We applied this approach to UCDs and combined it with the use of DNA bar codes for more cost-effective, parallel analyses of multiple samples. METHODS: We used sectored 2240-feature medium-density oligonucleotide arrays to capture and enrich a 199-kb genomic target encompassing the complete genomic regions of 3 urea cycle genes, OTC (ornithine carbamoyltransferase), CPS1 (carbamoyl-phosphate synthetase 1, mitochondrial), and NAGS (N-acetylglutamate synthase). We used the Genome Sequencer FLX System (454 Life Sciences) to jointly analyze 4 samples individually tagged with a 6-bp DNA bar code and compared the results with those for an individually sequenced sample. RESULTS: Using a low tiling density of only 1 probe per 91 bp, we obtained strong enrichment of the targeted loci to achieve ≥90% coverage with up to 64% of the sequences covered at a sequencing depth ≥10-fold. We observed a very homogeneous sequence representation of the bar-coded samples, which yielded a >30% increase in the sequence data generated per sample, compared with an individually processed sample. Heterozygous and homozygous disease-associated mutations were correctly detected in all samples. CONCLUSIONS: The use of DNA bar codes and the use of sectored oligonucleotide arrays for target enrichment enable parallel, large-scale analysis of complete genomic regions for multiple genes of a disease pathway and for multiple samples simultaneously. This approach thus may provide an efficient tool for comprehensive diagnostic screening of mutations.
Authors: Rihwa Choi; Hyung Doo Park; Mina Yang; Chang Seok Ki; Soo Youn Lee; Jong Won Kim; Junghan Song; Yun Sil Chang; Won Soon Park Journal: Ann Lab Med Date: 2017-01 Impact factor: 3.464
Authors: Eva Gálvez; Elena Vallespín; Elena G Arias-Salgado; Carmen Sánchez-Valdepeñas; Yari Giménez; Susana Navarro; Paula Río; Massimo Bogliolo; Roser Pujol; Montserrat Peiró; Julián Nevado; Josune Zubicaray; Elena Sebastián; Albert Catalá; Cristina Beléndez; Cristina Díaz de Heredia; Ana Galera; Isabel Badell; Luis Madero; Rosario Perona; Leandro Sastre; Jordi Surrallés; Juan Bueren; Pablo Lapunzina; Julián Sevilla Journal: Hemasphere Date: 2021-03-09
Authors: Peter Bauer; Krishna Kumar Kandaswamy; Maximilian E R Weiss; Omid Paknia; Martin Werber; Aida M Bertoli-Avella; Zafer Yüksel; Malgorzata Bochinska; Gabriela E Oprea; Shivendra Kishore; Volkmar Weckesser; Ellen Karges; Arndt Rolfs Journal: Genet Med Date: 2018-08-13 Impact factor: 8.822