对未知关系个体进行系谱推断的自动分析系统

An Automatic Analysis Software System for Forensic DNA Pedigree Inference

基于短串联重复序列(short tandem repeat,STR)和单核苷酸多态性(single nucleotide polymorphism,SNP)的亲缘关系推断在群体遗传学、法医学等领域应用广泛,但目前没有成熟的系统可以实现针对STR数据和SNP数据的自动批量化处理。为弥补这一空白,项目组开发了一款基于STR数据和SNP数据的DNA系谱推断系统(DNA Genealogy Analyzer Version 1.0,DGA v1.0),该系统可运用STR和SNP亲缘关系预测算法计算未知亲缘关系群体中的所有亲缘关系。系统核心算法部分基于Python语言实现,前端部分采用HTML和CSS语言编写,整体采用Python的Flask框架开发。该系统与已有分析方法相比,结果一致性为100%,运算效率提高了800%以上,在群体遗传学等领域有重要应用价值。

Kinship inference based on short tandem repeat(STR)and single nucleotide polymorphism(SNP)is widely used in population genetics,forensics and other fields,but there is no mature system that can realize automatic batch processing of STR and SNP data.To fill this gap,a DNA pedigree inference system based on STR and SNP data(named DNA Genealogy Analyzer Version 1.0,DGA v1.0)was developed,which can use STR and SNP relationship prediction algorithms to calculate all kinships in the group of unknown relatives.The core algorithm part of the system is implemented based on Python language,the front-end part is written in HTML and CSS language,and the whole is developed using Python Flask framework.Compared with the existing analysis methods,the system has 100%result consistency and its computing efficiency is increased by more than 800%.The system would have important application value in population genetics and other fields.