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基于全基因组测序技术的法医SNP系谱推断灵敏度研究

孙一杰 逯经纬 李晶 方之晓 赵雯婷 刘京 胡兰 李彩霞

刑事技术2026,Vol.51Issue(3):246-251,6.
刑事技术2026,Vol.51Issue(3):246-251,6.DOI:10.16467/j.1008-3650.2025.0014

基于全基因组测序技术的法医SNP系谱推断灵敏度研究

Sensitivity Analysis of Forensic SNP Genealogical Inference Based on Whole Genome Sequencing Technology

孙一杰 1逯经纬 1李晶 2方之晓 2赵雯婷 2刘京 2胡兰 2李彩霞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,法医遗传学公安部重点实验室,北京市现场物证检验工程技术研究中心,北京 100038
  • 2. 公安部鉴定中心,法医遗传学公安部重点实验室,北京市现场物证检验工程技术研究中心,北京 100038
  • 折叠

摘要

Abstract

This study investigates the detection capability of whole genome sequencing(WGS)technology for varying DNA input levels,aiming to establish a novel technical approach for SNP-based genealogical inference in forensic biological samples.On the SalusPro sequencing platform(China),WGS with a depth of 25× were performed on samples containing 0.5,0.2,and 0.05 ng of DNA respectively.From these data,645 199 autosomal SNP loci(Wegene GSA chip)were extracted and subjected to quality control.Genetic relationships were predicted by calculating the total length of identity by descent(IBD)fragments between individuals using IBD algorithms.The results demonstrated that when DNA input was ≥ 0.2 ng,the locus detection rate and genotype concordance rate exceeded 95%and 99%,respectively.The IBD fragment lengths showed no significant difference compared to the standard samples(P>0.05),with an average confidence interval accuracy of 91.40%for 1st-to 7th-degree relationships.In contrast,at 0.05 ng DNA input,the locus detection rate and genotype concordance rate dropped below 80%and 97%,respectively.The IBD fragment lengths and confidence interval accuracy were significantly lower than those of the standard samples(P=0.004),rendering this input level unsuitable for reliable genealogical inference.

关键词

微量DNA/全基因组测序/单核苷酸多态性/IBD算法/系谱推断技术

Key words

trace DNA/whole genome sequencing/single nucleotide polymorphism/identity by descent/genealogical inference technique

分类

社会科学

引用本文复制引用

孙一杰,逯经纬,李晶,方之晓,赵雯婷,刘京,胡兰,李彩霞..基于全基因组测序技术的法医SNP系谱推断灵敏度研究[J].刑事技术,2026,51(3):246-251,6.

基金项目

国家自然科学基金面上项目(82171870) (82171870)

国家重点研发计划(2022YFC3341004) (2022YFC3341004)

刑事技术

1008-3650

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