Two-point-one-line modularized strategy combined with Holliday-junction button probes for multiloci SNPs long-range distribution analysis

单倍型 单核苷酸多态性 计算生物学 SNP公司 计算机科学 霍利迪路口 模块化设计 清脆的 生物 遗传学 DNA 基因 DNA修复 基因型 操作系统
作者
Luo Wang,You Wu,Xueping Chen,Li Zhang,Li Wang,Dan Bai,Qian Liu,Ting Wang,Hongyan Yu,Yaxing Xie,Yixin Fu,Zhongzhong Wang,Yujun Yang,Junjie Li,Yongcan Guo,Ke Lv,Guoming Xie
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:474: 146026-146026 被引量:4
标识
DOI:10.1016/j.cej.2023.146026
摘要

Some combinations of statistically related SNPs (tag SNPs) distributed within individual chromosomes may reflect richer medical and genetic information than isolated SNPs, called haplotypes. However, unlike the rapidly growing number of rapid SNP tests, determining whether SNP locus separated thousands of bases apart are located on the same chromosome is so difficult and time-consuming that its personalized application in clinical settings has almost completely stalled. Through enzyme engineering, we designed special targets that retain modularized haplotype information; through DNA nanotechnology, we developed Holliday-junction button probes that specifically identify much longer double-stranded targets; through exploration of thermodynamic mechanisms, we overcame the paradox of probe specificity and yield to significantly improve detection; through mathematical logic reasoning, we designed modular algorithms to simplify difficult long-range multilocus haplotype analysis. The multidisciplinary intersection allows us to quickly and accurately read known haplotypes. Most importantly, haplotype analysis based on mathematical logic is universally applicable, and other effective molecular biological techniques can be combined with our algorithm to obtain more professional results. This study provides a new perspective on the field's efforts to solve the thorny problem of haplotype analysis. It is promising to contribute to the development of personalized applications of haplotype analysis.
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