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A New Method for Identification Potential SNP Relating to Trait on Highly Polymorphic Gene Sequence Combination NCBI Database and Multi-Sequence Alignment Software

机译:一种新的特征识别潜在SNP方法,高性能基因序列组合NCBI数据库和多序列对准软件

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The traditional methods for identification potential SNP related to trait on highly polymorphic gene sequence needs complex SNP statistic and analytical procedure with the premise that positive data and negative data all fulfill, but sometime we only get a small quantity sequence data of positive trait individuals for time, difficulty or other causes and may be unable to get complete negative trait individual sample data in time, can we speculate potential SNP loci beforehand? This paper shows us new method to solve this problem in the genetic epidemic disease research of psoriasis vulgaris by combination the SNP database in NCBI and multi-sequence alignment. Through the application of this method to the analysis of positive sequence of HLA-C genes, found 31 potential SNP loci that NCBI records relates to the disease in total.
机译:传统的鉴定潜在SNP方法与特征有关的特性,高性能基因序列需要复杂的SNP统计和分析程序,前提是正数据和负数据都履行,但有时我们只获得一定时间的少量特征的序列数据,难度或其他原因,可能无法及时获得完整的负数特性数据,我们可以预先推测潜在的SNP基因座吗?本文通过组合NCBI和多序列对准,通过组合SNP数据库来解决牛皮癣遗传流行病研究中的新方法。通过将该方法应用于HLA-C基因阳性序列的分析,发现NCBI记录总共涉及疾病的31个潜在的SNP基因座。

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