Literature DB >> 29882060

Exploring the ancestry differentiation and inference capacity of the 28-plex AISNPs.

Wei-Qi Hao1,2, Jing Liu2, Li Jiang2, Jun-Ping Han2,3, Ling Wang2, Jiu-Ling Li2, Quan Ma2, Chao Liu4,5, Hui-Jun Wang6, Cai-Xia Li7.   

Abstract

Inferring an unknown DNA's ancestry using a set of ancestry-informative single nucleotide polymorphisms (SNPs) in forensic science is useful to provide investigative leads. This is especially true when there is no DNA database match or specified suspect. Thus, a set of SNPs with highly robust and balanced differential power is strongly demanded in forensic science. In addition, it is also necessary to build a genotyping database for estimating the ancestry of an individual or an unknown DNA. For the differentiation of Africans, Europeans, East Asians, Native Americans, and Oceanians, the Global Nano set that includes just 31 SNPs was developed by de la Puente et al. Its ability for differentiation and balance was evaluated using the genotype data of the 1000 Genomes Phase III project and the Stanford University HGDP-CEPH. Just 402 samples were genotyped and analyzed as a reference set based on statistical methods. To validate the differentiating capacity using more samples, we developed a single-tube 28-plex SNP assay in which the SNPs were chosen from the 31 allelic loci of the Global AIMs Nano set. Three tri-allelic SNPs used to differentiate mixed-source DNA contribute little to population differentiation and were excluded here. Then, 998 individuals from 21 populations were typed, and these genotypes were combined with the genotype data obtained from 1000 Genomes Phase III and the Stanford University HGDP-CEPH (3090 total samples,43 populations) to estimate the power of this multiplex assay and build a database for the further inference of an individual or an unknown DNA sample in forensic practice.

Keywords:  AIMs; Compound amplification; Forensic genetics; Genetics structure analysis

Mesh:

Year:  2018        PMID: 29882060     DOI: 10.1007/s00414-018-1863-z

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  30 in total

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Journal:  Am J Hum Biol       Date:  2015-08-21       Impact factor: 1.937

2.  Developing a SNP panel for forensic identification of individuals.

Authors:  Kenneth K Kidd; Andrew J Pakstis; William C Speed; Elena L Grigorenko; Sylvester L B Kajuna; Nganyirwa J Karoma; Selemani Kungulilo; Jong-Jin Kim; Ru-Band Lu; Adekunle Odunsi; Friday Okonofua; Josef Parnas; Leslie O Schulz; Olga V Zhukova; Judith R Kidd
Journal:  Forensic Sci Int       Date:  2005-12-19       Impact factor: 2.395

3.  Gene admixture in ethnic populations in upper part of Silk Road revealed by mtDNA polymorphism.

Authors:  LiuQi Yang; SiJie Tan; HaiJing Yu; BingRong Zheng; EnFa Qiao; YongLi Dong; RuiGuang Zan; ChunJie Xiao
Journal:  Sci China C Life Sci       Date:  2008-05

4.  A single-tube 27-plex SNP assay for estimating individual ancestry and admixture from three continents.

Authors:  Yi-Liang Wei; Li Wei; Lei Zhao; Qi-Fan Sun; Li Jiang; Tao Zhang; Hai-Bo Liu; Jian-Gang Chen; Jian Ye; Lan Hu; Cai-Xia Li
Journal:  Int J Legal Med       Date:  2015-04-02       Impact factor: 2.686

5.  Forensic application of SNP-based resequencing array for individual identification.

Authors:  Sohee Cho; Hyung Jin Yu; Jisung Han; Yoonsoo Kim; Jihyun Lee; Soong Deok Lee
Journal:  Forensic Sci Int Genet       Date:  2014-07-10       Impact factor: 4.882

6.  Mitochondrial DNA variation in Tajiks living in Tajikistan.

Authors:  Igor V Ovchinnikov; Mathew J Malek; Kenneth Drees; Olga I Kholina
Journal:  Leg Med (Tokyo)       Date:  2014-08-10       Impact factor: 1.376

7.  Building a forensic ancestry panel from the ground up: The EUROFORGEN Global AIM-SNP set.

Authors:  C Phillips; W Parson; B Lundsberg; C Santos; A Freire-Aradas; M Torres; M Eduardoff; C Børsting; P Johansen; M Fondevila; N Morling; P Schneider; A Carracedo; M V Lareu
Journal:  Forensic Sci Int Genet       Date:  2014-02-25       Impact factor: 4.882

8.  A panel of 74 AISNPs: Improved ancestry inference within Eastern Asia.

Authors:  Cai-Xia Li; Andrew J Pakstis; Li Jiang; Yi-Liang Wei; Qi-Fan Sun; Hong Wu; Ozlem Bulbul; Ping Wang; Long-Li Kang; Judith R Kidd; Kenneth K Kidd
Journal:  Forensic Sci Int Genet       Date:  2016-04-04       Impact factor: 4.882

Review 9.  Forensic genetic analysis of bio-geographical ancestry.

Authors:  Chris Phillips
Journal:  Forensic Sci Int Genet       Date:  2015-05-19       Impact factor: 4.882

10.  Development of a panel of genome-wide ancestry informative markers to study admixture throughout the Americas.

Authors:  Joshua Mark Galanter; Juan Carlos Fernandez-Lopez; Christopher R Gignoux; Jill Barnholtz-Sloan; Ceres Fernandez-Rozadilla; Marc Via; Alfredo Hidalgo-Miranda; Alejandra V Contreras; Laura Uribe Figueroa; Paola Raska; Gerardo Jimenez-Sanchez; Irma Silva Zolezzi; Maria Torres; Clara Ruiz Ponte; Yarimar Ruiz; Antonio Salas; Elizabeth Nguyen; Celeste Eng; Lisbeth Borjas; William Zabala; Guillermo Barreto; Fernando Rondón González; Adriana Ibarra; Patricia Taboada; Liliana Porras; Fabián Moreno; Abigail Bigham; Gerardo Gutierrez; Tom Brutsaert; Fabiola León-Velarde; Lorna G Moore; Enrique Vargas; Miguel Cruz; Jorge Escobedo; José Rodriguez-Santana; William Rodriguez-Cintrón; Rocio Chapela; Jean G Ford; Carlos Bustamante; Daniela Seminara; Mark Shriver; Elad Ziv; Esteban Gonzalez Burchard; Robert Haile; Esteban Parra; Angel Carracedo
Journal:  PLoS Genet       Date:  2012-03-08       Impact factor: 5.917

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  1 in total

1.  Developmental validation of the MGIEasy Signature Identification Library Prep Kit, an all-in-one multiplex system for forensic applications.

Authors:  Ran Li; Xuefeng Shen; Hui Chen; Dan Peng; Riga Wu; Hongyu Sun
Journal:  Int J Legal Med       Date:  2021-02-01       Impact factor: 2.686

  1 in total

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