Qiu Ping, Soder George J, Sanfiorenzo Vincent J, Wang Luquan, Greene Jonathan R, Fritz Mary Ann, Cai Xiao-Yan
Bioinformatics Group and Discovery Technology Department, Schering-Plough Research Institute, 2015 Galloping Hill Road, Kenilworth, NJ 07033, USA.
Biochem Biophys Res Commun. 2003 Sep 19;309(2):331-8. doi: 10.1016/j.bbrc.2003.08.008.
Single nucleotide polymorphisms (SNPs) are linked to phenotypes associated with diseases and drug responses. Many techniques are now available to identify and quantify such SNPs in DNA or RNA pools, although the information on the latter is limited. The majority of these methodologies require prior knowledge of target sequences, normally obtained through DNA sequencing. Direct quantitation of SNPs from DNA sequencing raw data will save time and money for large amount sample analysis. A high throughput DNA sequencing assay, in combination with a SNP quantitative algorithm, was developed for the quantitation of a SNP present in HCV RNA sequences. For a side-by-side comparison, a Pyrosequencing assay was also developed. Quantitation performance was evaluated for both methods. The direct DNA sequencing quantitation method was shown to be more linear, accurate, sensitive, and reproducible than the Pyrosequencing method for the quantitation of the SNP present in HCV RNA molecules.
单核苷酸多态性(SNP)与疾病相关的表型及药物反应有关。现在有许多技术可用于识别和定量DNA或RNA库中的此类SNP,尽管关于后者的信息有限。这些方法大多需要目标序列的先验知识,通常通过DNA测序获得。直接从DNA测序原始数据定量SNP将为大量样本分析节省时间和金钱。开发了一种高通量DNA测序测定法,并结合SNP定量算法,用于定量丙型肝炎病毒(HCV)RNA序列中存在的SNP。为了进行并行比较,还开发了一种焦磷酸测序测定法。对两种方法的定量性能进行了评估。结果表明,对于定量HCV RNA分子中存在的SNP,直接DNA测序定量方法比焦磷酸测序方法更具线性、准确性、敏感性和可重复性。