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Ordered catenation of sequence-tagged sites and multiplexed SNP genotyping by sequencing.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Higasa, Koichiro Hayashi, Kenshi |
| Copyright Year | 2002 |
| Abstract | We describe a method for the efficient genotyping of SNPs, involving sequencing of ordered and catenated sequence-tagged sites (OCS). In OCS, short genomic segments, each containing an SNP, are amplified by PCR using primers that carry specially designed extra nucleotides at their 5'-ends. Amplification products are then combined and converted to a concatamer in a defined order by a second round of thermal cycling. The concatenation takes place because the 5'-ends of each amplicon are designed to be complementary to the ends of the presumptive neighboring amplicons. The primer sequences for OCS are chosen using newly developed dedicated software, OCS Optimizer. Using sets of SNPs, we show that at least 10 STSs can be concatenated in a predefined order and all SNPs in the STSs are accurately genotyped by one two-way sequencing reaction. |
| Starting Page | E11 |
| Ending Page | E11 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/nar/30/3/10.1093_nar_30.3.e11/1/3000e11.pdf?Expires=1494441604&Key-Pair-Id=APKAIUCZBIA4LVPAVW3Q&Signature=G7HFLpcu~rnFnNl74E1MN0WYWXdrKRbCkW~SUnN18kn33umOLLqt0jY6fybJb0jS9Lnfnu0cloSyxX2SHhuojMZyYwbzyvyFKmpx~WDj078gcOMFTDY271P4wPf7s4xzVjAjFibCdDcthW-sYKXGx4FA9dhhZ6a~qjeHnyS6JQUFlgYwA6cqudQGG9jopV0K-vxTGnDXsXHnatKjvHt6k29YeqpWndge8IqEywMbx5N~~uaa3Plvxu-6h6RUzqF-ePfCznQpSe4oLxg5nu6lRpAyuHslA8Qv-gAGQ0uG3R1h0aEr9Ga2scUP4J8ZpBCw7B-hmZQXXDMNeC6pqgdi6Q__ |
| PubMed reference number | 11809899v1 |
| Volume Number | 30 |
| Issue Number | 3 |
| Journal | Nucleic acids research |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Biopolymer Sequencing Genotype determination Nitroprusside Nucleotides Single Nucleotide Polymorphism Array Tracer |
| Content Type | Text |
| Resource Type | Article |
