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Zeng K, Zhao D. Genetic polymorphism analysis and forensic application evaluation of 57 insertion/deletion polymorphisms from Yi ethnic group in Yunnan. Ann Hum Biol 2024; 51:1-9. [PMID: 38251838 DOI: 10.1080/03014460.2023.2294743] [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: 05/23/2023] [Accepted: 11/29/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND As a new kind of diallelic genetic marker, insertion/deletion (InDel) polymorphisms have recently been used in forensic science. However, there are relatively few studies on the forensic evaluation of InDel genetic polymorphisms from different populations. AIM The aim of the present work is to assess the genetic polymorphism and forensic applicability of 57 InDels from the Yi ethnic group and explore the genetic background of this group. SUBJECTS AND METHODS A total sample of 122 unrelated individuals of Yi group from the Yunnan province were genotyped by the AGCU indel 60 Kit. Multiplex population genetic analyses on the same 57 InDels were carried out among the Yunnan Yi group and 29 reference populations. RESULTS The average allele frequency of these loci in the Yi ethnic group was 0.485. Heterozygosity, polymorphism information content, and the power of discrimination were 0.477, 0.362, and 0.612, respectively. The combined power of discrimination and the combined power of exclusion reached to 0.99999999999999999669 and 0.999962965, respectively. The results showed that 57 InDels polymorphisms have high genetic polymorphisms in the Yi ethnic group. CONCLUSIONS The 57 InDels could be used for forensic individual identification, paternity testing, and intercontinental population discrimination, with the potential for use in biogeographic ancestry inference.
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Affiliation(s)
- Kuo Zeng
- Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, China
| | - Dong Zhao
- Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, China
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2
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Kayser M, Branicki W, Parson W, Phillips C. Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age. Forensic Sci Int Genet 2023; 65:102870. [PMID: 37084623 DOI: 10.1016/j.fsigen.2023.102870] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/04/2023] [Indexed: 04/09/2023]
Abstract
Forensic DNA Phenotyping (FDP) comprises the prediction of a person's externally visible characteristics regarding appearance, biogeographic ancestry and age from DNA of crime scene samples, to provide investigative leads to help find unknown perpetrators that cannot be identified with forensic STR-profiling. In recent years, FDP has advanced considerably in all of its three components, which we summarize in this review article. Appearance prediction from DNA has broadened beyond eye, hair and skin color to additionally comprise other traits such as eyebrow color, freckles, hair structure, hair loss in men, and tall stature. Biogeographic ancestry inference from DNA has progressed from continental ancestry to sub-continental ancestry detection and the resolving of co-ancestry patterns in genetically admixed individuals. Age estimation from DNA has widened beyond blood to more somatic tissues such as saliva and bones as well as new markers and tools for semen. Technological progress has allowed forensically suitable DNA technology with largely increased multiplex capacity for the simultaneous analysis of hundreds of DNA predictors with targeted massively parallel sequencing (MPS). Forensically validated MPS-based FDP tools for predicting from crime scene DNA i) several appearance traits, ii) multi-regional ancestry, iii) several appearance traits together with multi-regional ancestry, and iv) age from different tissue types, are already available. Despite recent advances that will likely increase the impact of FDP in criminal casework in the near future, moving reliable appearance, ancestry and age prediction from crime scene DNA to the level of detail and accuracy police investigators may desire, requires further intensified scientific research together with technical developments and forensic validations as well as the necessary funding.
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Affiliation(s)
- Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
| | - Wojciech Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland,; Institute of Forensic Research, Kraków, Poland
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, PA, USA
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
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3
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Pilli E, Morelli S, Poggiali B, Alladio E. Biogeographical ancestry, variable selection, and PLS-DA method: a new panel to assess ancestry in forensic samples via MPS technology. Forensic Sci Int Genet 2023; 62:102806. [PMID: 36399972 DOI: 10.1016/j.fsigen.2022.102806] [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: 07/18/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 11/14/2022]
Abstract
As evidenced by the large number of articles recently published in the literature, forensic scientists are making great efforts to infer externally visible features and biogeographical ancestry (BGA) from DNA analysis. Just as phenotypic, ancestry information obtained from DNA can provide investigative leads to identify the victims (missing/unidentified persons, crime/armed conflict/mass disaster victims) or trace their perpetrators when no matches were found with the reference profile or in the database. Recently, the advent of Massively Parallel Sequencing technologies associated with the possibility of harnessing high-throughput genetic data allowed us to investigate the associations between phenotypic and genomic variations in worldwide human populations and develop new BGA forensic tools capable of simultaneously analyzing up to millions of markers if for example the ancient DNA approach of hybridization capture was adopted to target SNPs of interest. In the present study, a selection of more than 3000 SNPs was performed to create a new BGA panel and the accuracy of the new panel to infer ancestry from unknown samples was evaluated by the PLS-DA method. Subsequently, the panel created was assessed using three variable selection techniques (Backward variable elimination, Genetic Algorithm and Regularized elimination procedure), and the best SNPs in terms of inferring bio-geographical ancestry at inter- and intra-continental level were selected to obtain panels to predict BGA with a reduced number of selected markers to be applied in routine forensic cases where PCR amplification is the best choice to target SNPs.
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Affiliation(s)
- Elena Pilli
- Department of Biology, Forensic Molecular Anthropology Laboratory, University of Florence, Florence, Italy
| | - Stefania Morelli
- Department of Biology, Forensic Molecular Anthropology Laboratory, University of Florence, Florence, Italy
| | - Brando Poggiali
- Department of Biology, Forensic Molecular Anthropology Laboratory, University of Florence, Florence, Italy
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Diepenbroek M, Bayer B, Anslinger K. Pushing the Boundaries: Forensic DNA Phenotyping Challenged by Single-Cell Sequencing. Genes (Basel) 2021; 12:genes12091362. [PMID: 34573344 PMCID: PMC8466929 DOI: 10.3390/genes12091362] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/24/2021] [Accepted: 08/27/2021] [Indexed: 12/26/2022] Open
Abstract
Single-cell sequencing is a fast developing and very promising field; however, it is not commonly used in forensics. The main motivation behind introducing this technology into forensics is to improve mixture deconvolution, especially when a trace consists of the same cell type. Successful studies demonstrate the ability to analyze a mixture by separating single cells and obtaining CE-based STR profiles. This indicates a potential use of the method in other forensic investigations, like forensic DNA phenotyping, in which using mixed traces is not fully recommended. For this study, we collected single-source autopsy blood from which the white cells were first stained and later separated with the DEPArray™ N×T System. Groups of 20, 10, and 5 cells, as well as 20 single cells, were collected and submitted for DNA extraction. Libraries were prepared using the Ion AmpliSeq™ PhenoTrivium Panel, which includes both phenotype (HIrisPlex-S: eye, hair, and skin color) and ancestry-associated SNP-markers. Prior to sequencing, half of the single-cell-based libraries were additionally amplified and purified in order to improve the library concentrations. Ancestry and phenotype analysis resulted in nearly full consensus profiles resulting in correct predictions not only for the cells groups but also for the ten re-amplified single-cell libraries. Our results suggest that sequencing of single cells can be a promising tool used to deconvolute mixed traces submitted for forensic DNA phenotyping.
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5
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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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6
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Linacre A. Animal Forensic Genetics. Genes (Basel) 2021; 12:genes12040515. [PMID: 33916063 PMCID: PMC8066154 DOI: 10.3390/genes12040515] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 03/28/2021] [Accepted: 03/29/2021] [Indexed: 12/27/2022] Open
Abstract
Animal forensic genetics, where the focus is on non-human species, is broadly divided in two: domestic species and wildlife. When traces of a domestic species are relevant to a forensic investigation the question of species identification is less important, as the material comes from either a dog or a cat for instance, but more relevant may be the identification of the actual pet. Identification of a specific animal draws on similar methods to those used in human identification by using microsatellite markers. The use of cat short tandem repeats to link a cat hair to a particular cat paved the way for similar identification of dogs. Wildlife forensic science is becoming accepted as a recognised discipline. There is growing acceptance that the illegal trade in wildlife is having devasting effects on the numbers of iconic species. Loci on the mitochondrial genome are used to identify the most likely species present. Sequencing the whole locus may not be needed if specific bases can be targeted. There can be benefits of increased sensitivity using mitochondrial loci for species testing, but occasionally there is an issue if hybrids are present. The use of massively parallel DNA sequencing has a role in the identification of the ingredients of traditional medicines where studies found protected species to be present, and a potential role in future species assignments. Non-human animal forensic testing can play a key role in investigations provided that it is performed to the same standards as all other DNA profiling processes.
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Affiliation(s)
- Adrian Linacre
- College of Science & Engineering, Flinders University, Adelaide, SA 5042, Australia
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Comparison of the Allelic Alterations between InDel and STR Markers in Tumoral Tissues Used for Forensic Purposes. ACTA ACUST UNITED AC 2021; 57:medicina57030226. [PMID: 33801242 PMCID: PMC8002019 DOI: 10.3390/medicina57030226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 11/19/2022]
Abstract
Background and objectives: Over the last two decades, human DNA identification and kinship tests have been conducted mainly through the analysis of short tandem repeats (STRs). However, other types of markers, such as insertion/deletion polymorphisms (InDels), may be required when DNA is highly degraded. In forensic genetics, tumor samples may sometimes be used in some cases of human DNA identification and in paternity tests. Nevertheless, tumor genomic instability related to forensic DNA markers should be considered in forensic analyses since it can compromise genotype attribution. Therefore, it is useful to know what impact tumor transformation may have on the forensic interpretation of the results obtained from the analysis of these polymorphisms. Materials and Methods: The aim of this study was to investigate the genomic instability of InDels and STRs through the analysis of 55 markers in healthy tissue and tumor samples (hepatic, gastric, breast, and colorectal cancer) in 66 patients. The evaluation of genomic instability was performed comparing InDel and STR genotypes of tumor samples with those of their healthy counterparts. Results: With regard to STRs, colorectal cancer was found to be the tumor type affected by the highest number of mutations, whereas in the case of InDels the amount of genetic mutations turned out to be independent of the tumor type. However, the phenomena of genomic instability, such as loss of heterozygosity (LOH) and microsatellite instability (MSI), seem to affect InDels more than STRs hampering genotype attribution. Conclusion: We suggest that the use of STRs rather than InDels could be more suitable in forensic genotyping analyses given that InDels seem to be more affected than STRs by mutation events capable of compromising genotype attribution.
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Tozzo P, Chiara Frigo A, Caenazzo L. Pitfalls in interpreting autosomal InDel markers profiling: A study on mutations in tumoural specimens. Forensic Sci Int Genet 2020; 51:102429. [PMID: 33248349 DOI: 10.1016/j.fsigen.2020.102429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 11/03/2020] [Accepted: 11/13/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Pamela Tozzo
- Department of Molecular Medicine, Laboratory of Forensic Genetics, University of Padova, Via Falloppio 50, 35121 Padova, Italy.
| | - Anna Chiara Frigo
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Falloppio 50, 35121 Padova, Italy
| | - Luciana Caenazzo
- Department of Molecular Medicine, Laboratory of Forensic Genetics, University of Padova, Via Falloppio 50, 35121 Padova, Italy
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9
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Characterization of ancestry informative markers in the Tigray population of Ethiopia: A contribution to the identification process of dead migrants in the Mediterranean Sea. Forensic Sci Int Genet 2020; 45:102207. [DOI: 10.1016/j.fsigen.2019.102207] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 11/16/2019] [Accepted: 11/19/2019] [Indexed: 01/16/2023]
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10
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Cortellini V, Brescia G, Carnevali E, Cerri N, Correa HSD, Nespeca P, Severini S, Tommolini F, Tozzo P, Verzeletti A, Caenazzo L. Genetic data and comparative study of 38 autosomal InDel markers in three Italian population groups. Forensic Sci Int Genet 2019; 44:102170. [PMID: 31590060 DOI: 10.1016/j.fsigen.2019.102170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 09/25/2019] [Accepted: 09/29/2019] [Indexed: 01/04/2023]
Affiliation(s)
- V Cortellini
- University of Brescia - Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Forensic Medicine Unit, Brescia, Italy.
| | - G Brescia
- University of Brescia - Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Forensic Medicine Unit, Brescia, Italy
| | - E Carnevali
- University of Perugia, S. Maria Hospital, Department of Biomedical and Surgical Science, Section of Legal Medicine and Forensic Science, Terni, Italy
| | - N Cerri
- University of Brescia - Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Forensic Medicine Unit, Brescia, Italy
| | - H S D Correa
- University of Brescia - Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Forensic Medicine Unit, Brescia, Italy
| | - P Nespeca
- University of Padua, Department of Molecular Medicine, Padua, Italy
| | - S Severini
- University of Perugia, S. Maria Hospital, Department of Biomedical and Surgical Science, Section of Legal Medicine and Forensic Science, Terni, Italy
| | - F Tommolini
- University of Perugia, S. Maria Hospital, Department of Biomedical and Surgical Science, Section of Legal Medicine and Forensic Science, Terni, Italy
| | - P Tozzo
- University of Padua, Department of Molecular Medicine, Padua, Italy
| | - A Verzeletti
- University of Brescia - Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Forensic Medicine Unit, Brescia, Italy
| | - L Caenazzo
- University of Padua, Department of Molecular Medicine, Padua, Italy
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11
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Ren P, Liu J, Zhao H, Fan XP, Xu YC, Li CX. Construction of a rapid microfluidic-based SNP genotyping (MSG) chip for ancestry inference. Forensic Sci Int Genet 2019; 41:145-151. [DOI: 10.1016/j.fsigen.2019.04.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 04/27/2019] [Accepted: 04/28/2019] [Indexed: 01/20/2023]
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12
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England R, Harbison S. A review of the method and validation of the MiSeq FGx™ Forensic Genomics Solution. ACTA ACUST UNITED AC 2019. [DOI: 10.1002/wfs2.1351] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Ryan England
- Forensic Science Program, School of Chemical Sciences University of Auckland Auckland New Zealand
| | - Sallyann Harbison
- Institute of Environmental Science and Research Ltd Auckland New Zealand
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13
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Parolin ML, Toscanini UF, Velázquez IF, Llull C, Berardi GL, Holley A, Tamburrini C, Avena S, Carnese FR, Lanata JL, Sánchez Carnero N, Arce LF, Basso NG, Pereira R, Gusmão L. Genetic admixture patterns in Argentinian Patagonia. PLoS One 2019; 14:e0214830. [PMID: 31206551 PMCID: PMC6576754 DOI: 10.1371/journal.pone.0214830] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 06/03/2019] [Indexed: 12/21/2022] Open
Abstract
As in other Latin American populations, Argentinians are the result of the admixture amongst different continental groups, mainly from America and Europe, and to a lesser extent from Sub-Saharan Africa. However, it is known that the admixture processes did not occur homogeneously throughout the country. Therefore, considering the importance for anthropological, medical and forensic researches, this study aimed to investigate the population genetic structure of the Argentinian Patagonia, through the analysis of 46 ancestry informative markers, in 433 individuals from five different localities. Overall, in the Patagonian sample, the average individual ancestry was estimated as 35.8% Native American (95% CI: 32.2–39.4%), 62.1% European (58.5–65.7%) and 2.1% African (1.7–2.4%). Comparing the five localities studied, statistically significant differences were observed for the Native American and European contributions, but not for the African ancestry. The admixture results combined with the genealogical information revealed intra-regional variations that are consistent with the different geographic origin of the participants and their ancestors. As expected, a high European ancestry was observed for donors with four grandparents born in Europe (96.8%) or in the Central region of Argentina (85%). In contrast, the Native American ancestry increased when the four grandparents were born in the North (71%) or in the South (61.9%) regions of the country, or even in Chile (60.5%). In summary, our results showed that differences on continental ancestry contribution have different origins in each region in Patagonia, and even in each locality, highlighting the importance of knowing the origin of the participants and their ancestors for the correct interpretation and contextualization of the genetic information.
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Affiliation(s)
- María Laura Parolin
- Instituto de Diversidad y Evolución Austral (IDEAus), CCT CONICET-CENPAT, Puerto Madryn, Argentina
- * E-mail:
| | - Ulises F. Toscanini
- Primer Centro Argentino de Inmunogenética (PRICAI), Fundación Favaloro, Buenos Aires, Argentina
| | - Irina F. Velázquez
- Instituto de Diversidad y Evolución Austral (IDEAus), CCT CONICET-CENPAT, Puerto Madryn, Argentina
| | - Cintia Llull
- Primer Centro Argentino de Inmunogenética (PRICAI), Fundación Favaloro, Buenos Aires, Argentina
| | - Gabriela L. Berardi
- Primer Centro Argentino de Inmunogenética (PRICAI), Fundación Favaloro, Buenos Aires, Argentina
| | - Alfredo Holley
- Instituto de Diversidad y Evolución Austral (IDEAus), CCT CONICET-CENPAT, Puerto Madryn, Argentina
| | - Camila Tamburrini
- Instituto de Diversidad y Evolución Austral (IDEAus), CCT CONICET-CENPAT, Puerto Madryn, Argentina
| | - Sergio Avena
- Instituto de Ciencias Antropológicas (ICA), Facultad de Filosofía y Letras, Universidad de Buenos Aires, Buenos Aires, Argentina
- Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y Diagnóstico (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
| | - Francisco R. Carnese
- Instituto de Ciencias Antropológicas (ICA), Facultad de Filosofía y Letras, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - José L. Lanata
- Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio (IIDyPCa), CONICET-UNRN, San Carlos de Bariloche, Argentina
| | - Noela Sánchez Carnero
- Centro para el Estudio de Sistemas Marinos (CECIMAR), CCT CONICET-CENPAT, Puerto Madryn, Argentina
| | - Lucas F. Arce
- Instituto de Diversidad y Evolución Austral (IDEAus), CCT CONICET-CENPAT, Puerto Madryn, Argentina
| | - Néstor G. Basso
- Instituto de Diversidad y Evolución Austral (IDEAus), CCT CONICET-CENPAT, Puerto Madryn, Argentina
| | - Rui Pereira
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Leonor Gusmão
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
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Hao WQ, Liu J, Jiang L, Han JP, Wang L, Li JL, Ma Q, Liu C, Wang HJ, Li CX. Exploring the ancestry differentiation and inference capacity of the 28-plex AISNPs. Int J Legal Med 2018; 133:975-982. [PMID: 29882060 DOI: 10.1007/s00414-018-1863-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 05/14/2018] [Indexed: 01/05/2023]
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.
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Affiliation(s)
- Wei-Qi Hao
- Institute of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Beijing 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
| | - Jing Liu
- Beijing 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 Jiang
- Beijing 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 Han
- Beijing 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
- Technology Department of Chaoyang Sub-bureau, Beijing Public Security Bureau, Beijing, 100102, China
| | - Ling Wang
- Beijing 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 Li
- Beijing 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
| | - Quan Ma
- Beijing 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 Liu
- Institute of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
- Guangdong Province Key Laboratory of Forensic Genetics, Guangzhou Forensic Science Institute, Guangzhou, 510030, Guangdong, China.
| | - Hui-Jun Wang
- Institute of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
| | - Cai-Xia Li
- Beijing 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.
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15
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A GHEP-ISFG collaborative study on the genetic variation of 38 autosomal indels for human identification in different continental populations. Forensic Sci Int Genet 2017; 32:18-25. [PMID: 29024923 DOI: 10.1016/j.fsigen.2017.09.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 09/09/2017] [Accepted: 09/21/2017] [Indexed: 02/08/2023]
Abstract
A collaborative effort was carried out by the Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) to promote knowledge exchange between associate laboratories interested in the implementation of indel-based methodologies and build allele frequency databases of 38 indels for forensic applications. These databases include populations from different countries that are relevant for identification and kinship investigations undertaken by the participating laboratories. Before compiling population data, participants were asked to type the 38 indels in blind samples from annual GHEP-ISFG proficiency tests, using an amplification protocol previously described. Only laboratories that reported correct results contributed with population data to this study. A total of 5839 samples were genotyped from 45 different populations from Africa, America, East Asia, Europe and Middle East. Population differentiation analysis showed significant differences between most populations studied from Africa and America, as well as between two Asian populations from China and East Timor. Low FST values were detected among most European populations. Overall diversities and parameters of forensic efficiency were high in populations from all continents.
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16
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Lim S, Youn JP, Hong S, Choi D, Moon S, Kim W, Han M, Hwang SY. Customized multiplexing SNP panel for Korean-specific DNA phenotyping in forensic applications. Genes Genomics 2017. [DOI: 10.1007/s13258-016-0509-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Sun Q, Jiang L, Zhang G, Liu J, Zhao L, Zhao W, Li C. Twenty-seven continental ancestry-informative SNP analysis of bone remains to resolve a forensic case. Forensic Sci Res 2017; 4:364-366. [PMID: 32002497 PMCID: PMC6968571 DOI: 10.1080/20961790.2017.1306431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 02/22/2017] [Indexed: 12/30/2022] Open
Abstract
We employed our previously developed 27-plex ancestry-informative single nucleotide polymorphism (SNP) panel to infer the ancestral components of bone remains of a possible foreign pilot found in south-western China. For ancestry assignment of this unknown individual, we first obtained the 27-SNP genotype of the individual. Then, based on a reference database of 3081 individuals from 33 populations, we calculated the match probability and likelihood ratio using the self-developed software program Forensic Intelligence. Inferred ancestral components of this individual were calculated by structure at K = 3. A complete profile was obtained for the individual using our multiplexed SNP assay. The European population was within one order of magnitude of the highest likelihood. The major ancestral component of this individual was 97.6% European.
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Affiliation(s)
- Qifan Sun
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Li Jiang
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Guangfeng Zhang
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Jing Liu
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Lei Zhao
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Wenting Zhao
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Caixia Li
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China
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18
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Forensically relevant SNaPshot® assays for human DNA SNP analysis: a review. Int J Legal Med 2016; 131:21-37. [DOI: 10.1007/s00414-016-1490-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 10/31/2016] [Indexed: 10/20/2022]
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19
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A panel of 74 AISNPs: Improved ancestry inference within Eastern Asia. Forensic Sci Int Genet 2016; 23:101-110. [DOI: 10.1016/j.fsigen.2016.04.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 02/17/2016] [Accepted: 04/01/2016] [Indexed: 02/04/2023]
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20
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冯 杏, 孙 启, 刘 宏, 魏 以, 杜 蔚, 李 彩, 陈 玲, 刘 超. [Efficiency of 27-plex single nucleotide polymorphism multiplex system for ancestry inference in different populations]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2016; 37:555-562. [PMID: 28446414 PMCID: PMC6744106 DOI: 10.3969/j.issn.1673-4254.2017.04.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To validate the efficiency of 27-plex single nucleotide polymorphism (SNP) multiplex system for ancestry inference. METHODS The 27-plex SNP system was validated for its sensitivity and species specificity. A total of 533 samples were collected from African, Southern Chinese Han, China's ethic minorities (Yi, Hui, Miao, Tibet, and Uygur), European, Central Asian, Western Asian, Southern Asian, Southeast Asian and South American populations for clustering analysis of the genotypes by citing 3 representative continental ancestral groups [East Asia (CHB), Europe (CEU), and Africa (YRI)] from HapMap database. RESULTS The system sensitivity is 0.125 ng. Twenty and six genotypes were detected in chimpanzee and monkeys, respectively. Except in rs10496971, no more products were found in other animals. The system was capable of differentiating intercontinental populations but not of distinguishing between East Asian and Southeast Asian population or between Southern Chinese Han population and Chinese Ethnic populations (Hui, Miao, Yi and Tibet). This system achieved a 100% accuracy for intercontinental population source inference for 46 blind test samples. CONCLUSION 27-plex SNPs multiplex system has a high sensitivity and species specificity and can correctly differentiate the ancestry origins of individuals from African, European and East Asian for criminal case investigation. But this system is not capable of distinguishing subpopulation groups and more specific ancestry-informative markers are needed to improve its recognition of Southeast Asian and Chinese ethnic populations.
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Affiliation(s)
- 杏玲 冯
- 南方医科大学法医学院,广东 广州 510515School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - 启凡 孙
- 公安部物证鉴定中心//现场物证溯源国家工程实验室//法医遗传学公安部重点实验室,北京 100038National Engineering Laboratory for Crime Scene Evidence Examination, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Beijing 100038, China
| | - 宏 刘
- 广州市刑事科学技术研究所//广东省法医遗传学重点实验室,广东 广州 510030Guangzhou Institute of Criminal Science and Technology/Key Laboratory of Forensic Pathology of Ministry of Public Security, Guangzhou 510030, China
| | - 以梁 魏
- 天津医科大学,天津 300070Tianjin Medical University, Tianjin 300070, China
| | - 蔚安 杜
- 南方医科大学法医学院,广东 广州 510515School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - 彩霞 李
- 公安部物证鉴定中心//现场物证溯源国家工程实验室//法医遗传学公安部重点实验室,北京 100038National Engineering Laboratory for Crime Scene Evidence Examination, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Beijing 100038, China
| | - 玲 陈
- 南方医科大学法医学院,广东 广州 510515School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - 超 刘
- 南方医科大学法医学院,广东 广州 510515School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
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de la Puente M, Santos C, Fondevila M, Manzo L, Carracedo Á, Lareu MV, Phillips C. The Global AIMs Nano set: A 31-plex SNaPshot assay of ancestry-informative SNPs. Forensic Sci Int Genet 2016; 22:81-88. [PMID: 26881328 DOI: 10.1016/j.fsigen.2016.01.015] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 01/06/2023]
Abstract
A 31-plex SNaPshot assay, named 'Global AIMs Nano', has been developed by reassembling the most differentiated markers of the EUROFORGEN Global AIM-SNP set. The SNPs include three tri-allelic loci and were selected with the goal of maintaining a balanced differentiation of: Africans, Europeans, East Asians, Oceanians and Native Americans. The Global AIMs Nano SNP set provides higher divergence between each of the five continental population groups than previous small-scale AIM sets developed for forensic ancestry analysis with SNaPshot. Both of these characteristics minimise potential bias when estimating co-ancestry proportions in individuals with admixed ancestry; more likely to be observed when using markers disproportionately informative for only certain population group comparisons. The optimised multiplex is designed to be easily implemented using standard capillary electrophoresis regimes and has been used to successfully genotype challenging forensic samples from highly degraded material with low level DNA. The ancestry predictive performance of the Global AIMs Nano set has been evaluated by the analysis of samples previously characterised with larger AIM sets.
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Affiliation(s)
- M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - C Santos
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - M Fondevila
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - L Manzo
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | | | - Á Carracedo
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain; Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain.
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Yun L, Gao T, Sun K, Gu Y, Hou Y. Comparison of two online algorithm methods for forensic ancestry inference. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2015. [DOI: 10.1016/j.fsigss.2015.09.221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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