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Fan H, Xu Y, Zhao Y, Feng K, Hong L, Zhao Q, Lu X, Shi M, Li H, Wang L, Wen S. Development and validation of YARN: A novel SE-400 MPS kit for East Asian paternal lineage analysis. Forensic Sci Int Genet 2024; 71:103029. [PMID: 38518712 DOI: 10.1016/j.fsigen.2024.103029] [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: 07/29/2023] [Revised: 02/12/2024] [Accepted: 03/03/2024] [Indexed: 03/24/2024]
Abstract
Y-chromosomal short tandem repeat polymorphisms (Y-STRs) and Y-chromosomal single nucleotide polymorphisms (Y-SNPs) are valuable genetic markers used in paternal lineage identification and population genetics. Currently, there is a lack of an effective panel that integrates Y-STRs and Y-SNPs for studying paternal lineages, particularly in East Asian populations. Hence, we developed a novel Y-chromosomal targeted panel called YARN (Y-chromosome Ancestry and Region Network) based on multiplex PCR and a single-end 400 massive parallel sequencing (MPS) strategy, consisting of 44 patrilineage Y-STRs and 260 evolutionary Y-SNPs. A total of 386 reactions were validated for the effectiveness and applicability of YARN according to SWGDAM validation guidelines, including sensitivity (with a minimum input gDNA of 0.125 ng), mixture identification (ranging from 1:1-1:10), PCR inhibitor testing (using substances such as 50 μM hematin, 100 μM hemoglobin, 100 μM humic acid, and 2.5 mM indigo dye), species specificity (successfully distinguishing humans from other animals), repeatability study (achieved 100% accuracy), and concordance study (with 99.91% accuracy for 1121 Y-STR alleles). Furthermore, we conducted a pilot study using YARN in a cohort of 484 Han Chinese males from Huaiji County, Zhaoqing City, Guangdong, China (GDZQHJ cohort). In this cohort, we identified 52 different Y-haplogroups and 73 different surnames. We found weak to moderate correlations between the Y-haplogroups, Chinese surnames, and geographical locations of the GDZQHJ cohort (with λ values ranging from 0.050 to 0.340). However, when we combined two different categories into a new independent variable, we observed stronger correlations (with λ values ranging from 0.617 to 0.754). Overall, the YARN panel, which combines Y-STR and Y-SNP genetic markers, meets forensic DNA quality assurance guidelines and holds potential for East Asian geographical origin inference and paternal lineage analysis.
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Affiliation(s)
- Haoliang Fan
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China; School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
| | - Yiran Xu
- Institute of Archaeological Science, Fudan University, Shanghai 200433, China.
| | - Yutao Zhao
- Public Security Bureau of Zhaoqing Municipality, Zhaoqing 526000, China.
| | - Kai Feng
- Duanzhou Branch of Zhaoqing Public Security Bureau, Zhaoqing 526060, China.
| | - Liuxi Hong
- Sihui Public Security Bureau of Guangdong Province, Zhaoqing 526299, China.
| | - Qiancheng Zhao
- Public Security Bureau of Zhaoqing Municipality, Zhaoqing 526000, China.
| | - Xiaoyu Lu
- Deepreads Biotech Company Limited, Guangzhou 510663, China.
| | - Meisen Shi
- Criminal Justice College of China University of Political Science and Law, Beijing 100088, China.
| | - Haiyan Li
- Criminal Technology Center of Guangdong Provincial Public Security Department, Guangzhou 510050, China.
| | - Lingxiang Wang
- MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China.
| | - Shaoqing Wen
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China; Institute of Archaeological Science, Fudan University, Shanghai 200433, China; MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China.
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Antão-Sousa S, Gusmão L, Modesti NM, Feliziani S, Faustino M, Marcucci V, Sarapura C, Ribeiro J, Carvalho E, Pereira V, Tomas C, de Pancorbo MM, Baeta M, Alghafri R, Almheiri R, Builes JJ, Gouveia N, Burgos G, Pontes MDL, Ibarra A, da Silva CV, Parveen R, Benitez M, Amorim A, Pinto N. Microsatellites' mutation modeling through the analysis of the Y-chromosomal transmission: Results of a GHEP-ISFG collaborative study. Forensic Sci Int Genet 2024; 69:102999. [PMID: 38181588 DOI: 10.1016/j.fsigen.2023.102999] [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: 05/08/2023] [Revised: 10/25/2023] [Accepted: 12/10/2023] [Indexed: 01/07/2024]
Abstract
The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) organized a collaborative study on mutations of Y-chromosomal short tandem repeats (Y-STRs). New data from 2225 father-son duos and data from 44 previously published reports, corresponding to 25,729 duos, were collected and analyzed. Marker-specific mutation rates were estimated for 33 Y-STRs. Although highly dependent on the analyzed marker, mutations compatible with the gain or loss of a single repeat were 23.2 times more likely than those involving a greater number of repeats. Longer alleles (relatively to the modal one) showed to be nearly twice more mutable than the shorter ones. Within the subset of longer alleles, the loss of repeats showed to be nearly twice more likely than the gain. Conversely, shorter alleles showed a symmetrical trend, with repeat gains being twofold more frequent than reductions. A positive correlation between the paternal age and the mutation rate was observed, strengthening previous findings. The results of a machine learning approach, via logistic regression analyses, allowed the establishment of algebraic formulas for estimating the probability of mutation depending on paternal age and allele length for DYS389I, DYS393 and DYS627. Algebraic formulas could also be established considering only the allele length as predictor for DYS19, DYS389I, DYS389II-I, DYS390, DYS391, DYS393, DYS437, DYS439, DYS449, DYS456, DYS458, DYS460, DYS481, DYS518, DYS533, DYS576, DYS626 and DYS627 loci. For the remaining Y-STRs, a lack of statistical significance was observed, probably as a consequence of the small effective size of the subsets available, a common difficulty in the modeling of rare events as is the case of mutations. The amount of data used in the different analyses varied widely, depending on how the data were reported in the publications analyzed. This shows a regrettable waste of produced data, due to inadequate communication of the results, supporting an urgent need of publication guidelines for mutation studies.
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Affiliation(s)
- Sofia Antão-Sousa
- Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal; Institute of Molecular Pathology and Immunology, University of Porto (IPATIMUP), Porto, Portugal; Faculty of Sciences of the University of Porto (FCUP), Porto, Portugal; DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Leonor Gusmão
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Nidia M Modesti
- Centro de Genética Forense, Poder Judicial de Córdoba, Argentina
| | - Sofía Feliziani
- Centro de Genética Forense, Poder Judicial de Córdoba, Argentina
| | - Marisa Faustino
- Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal; Faculty of Sciences of the University of Porto (FCUP), Porto, Portugal
| | - Valeria Marcucci
- Laboratorio Regional de Investigación Forense, Tribunal Superior de Justicia de Santa Cruz, Argentina
| | - Claudia Sarapura
- Laboratorio Regional de Investigación Forense, Tribunal Superior de Justicia de Santa Cruz, Argentina
| | - Julyana Ribeiro
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Elizeu Carvalho
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Vania Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Carmen Tomas
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Marian M de Pancorbo
- BIOMICs Research Group, Lascaray Research Center, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Miriam Baeta
- BIOMICs Research Group, Lascaray Research Center, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Rashed Alghafri
- International Center for Forensic Sciences, Dubai Police G.H.Q., Dubai, United Arab Emirates
| | - Reem Almheiri
- International Center for Forensic Sciences, Dubai Police G.H.Q., Dubai, United Arab Emirates
| | - Juan José Builes
- GENES SAS Laboratory, Medellín, Colombia; Institute of Biology, University of Antioquia, Medellín, Colombia
| | - Nair Gouveia
- Instituto Nacional de Medicina Legal e Ciências Forenses, I.P. / Serviço de Genética e Biologia Forenses, Delegação do Centro, Portugal
| | - German Burgos
- One Health Global Research Group, Facultad de Medicina, Universidad de Las Américas (UDLA), Quito, Ecuador; Grupo de Medicina Xenómica, Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Maria de Lurdes Pontes
- Instituto Nacional de Medicina Legal e Ciências Forenses, I.P. / Serviço de Genética e Biologia Forenses, Delegação do Norte, Portugal
| | - Adriana Ibarra
- Laboratorio IDENTIGEN, Universidad de Antioquia, Colombia
| | - Claudia Vieira da Silva
- Instituto Nacional de Medicina Legal e Ciências Forenses, I.P. / Serviço de Genética e Biologia Forenses, Delegação do Sul, Portugal
| | - Rukhsana Parveen
- Forensic Services Laboratory, Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Marc Benitez
- Policia de la Generalitat de Catalunya - Mossos d'Esquadra. Unitat Central del Laboratori Biològic, Barcelona, Spain
| | - António Amorim
- Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal; Institute of Molecular Pathology and Immunology, University of Porto (IPATIMUP), Porto, Portugal; Faculty of Sciences of the University of Porto (FCUP), Porto, Portugal
| | - Nadia Pinto
- Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal; Institute of Molecular Pathology and Immunology, University of Porto (IPATIMUP), Porto, Portugal; Centre of Mathematics of the University of Porto, Porto, Portugal.
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Mitchell MR, Chaseling J, Jones L, White T, Bernie A, Haupt LM, Griffiths LR, Wright KM. Improving the strategy to identify historical military remains: a literature review and Y-STR meta-analysis. Forensic Sci Res 2024; 9:owad050. [PMID: 38562552 PMCID: PMC10982847 DOI: 10.1093/fsr/owad050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 09/26/2023] [Indexed: 04/04/2024] Open
Abstract
The identification of historical military remains by Unrecovered War Casualties-Army (UWC-A) currently relies on Y-chromosome Short Tandem Repeat (Y-STR) testing when maternal relatives are not available, or when a mitochondrial DNA match does not provide sufficient certainty of identification. However, common Y-STR profiles (using Yfiler™) between sets of remains or families often prevent identification. To resolve these cases, an investigation of additional Y-DNA markers is needed for their potential inclusion into the DNA identification strategy. The number of genetic transmissions between missing soldiers and their living relatives needs to be considered to avoid false exclusions between paternal relatives. Analysis of 236 World War I/II (WWI/II) era pairs of relatives identified up to seven genetic transmissions between WWII soldiers and their living relatives, and nine for WWI. Previous Y-STR meta-analyses were published approximately 10 years ago when rapidly mutating markers were relatively new. This paper reports a contemporary literature review and meta-analysis of 35 studies (which includes 23 studies not previously used in meta-analysis) and 23 commonly used Y-STR's mutation rates to inform the inclusion of additional loci to UWC-A's DNA identification strategy. Meta-analysis found mutation data for a given Y-STR locus could be pooled between studies and that the mutation rates were significantly different between some loci (at P < 0.05). Based on this meta-analysis, we have identified two additional markers from PowerPlex® Y23 for potential inclusion in UWC-A's identification strategy. Further avenues for potential experimental exploration are discussed. Key points From 236 UWC-A pairs of relatives, we observed up to nine genetic transmissions between WWI soldiers and their living relatives, and seven for WWII.MedCalc® software for meta-analysis utilizing the Freeman-Tukey transformation was run, which analysed 35 published studies and 23 commonly used loci. Previous Y-STR mutation rate meta-analyses are now 10 years old; this paper includes 23 studies that were not included in previous meta-analyses.Through meta-analysis, we identify two markers from PowerPlex® Y23 for potential inclusion in UWC-A's historical remains identification strategy (alongside Yfiler™). We discuss potential next steps for experimental exploration of additional Y-DNA markers.
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Affiliation(s)
- Melinda R Mitchell
- Queensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Janet Chaseling
- Queensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Lee Jones
- Queensland University of Technology (QUT), Research Methods Group, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Toni White
- Queensland University of Technology (QUT), Defence Innovation Hub, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Andrew Bernie
- Unrecovered War Casualties-Army, Australian Defence Force, Russell Offices, Russell, Australian Capital Territory, Australia
| | - Larisa M Haupt
- Queensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Lyn R Griffiths
- Queensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Kirsty M Wright
- Queensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
- Unrecovered War Casualties-Army, Australian Defence Force, Russell Offices, Russell, Australian Capital Territory, Australia
- Royal Australian Air Force (RAAF), No 2 Expeditionary Health Squadron, RAAF Base Williamtown, Williamtown, New South Wales, Australia
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Antão-Sousa S, Pinto N, Rende P, Amorim A, Gusmão L. The sequence of the repetitive motif influences the frequency of multistep mutations in Short Tandem Repeats. Sci Rep 2023; 13:10251. [PMID: 37355683 PMCID: PMC10290632 DOI: 10.1038/s41598-023-32137-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 03/23/2023] [Indexed: 06/26/2023] Open
Abstract
Microsatellites, or Short Tandem Repeats (STRs), are subject to frequent length mutations that involve the loss or gain of an integer number of repeats. This work aimed to investigate the correlation between STRs' specific repetitive motif composition and mutational dynamics, specifically the occurrence of single- or multistep mutations. Allelic transmission data, comprising 323,818 allele transfers and 1,297 mutations, were gathered for 35 Y-chromosomal STRs with simple structure. Six structure groups were established: ATT, CTT, TCTA/GATA, GAAA/CTTT, CTTTT, and AGAGAT, according to the repetitive motif present in the DNA leading strand of the markers. Results show that the occurrence of multistep mutations varies significantly among groups of markers defined by the repetitive motif. The group of markers with the highest frequency of multistep mutations was the one with repetitive motif CTTTT (25% of the detected mutations) and the lowest frequency corresponding to the group with repetitive motifs TCTA/GATA (0.93%). Statistically significant differences (α = 0.05) were found between groups with repetitive motifs with different lengths, as is the case of TCTA/GATA and ATT (p = 0.0168), CTT (p < 0.0001) and CTTTT (p < 0.0001), as well as between GAAA/CTTT and CTTTT (p = 0.0102). The same occurred between the two tetrameric groups GAAA/CTTT and TCTA/GATA (p < 0.0001) - the first showing 5.7 times more multistep mutations than the second. When considering the number of repeats of the mutated paternal alleles, statistically significant differences were found for alleles with 10 or 12 repeats, between GATA and ATT structure groups. These results, which demonstrate the heterogeneity of mutational dynamics across repeat motifs, have implications in the fields of population genetics, epidemiology, or phylogeography, and whenever STR mutation models are used in evolutionary studies in general.
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Affiliation(s)
- Sofia Antão-Sousa
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal.
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal.
- Department of Biology, Faculty of Sciences of University of Porto (FCUP), Porto, Portugal.
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
| | - Nádia Pinto
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Center of Mathematics of University of Porto (CMUP), Porto, Portugal
| | - Pablo Rende
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences of University of Porto (FCUP), Porto, Portugal
| | - António Amorim
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Department of Biology, Faculty of Sciences of University of Porto (FCUP), Porto, Portugal
| | - Leonor Gusmão
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
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Neuhuber F, Dunkelmann B, Grießner I, Helm K, Kayser M, Ralf A. Improving the differentiation of closely related males by RMplex analysis of 30 Y-STRs with high mutation rates. Forensic Sci Int Genet 2022; 58:102682. [DOI: 10.1016/j.fsigen.2022.102682] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/16/2022] [Accepted: 02/20/2022] [Indexed: 11/04/2022]
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Fan H, Zeng Y, Wu W, Liu H, Xu Q, Du W, Hao H, Liu C, Ren W, Wu W, Chen L, Liu C. The Y-STR landscape of coastal southeastern Han: Forensic characteristics, haplotype analyses, mutation rates, and population genetics. Electrophoresis 2021; 42:1578-1593. [PMID: 34018209 DOI: 10.1002/elps.202100037] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/16/2021] [Accepted: 05/15/2021] [Indexed: 11/09/2022]
Abstract
The Y-STR landscape of Coastal Southeastern Han (CSEH) living in Chinese southeast areas (including Guangdong, Fujian, and Zhejiang provinces) is still unclear. We investigated 62 Y-STR markers in a reasonably large number of 1021 unrelated males and 1027 DNA-confirmed father-son pairs to broaden the genetic backgrounds of CSEH. In total, 85 null alleles, 121 off-ladder alleles, and 95 copy number variants were observed, and 1012 distinct haplotypes were determined with the overall HD and DC values of 0.999974 and 0.9912. We observed 369 mutations in 76 099 meiotic transfers, and the average estimated Y-STR mutation rate was 4.85 × 10-3 (95% CI, 4.4 × 10-3 -5.4 × 10-3 ). The Spearman correlation analyses indicated that GD values (R2 = 0.6548) and average allele sizes (R2 = 0.5989) have positive correlations with Y-STR mutation rates. Our RM Y-STR set including 8 candidate RM Y-STRs, of which DYS534, DYS630, and DYS713 are new candidates in CSEH, distinguished 18.52% of father-son pairs. This study also clarified the population structures of CSEH which isolated in population-mixed South China relatively. The strategy, SM Y-STRs for familial searching and RM Y-STRs for individual identification regionally, could be applicable based on enough knowledge of the Y-STR mutability of different populations.
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Affiliation(s)
- Haoliang Fan
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Ying Zeng
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Weiwei Wu
- Zhejiang Key Laboratory of Forensic Science and Technology, Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Hangzhou, P. R. China
| | - Hong Liu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Quyi Xu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Weian Du
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Honglei Hao
- Zhejiang Key Laboratory of Forensic Science and Technology, Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Hangzhou, P. R. China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Wenyan Ren
- Zhejiang Key Laboratory of Forensic Science and Technology, Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Hangzhou, P. R. China
| | - Weibin Wu
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Ling Chen
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Chao Liu
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China.,Guangzhou Forensic Science Institute, Guangzhou, P. R. China
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Mutation analysis for 25 Y-STR markers in Japanese population. Leg Med (Tokyo) 2021; 50:101860. [PMID: 33607450 DOI: 10.1016/j.legalmed.2021.101860] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 01/22/2021] [Accepted: 02/05/2021] [Indexed: 11/27/2022]
Abstract
In this study, we analyzed DNA samples from 213 Japanese father son pairs with 25 Y-chromosome short tandem repeat (Y-STR) (DYS576, DYS389I, DYS635, DYS389II, DYS627, DYS460, DYS458, DYS19, YGATAH4, DYS448, DYS391, DYS456, DYS390, DYS438, DYS392, DYS518, DYS570, DYS437, DYS385, DYS449, DYS393, DYS439, DYS481, DYF387S1, and DYS533) markers using the Yfiler™ Plus PCR amplification kit. We calculated Y-STR mutation rates for each locus to evaluate the efficacy of the 25 Y-STR markers for paternity testing and forensic identification using samples from male relatives. Six rapidly mutating Y-STR markers (DYS576, DYS627, DYS518, DYS570, DYS449 and DYF387S1), previously reported to have high mutation rates (>1.0 × 10-2), are included in the 25 Y-STR markers, but our findings revealed that the mutation rates for all Y-STR markers except for DYS576 and DYS458 were lower than 1.0 × 10-2. Therefore, the use of these 25 Y-STR markers may be useful for forensic identification in the Japanese population.
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A comprehensive mutation study in wide deep-rooted R1b Serbian pedigree: mutation rates and male relative differentiation capacity of 36 Y-STR markers. Forensic Sci Int Genet 2019; 41:137-144. [DOI: 10.1016/j.fsigen.2019.04.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 04/05/2019] [Accepted: 04/29/2019] [Indexed: 11/23/2022]
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