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Wan W, Zhang H, Ren Z, Wang Q, Liu Y, Ji J, Yang M, Zhang H, Huang J, Jin X. Systematic selection of ancestry informative SNPs for differentiating Han, Japanese, Dai, and Kinh populations. Electrophoresis 2023; 44:1405-1413. [PMID: 37326449 DOI: 10.1002/elps.202200292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 05/05/2023] [Accepted: 06/03/2023] [Indexed: 06/17/2023]
Abstract
Biogeographical origin inferences of different populations can provide valuable clues in the forensic investigation by narrowing down the detection scope. However, much research mainly focuses on forensic ancestral origin analyses of major continental populations, which may provide limited information in forensic practice. To improve the ancestral resolution of East Asian populations, we systematically selected ancestry informative single-nucleotide polymorphisms (AISNPs) for differentiating Han, Dai, Japanese, and Kinh populations. In addition, we evaluated the performance of the selected AISNPs to differentiate these populations via multiple methods. Totally 116 AISNPs were selected from the genome-wide data to infer the population origins of these four populations. Results of principle component analysis and population genetic structure of these populations indicated that the selected 116 AISNPs could achieve ancestral resolution of most individuals. Furthermore, the machine learning model built by 116 AISNPs unveiled that most individuals from these four populations could be assigned to correct population origins. To sum up, the selected 116 SNPs could be available for ancestral origin predictions of Han, Dai, Japanese, and Kinh populations, which could provide valuable information for forensic research and genome-wide association study in East Asian populations to some extent.
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Affiliation(s)
- Wen Wan
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
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Barbarić L, Horjan-Zanki I. Challenges in the recovery of the genetic data from human remains found on the Western Balkan migration route. Int J Legal Med 2023; 137:181-193. [PMID: 35449468 DOI: 10.1007/s00414-022-02829-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 04/13/2022] [Indexed: 01/11/2023]
Abstract
Traditional DNA-based identification of human remains relies on the system of matching STR profile of the deceased with the family references or antemortem samples. In forensic cases without any available samples for the comparison, the body remains unidentified. The aim of this study was to assess the applicability of massively parallel sequencing (MPS) approach in the forensic cases of five drowned individuals recovered on the Western Balkan migration route. Besides capillary electrophoresis (CE)-based genetic profiling (aSTR, Y STR, and mitochondrial control region sequencing) of postmortem samples, we applied ForenSeq DNA Signature Prep Kit/Primer Mix B on MiSeqFGx platform and concomitant ForenSeq Universal Analysis (UAS) software. The assay showed high reproducibility and complete concordance with CE-based data except in locus DYF387S1. Allele and locus drop was evident in 2.9% of total SNPs that slightly reduced the completeness of the data. We endeavored to predict the phenotype of the tested samples and accurate biogeographical ancestry of European individual. UAS was less informative for the remaining samples assigned to Admixed American cluster. Nevertheless, the application of FROG-kb and Snipper tools along with admixture analysis in STRUCTURE and lineage markers revealed likely Middle Eastern and North African ancestry. We conclude that the combination of the phenotype and biogeographical ancestry predictions, including paternal and maternal genetic ancestry, represent a promising tool for humanitarian identification of dead migrants. Nevertheless, the data interpretation remains a challenging task.
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Affiliation(s)
- Lucija Barbarić
- Forensic Science Centre "Ivan Vučetić, " Ministry of the Interior, Ilica 335, 10000, Zagreb, Croatia.
| | - Ivana Horjan-Zanki
- Forensic Science Centre "Ivan Vučetić, " Ministry of the Interior, Ilica 335, 10000, Zagreb, Croatia
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The rights of migrants to the identification of their dead: an attempt at an identification strategy from Italy. Int J Legal Med 2023; 137:145-156. [PMID: 35277774 PMCID: PMC9816290 DOI: 10.1007/s00414-022-02778-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 01/15/2022] [Indexed: 01/11/2023]
Abstract
Europe is turning a blind eye on a humanitarian disaster unfolding at its doorsteps, with thousands of migrants dying unidentified in Mediterranean waters. Since 2014, Italy has been struggling in an almost indifferent international scenario to identify its dead migrants. Despite the lack of sufficient resources, of the difficulties in collecting post mortem data from the disseminated bodies, and of the problems of contacting and collecting ante mortem information from relatives, it has been proven, with a series of pilot studies, that not only can these bodies be identified but that relatives are also looking for their loved ones and need death certificates. This article focuses on the administrative limbo and lack of regulations obliging single states to engage in appropriate procedures to maximise identification.
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A reference database of forensic autosomal and gonosomal STR markers in the Tigray population of Ethiopia. Forensic Sci Int Genet 2021; 56:102618. [PMID: 34735940 DOI: 10.1016/j.fsigen.2021.102618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/31/2021] [Accepted: 10/20/2021] [Indexed: 11/20/2022]
Abstract
Allele frequencies of 21 autosomal STR markers (AmpF/STR GlobalFiler) and haplotype frequencies of 27 Y- and 12 X-STR markers (AmpF/STR YFiler Plus and Investigator Argus X-12, respectively) were investigated in the Tigray population of Ethiopia, representing the main population group in the Tigray regional state of Ethiopia and neighboring Eritrea. For autosomal STR allele frequencies, the average random match probability in the Tigray sample was 2.1 × 10-27. The average locus by locus FST distance calculated comparing autosomal STR allele frequencies from Tigray and from a broad regional reference dataset currently available for the Horn of Africa was 0.003. The Tigray male sample displayed high Y-STR diversity, with complete individualization of haplotypes using the AmpF/STR YFiler Plus panel. Analysis of molecular variance did not detect significant heterogeneity between Y-STR haplotypes observed in the present study and those previously reported in the literature for other Tigray population samples from Ethiopia and Eritrea. Study of the X-STR landscape in Tigray evidenced several distinctive features including: the molecular characterization of a novel null allele at locus DXS10146 with frequency > 1%; allele dependency between loci within linkage groups I and III; significant differences in haplotype distribution compared to other Horn of Africa populations, that should be taken into account in kinship analysis. The collected data can be used as a reference STR database by local forensic genetics services and in genetic identification procedures of victims of human trafficking in the Mediterranean Sea, which frequently involve individuals originating from the Horn of Africa.
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The analysis of ancestry with small-scale forensic panels of genetic markers. Emerg Top Life Sci 2021; 5:443-453. [PMID: 33949669 DOI: 10.1042/etls20200327] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/07/2021] [Accepted: 04/19/2021] [Indexed: 11/17/2022]
Abstract
In the last 10 years, forensic genetic analysis has been extended beyond identification tests that link a suspect to crime scene evidence using standard DNA profiling, to new supplementary tests that can provide information to investigators about a suspect in the absence of a database hit or eyewitness testimony. These tests now encompass the prediction of physical appearance, ancestry and age. In this review, we give a comprehensive overview of the full range of DNA-based ancestry inference tests designed to work with forensic contact traces, when the level of DNA is often very low or highly degraded. We outline recent developments in the design of ancestry-informative marker sets, forensic assays that use capillary electrophoresis or massively parallel sequencing, and the statistical analysis frameworks that examine the test profile and compares it to reference population variation. Three casework ancestry analysis examples are described which were successfully accomplished in the authors' laboratory, where the ancestry information obtained was critical to the outcome of the DNA analyses made.
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Zhang W, Jin X, Wang Y, Chen C, Zhu B. Genetic structure analyses and ancestral information inference of Chinese Kyrgyz group via a panel of 39 AIM-DIPs. Genomics 2021; 113:2056-2064. [PMID: 33711452 DOI: 10.1016/j.ygeno.2021.03.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 10/18/2020] [Accepted: 03/05/2021] [Indexed: 11/29/2022]
Abstract
Ancestry informative markers have extensive uses and advantages in inferring ancestral origins and estimating ancestral genetic information components of admixed populations. With the characteristics of highly cultural exchange and the admixed genetic structure of the Kyrgyz group, it is essential to enrich the genetic data of the Kyrgyz group. In this study, we used a self-developed ancestry informative marker-deletion/insertion polymorphic (AIM-DIP) panel to explore ancestral components of Chinese Kyrgyz group and population genetic relationships between the Kyrgyz group and reference populations. Results showed that all AIM-DIP loci were conformed to Hardy-Weinberg equilibrium. There were 36 AIM-DIP loci that contributed significantly to genetic information inference. Multiple statistical analyses revealed that Chinese Kyrgyz group had a closer genetic relationship with Chinese Uyghur group. The ancestral components of the Kyrgyz group, being mostly composed of genetic components of European and East Asian populations, were more similar to the ancestral components of Chinese Uyghur group.
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Affiliation(s)
- Wenqing Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - Xiaoye Jin
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; College of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Yijie Wang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - Chong Chen
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; College of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Bofeng Zhu
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
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