摘要
建立一种基于概率算法、聚类分析和主成分分析的DNA族群推断系统(DNA Ancestry Analyzer Version1.0,简称DAA v1.0),用于对未知来源个体进行族群推断。DAA v1.0基础部分用Python语言、R语言、C语言编写;前端部分用node.js语言、HTML语言、css语言编写。DAA v1.0可对未知来源个体的族群进行推断,与已有分析方法相比,结果的一致性为100%,运算效率提升了600%。该系统可界面化、自动化地计算DNA来源人的群体匹配概率和似然比值、群体成分,绘制群体归类图,在人类遗传学、法医遗传学等领域有重要的应用价值。
The DNA Ancestry Analyzer Version 1.0, or DAA v1.0, was established based on the probability algorithm, clustering analysis and principal component analysis to infer ancestry for unknown individuals. The basic part of DAA v1.0 was written in Python, R and C; and the front part was written in node.js, HTML, and css. DAA vl.0 can estimate continental ancestry components of unknown individuals and populations. Compared with the previous analysis method, the consistency of DAA v1.0 is 100%, and the efficien- cy is improved by about 600%. It can calculate the population assignment match probability （AMP）, likelihood ratio （LR）, population ancestry component and draw the figure of classification of unknown individuals auto- matically, and has important practical values in the field of human ~enetics and forensic genetics.
出处
《生命科学研究》
CAS
CSCD
2018年第1期3-7,41,共6页
Life Science Research
基金
国家重点研发计划(2017YFC0803501)
国家科技资源共享服务平台计划项目(YCZYPT[2017]01-3)
公安科技成果推广引导计划(2016TGYDGAES14)
中央公益类基本科研业务费专项资金项目(2016JB039
2017JB025)
