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多重扩增靶向测序在法医遗传学中的生信分析应用

韦克全 尚蕾 袁丽萍 丁光树 李万水 刘冰 孙辉

刑事技术2026,Vol.51Issue(1):67-75,9.
刑事技术2026,Vol.51Issue(1):67-75,9.DOI:10.16467/j.1008-3650.2024.0093

多重扩增靶向测序在法医遗传学中的生信分析应用

Application of Bioinformatics Analysis Based on Multiplex Amplicon Targeted Sequencing in Forensic Genetics

韦克全 1尚蕾 2袁丽萍 2丁光树 2李万水 2刘冰 2孙辉2

作者信息

  • 1. 中国人民公安大学侦查学院,北京 100038||公安部鉴定中心,北京市现场物证检验工程技术研究中心,法医遗传学公安部重点实验室,北京 100038
  • 2. 公安部鉴定中心,北京市现场物证检验工程技术研究中心,法医遗传学公安部重点实验室,北京 100038
  • 折叠

摘要

Abstract

With the widespread application of high-throughput sequencing technology in the field of forensic genetics,effectively handling the large and complex datasets generated by high-throughput sequencing has become an urgent issue.This paper extends the Genome Analysis Toolkit Best Practices guidelines based on multiplex targeted sequencing,focusing on four genetic markers commonly used in forensic genetics:short tandem repeats(STR),single nucleotide polymorphisms(SNP),insertions and deletions(InDel),and mitochondrial DNA(mtDNA).It elaborates on how to analyze these four genetic markers from FastQ raw data to the final analysis report in three parts:data quality control,construction of necessary analysis files,and data analysis.A bioinformatics analysis workflow suitable for high-throughput sequencing raw data in the forensic genetics field is introduced,providing a feasible approach to effectively address the challenges of high-throughput sequencing data analysis.This workflow not only makes it possible to independently analyze high-throughput sequencing data,but also prepares for subsequent analyses such as population genetics if needed,offering more diversified technical support for the practical application of forensic genetics.

关键词

法医遗传学/生物信息学/高通量测序/多重扩增靶向测序/多源遗传标记

Key words

forensic genetics/bioinformatics/high-throughput sequencing/multiplex amplicon targeted sequencing/multi-source genetic markers

分类

社会科学

引用本文复制引用

韦克全,尚蕾,袁丽萍,丁光树,李万水,刘冰,孙辉..多重扩增靶向测序在法医遗传学中的生信分析应用[J].刑事技术,2026,51(1):67-75,9.

基金项目

国家重点研发计划项目(2023YFC3303701) (2023YFC3303701)

刑事技术

1008-3650

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