Evidence map›Paper›PMID 29882060›Full record

ArticleInternational journal of legal medicine2019

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

Wei-Qi Hao, Jing Liu, Li Jiang, Jun-Ping Han, Ling Wang, Jiu-Ling Li, Quan Ma, Chao Liu, Hui-Jun Wang, Cai-Xia Li

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In one paragraph

Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Wei-Qi HaoInstitute of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Jing LiuBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China.
Li JiangBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China.
Jun-Ping HanBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China.
Ling WangBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China.
Jiu-Ling LiBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China.ORCID http://orcid.org/0000-0002-2059-5609
Quan MaBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China.
Chao LiuInstitute of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China. liuchaozf@163.com.
Hui-Jun WangInstitute of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China. hjwang@smu.edu.cn.
Cai-Xia LiBeijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing, 100038, People's Republic of China. licaixia@tsinghua.org.cn.

Funding

basic research project 2016JB039basic research project 2016TGYDGAES14basic research project 2017JB026National Key Research and Development Program of China 2017YFC0803501
6 · The paper itself

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.

Indexed as

Forensic GeneticsGene FrequencyGenetics, PopulationGenetic VariationGenotypeHumansMultiplex Polymerase Chain ReactionRacial GroupsAIMsCompound amplificationForensic geneticsGenetics structure analysis

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.