Literature DB >> 28249201

Genome-wide screening for highly discriminative SNPs for personal identification and their assessment in world populations.

Liming Li1, Yi Wang1, Shuping Yang1, Mingying Xia1, Yajun Yang2, Jiucun Wang2, Daru Lu2, Xingwei Pan1, Teng Ma1, Pei Jiang1, Ge Yu1, Ziqin Zhao3, Yuan Ping4, Huaigu Zhou4, Xueying Zhao4, Hui Sun5, Bing Liu6, Dongtao Jia7, Chengtao Li8, Rile Hu9, Hongzhou Lu10, Xiaoyang Liu11, Wenqing Chen12, Qin Mi13, Fuzhong Xue14, Yongdong Su15, Li Jin16, Shilin Li17.   

Abstract

The applications of DNA profiling aim to identify perpetrators, missing family members and disaster victims in forensic investigations. Single nucleotide polymorphisms (SNPs) based forensic applications are emerging rapidly with a potential to replace short tandem repeats (STRs) based panels which are now being used widely, and there is a need for a well-designed SNP panel to meet such challenge for this transition. Here we present a panel of 175 SNP markers (referred to as Fudan ID Panel or FID), selected from ∼3.6 million SNPs, for the application of personal identification. We optimized and validated FID panel using 729 Chinese individuals using a next generation sequencing (NGS) technology. We showed that the SNPs in the panel possess very high heterozygosity as well as low within- and among-continent differentiations, enabling FID panel exhibit discrimination power in both regional and worldwide populations, with the average match probabilities ranging from 4.77×10-71 to 1.06×10-64 across 54 world populations. With the advent of biomedical research, the SNPs connecting physical anthropological, physiological, behavioral and phenotypic traits will be eventually added to the forensic panels that will revolutionize criminal investigation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Forensics; Ion Torrent; Next generation sequencing; Personal identification; Single nucleotide polymorphisms

Mesh:

Year:  2017        PMID: 28249201     DOI: 10.1016/j.fsigen.2017.02.005

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  5 in total

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Authors:  Hyun-Ji Lee; Kyoung-Hwa Shin; Su Jeong Jeong; In Suk Kim
Journal:  Korean J Transplant       Date:  2021-02-24

2.  A Highly Polymorphic Panel Consisting of Microhaplotypes and Compound Markers with the NGS and Its Forensic Efficiency Evaluations in Chinese Two Groups.

Authors:  Xiaoye Jin; Xingru Zhang; Chunmei Shen; Yanfang Liu; Wei Cui; Chong Chen; Yuxin Guo; Bofeng Zhu
Journal:  Genes (Basel)       Date:  2020-09-01       Impact factor: 4.096

3.  Systematic selections and forensic application evaluations of 111 individual identification SNPs in the Chinese Inner Mongolia Manchu group.

Authors:  Congying Zhao; Hui Xu; Yating Fang; Ming Zhao; Qiong Lan; Man Chen; Shuyan Mei; Bofeng Zhu
Journal:  Front Genet       Date:  2022-09-05       Impact factor: 4.772

4.  Genome-wide screen for universal individual identification SNPs based on the HapMap and 1000 Genomes databases.

Authors:  Erwen Huang; Changhui Liu; Jingjing Zheng; Xiaolong Han; Weian Du; Yuanjian Huang; Chengshi Li; Xiaoguang Wang; Dayue Tong; Xueling Ou; Hongyu Sun; Zhaoshu Zeng; Chao Liu
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

5.  A SNP panel for identification of DNA and RNA specimens.

Authors:  Soheil Yousefi; Tooba Abbassi-Daloii; Thirsa Kraaijenbrink; Martijn Vermaat; Hailiang Mei; Peter van 't Hof; Maarten van Iterson; Daria V Zhernakova; Annique Claringbould; Lude Franke; Leen M 't Hart; Roderick C Slieker; Amber van der Heijden; Peter de Knijff; Peter A C 't Hoen
Journal:  BMC Genomics       Date:  2018-01-25       Impact factor: 3.969

  5 in total

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