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Thelingwani RS, Jonhera CA, Masimirembwa C. Analysis of data and common mutations encountered during routine parentage testing in Zimbabwe. Sci Rep 2024; 14:1385. [PMID: 38228706 DOI: 10.1038/s41598-024-51987-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/11/2024] [Indexed: 01/18/2024] Open
Abstract
We analyzed parentage data collected over a ten-year period in a Zimbabwean DNA testing laboratory. Parentage case types, prevalence, exclusion data, mutations rates and observed genotyping irregularities were analyzed. We report analysis results from 1303 cases. DNA extraction and STR typing was conducted using standard commercial kits. Paternity was the most requested test (87.37%) followed by the indirect biological kinship tests (7.01%). Duo paternity (motherless) was the most common paternity test for both regular and court cases. We observed 367 paternity exclusions from 1135 cases, giving an overall paternity exclusion rate of 32.33%. Maternity had the lowest exclusion rate (8.33%), with criminal cases having the highest paternity (61.11%) and maternity (33.33%) exclusion rates. The number of mismatched STR loci ranged from 2-12 for duo cases and 4-18 for the trio cases. FGA, D2S1338, D18S51 and D2S441 were the most informative markers for exclusion. We detected 30 mutations out of 837 cases with an estimated paternal and maternal mutation rate of 0.0021 and 0.0011 respectively. Triallelic patterns were only observed at the TPOX locus with allele 10 and 11 being the extra alleles transmitted. Our report provides forensic parameters which can improve parentage and forensic analysis in Zimbabwe.
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Affiliation(s)
- Roslyn Stella Thelingwani
- Forensic Science Unit, Department of Genomic Medicine, African Institute of Biomedical Science and Technology (AiBST), 911 Boronia Township, Beatrice, Zimbabwe.
- CradleOmics, Block C, Wilkins Hospital Complex, Harare, Zimbabwe.
| | - Catherine Ashley Jonhera
- Forensic Science Unit, Department of Genomic Medicine, African Institute of Biomedical Science and Technology (AiBST), 911 Boronia Township, Beatrice, Zimbabwe
| | - Collen Masimirembwa
- Forensic Science Unit, Department of Genomic Medicine, African Institute of Biomedical Science and Technology (AiBST), 911 Boronia Township, Beatrice, Zimbabwe
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2
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A comprehensive GlobalFiler™ autosomal STR reference dataset for Southern Africa. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2022. [DOI: 10.1016/j.fsigss.2022.10.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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3
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Sampaio B, Dos Santos Silva AM, de Sá Paiva Leitão Júnior S, de Souza Liberal AT, da Cruz HLA, de Queiroz Balbino V. Allelic frequencies distribution and forensic parameters of 23 autosomal short tandem repeats in the population of the State of Pernambuco, Brazil. Leg Med (Tokyo) 2022; 59:102112. [PMID: 35839577 DOI: 10.1016/j.legalmed.2022.102112] [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: 02/11/2022] [Revised: 05/30/2022] [Accepted: 07/01/2022] [Indexed: 10/31/2022]
Abstract
Located in the Northeast Region, the Pernambuco State is one of the 27 federative units of Brazil. Here, we determined populational data for 23 short tandem repeat (STR) markers - CSF1PO, FGA, TH01, TPOX, vWA, D1S1656, D2S1338, D2S441, D3S1358, D5S818, D7S820, D8S1179, D10S1248, D12S391, D13S317, D16S539, D18S51, D19S433, D21S11, D22S1045, PENTA D, PENTA E and SE33 - of the Pernambuco population. The sample consisted of 767 healthy, adult, unrelated individuals (437 males, 330 females) born and resident in the State of Pernambuco. STRs were amplified using three multiplex kits, according to the availability: PowerPlex® Fusion 6C System (Promega Corporation), PowerPlex® Fusion System (Promega Corporation) and GlobalFiler™ Express (Thermo Fisher Scientific). Allelic frequencies, forensic parameters and Hardy-Weinberg equilibrium determinations were estimated for all the 23 loci. No deviations from the Hardy-Weinberg equilibrium were observed for any of the markers, after Bonferroni correction. We observed that the most and less informative markers were SE33 and TPOX, respectively. The combined power of discrimination (CPD) was 0.99999999999999999999999999999, and the combined power of exclusion (CPE) was 0.99999999997. The cumulative typical paternity index was 37,919,301,869.3021. Interpopulation analyses (Nei's genetic distance) based on the expanded CODIS core loci was performed between the Pernambuco sample and other global populations. Pernambuco was the closest Brazilian population to African group and stayed distant from the Native American group. This work contributed to show that a panel of 23 autosomal STR loci is very informative, being able for forensic applications related in this population.
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Affiliation(s)
- Bruno Sampaio
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil.
| | - Abigail Marcelino Dos Santos Silva
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Sérgio de Sá Paiva Leitão Júnior
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Anna Theresa de Souza Liberal
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Heidi Lacerda Alves da Cruz
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Valdir de Queiroz Balbino
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
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Kasu M, Cloete K, Pitere R, Tsiana K, D’Amato M. The Genetic Landscape of South African males: A Y-STR Perspective. Forensic Sci Int Genet 2022; 58:102677. [DOI: 10.1016/j.fsigen.2022.102677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 01/21/2022] [Accepted: 02/04/2022] [Indexed: 11/04/2022]
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5
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Adnan A, Anwar A, Simayijiang H, Farrukh N, Hadi S, Wang CC, Xuan JF. The Heart of Silk Road "Xinjiang," Its Genetic Portray, and Forensic Parameters Inferred From Autosomal STRs. Front Genet 2021; 12:760760. [PMID: 34976009 PMCID: PMC8719170 DOI: 10.3389/fgene.2021.760760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/27/2021] [Indexed: 11/13/2022] Open
Abstract
The Xinjiang Uyghur Autonomous Region of China (XUARC) harbors almost 50 ethnic groups including the Uyghur (UGR: 45.84%), Han (HAN: 40.48%), Kazakh (KZK: 6.50%), Hui (HUI: 4.51%), Kyrgyz (KGZ: 0.86%), Mongol (MGL: 0.81%), Manchu (MCH: 0.11%), and Uzbek (UZK: 0.066%), which make it one of the most colorful regions with abundant cultural and genetic diversities. In our previous study, we established allelic frequency databases for 14 autosomal short tandem repeats (STRs) for four minority populations from XUARC (MCH, KGZ, MGL, and UZK) using the AmpFlSTR® Identifiler PCR Amplification Kit. In this study, we genotyped 2,121 samples using the GoldenEye™ 20A Kit (Beijing PeopleSpot Inc., Beijing, China) amplifying 19 autosomal STR loci for four major ethnic groups (UGR, HAN, KZK, and HUI). These groups make up 97.33% of the total XUARC population. The total number of alleles for all the 19 STRs in these populations ranged from 232 (HAN) to 224 (KZK). We did not observe any departures from the Hardy-Weinberg equilibrium (HWE) in these populations after sequential Bonferroni correction. We did find minimal departure from linkage equilibrium (LE) for a small number of pairwise combinations of loci. The match probabilities for the different populations ranged from 1 in 1.66 × 1023 (HAN) to 6.05 × 1024 (HUI), the combined power of exclusion ranged from 0.999 999 988 (HUI) to 0.999 999 993 (UGR), and the combined power of discrimination ranged from 0.999 999 999 999 999 999 999 983 (HAN) to 0.999 999 999 999 999 999 999 997 (UGR). Genetic distances, principal component analysis (PCA), STRUCTURE analysis, and the phylogenetic tree showed that genetic affinity among studied populations is consistent with linguistic, ethnic, and geographical classifications.
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Affiliation(s)
- Atif Adnan
- Department of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, China
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, Xiamen University, Xiamen, China
| | - Adeel Anwar
- Department of Orthopedic Surgery, The 3rd Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Halimureti Simayijiang
- Department of Forensic Medicine, School of Basic Medical Sciences, Binzhou Medical University, Yantai, China
| | - Noor Farrukh
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Sibte Hadi
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jin-Feng Xuan
- Department of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, China
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Muinde JM, Chandra Bhanu DR, Neumann R, Oduor RO, Kanja W, Kimani JK, Mutugi MW, Smith L, Jobling MA, Wetton JH. Geographical and linguistic structure in the people of Kenya demonstrated using 21 autosomal STRs. Forensic Sci Int Genet 2021; 53:102535. [PMID: 34051692 DOI: 10.1016/j.fsigen.2021.102535] [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: 03/07/2021] [Revised: 05/11/2021] [Accepted: 05/16/2021] [Indexed: 11/15/2022]
Abstract
Kenya is a diverse and populous nation that employs DNA evidence in its criminal justice system, and therefore requires reliable information on autosomal STR allele frequency variation across the country and in its many ethnic groups. In order to provide reference data and to assess population structure, we analysed the 21 autosomal STRs in the GlobalFiler multiplex in a sample of 510 indigenous Kenyans representing the country's eight former provinces, 43 of its 47 counties, three main linguistic families and all 29 ethnic groups that each comprise >0.5% of the 2019 census population. The indigenous population originated from successive migrations of Cushitic, Nilotic and Bantu speaking groups who settled in regions that suited their distinctive sustenance lifestyles. Consequently, they now largely reside in a patchwork of communities with strong associations with particular counties and provinces and limited degrees of inter-group marriage, as shown by DNA donors' ancestry details. We found significant genetic differentiation between the three Nilotic language sub-families, with Western Nilotes (the Luo ethnic group) showing greater similarity to the Bantu than the Southern and Eastern Nilotes which themselves showed closer affinity to the Cushitic speakers. This concurs with previous genetic, linguistic and social studies. Comparisons with other African populations also showed that linguistic affiliation is a stronger factor than geography. This study revealed several rare off-ladder alleles whose structure was determined by Sanger sequencing. Among the unusual features that could affect profile interpretation were a deletion of Amelogenin Y but no other forensic marker (autosomal or Y-chromosomal), a triallelic pattern at TPOX and an extremely short SE33 allele falling within the expected size range of D7S820. Compared with the currently implemented Identifiler multiplex, Random Match Probabilities decreased from 6.4 × 10-19 to 3.9 × 10-27. The appreciation of local population structure provided by the geographically and ethnically representative sample in this study highlights the structured genetic landscape of Kenya.
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Affiliation(s)
- Jane Mbithe Muinde
- Department of Biochemistry, Microbiology & Biotechnology, Kenyatta University, Nairobi, Kenya
| | | | - Rita Neumann
- Department of Genetics & Genome Biology, University of Leicester, Leicester, UK
| | - Richard Okoth Oduor
- Department of Biochemistry, Microbiology & Biotechnology, Kenyatta University, Nairobi, Kenya
| | | | | | | | - Lisa Smith
- Department of Criminology, University of Leicester, Leicester, UK
| | - Mark A Jobling
- Department of Genetics & Genome Biology, University of Leicester, Leicester, UK.
| | - Jon H Wetton
- Department of Genetics & Genome Biology, University of Leicester, Leicester, UK.
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Borosky A, Rotondo M, Eppel S, Gusmão L, Vullo C. Allele frequency data for 23 aSTR for different ethnic groups from Republic of Zimbabwe. Int J Legal Med 2021; 135:1753-1765. [PMID: 33559001 DOI: 10.1007/s00414-021-02514-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 01/14/2021] [Indexed: 10/22/2022]
Abstract
In order to determine the population allele frequencies of autosomal STR markers of forensic interest in the Zimbabwean population, we analyzed a sample of 478 individuals from 19 different ethnic groups using the PowerPlex® Fusion 6C Kit (Promega Corp, Madison, Wisconsin). The data obtained were compared among the different Zimbabwean ethnic groups as well as with several African populations to establish whether significant differences exist among them. No significant differences were found among the ethnic groups in Zimbabwe. Statistically significant differences were observed between allele frequencies in Zimbabwe and some other African populations, although FST with neighboring Bantu populations from South and Southeast regions were low (below 0.005 in most single locus comparisons).
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Affiliation(s)
| | - Martina Rotondo
- Forensic Genetics Laboratory, Argentine Forensic Anthropology Team, Córdoba, Argentina
| | - Shari Eppel
- Department of Anthropology, University of Cape Town, Cape Town, South Africa
| | - Leonor Gusmão
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, 20550-900, Brazil
| | - Carlos Vullo
- LIDMO, EME1, Independencia 644,4A, Córdoba, Argentina.
- Forensic Genetics Laboratory, Argentine Forensic Anthropology Team, Córdoba, Argentina.
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8
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Reid KM, Heathfield LJ. Evaluation of direct PCR for routine DNA profiling of non-decomposed deceased individuals. Sci Justice 2020; 60:567-572. [PMID: 33077040 DOI: 10.1016/j.scijus.2020.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 11/29/2022]
Abstract
Forensic DNA profiling is a standard method used in the attempt to identify deceased individuals. In routine investigations, and if available, the preferred sample type is usually blood. However, this requires the invasive re-opening of the body, days or weeks after the autopsy, which is undesirable in resource-constrained mortuary settings. Motivated by the ease of sampling as well as reduced health and safety risks, this study aimed to establish the success rate of generating a full DNA profile on first attempt from buccal swab lysates using a direct PCR approach. Buccal swab samples were collected from 100 unidentified deceased males, and were subjected to direct DNA profiling with use of the Promega PowerPlex® Y23 Kit. At the time of sample collection, these individuals had been stored for between 1 and 887 days. This study shows that full DNA profiles were initially obtained from 73% of samples, which constitutes the first empirical data pertaining to first time success rates of direct PCR from post-mortem buccal lysates. Further investigation of partial and failed DNA profiles using real-time PCR showed that samples did not contain PCR inhibitors, DNA was not degraded, but DNA concentration was particularly low. Repeating DNA profiling with increased lysate input and extra PCR cycles yielded an additional six full DNA profiles, resulting in an overall success rate of 79%. Overall, DNA profile success rate was not associated with the duration of storage (p = 0.387). Lastly, massively parallel sequencing with the ForenSeq™ Signature DNA Prep kit provided more informative profiles for three additional samples. These results indicate that blood should therefore remain the sample of choice in a post-mortem setting, yet buccal lysates hold potential to be optimised further, which may ease the human identification workflow.
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Affiliation(s)
- Kate Megan Reid
- Division of Forensic Medicine and Toxicology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory 7925, South Africa.
| | - Laura Jane Heathfield
- Division of Forensic Medicine and Toxicology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory 7925, South Africa.
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9
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Reid KM, Heathfield LJ. Allele frequency data for 23 Y-chromosome short tandem repeats (STRs) for the South African population. Forensic Sci Int Genet 2020; 46:102270. [PMID: 32163904 DOI: 10.1016/j.fsigen.2020.102270] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 02/13/2020] [Accepted: 03/01/2020] [Indexed: 01/31/2023]
Affiliation(s)
- Kate Megan Reid
- Division of Forensic Medicine and Toxicology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, 7925, South Africa.
| | - Laura Jane Heathfield
- Division of Forensic Medicine and Toxicology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, 7925, South Africa.
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Heterozygous 21 STR loci and triplet alleles observed in population genetic analysis of the GlobalFiler STR loci in the Ghanaian population. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2019. [DOI: 10.1016/j.fsigss.2019.10.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Chen P, Wu J, Luo L, Gao H, Wang M, Zou X, Li Y, Chen G, Luo H, Yu L, Han Y, Jia F, He G. Population Genetic Analysis of Modern and Ancient DNA Variations Yields New Insights Into the Formation, Genetic Structure, and Phylogenetic Relationship of Northern Han Chinese. Front Genet 2019; 10:1045. [PMID: 31737039 PMCID: PMC6832103 DOI: 10.3389/fgene.2019.01045] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/30/2019] [Indexed: 11/30/2022] Open
Abstract
Modern East Asians derived from the admixture of aborigines and incoming farmers expanding from Yellow and Yangtze River Basins. Distinct genetic differentiation and subsequent admixture between Northeast Asians and Southeast Asians subsequently evidenced by the mitochondrial DNA, Y-chromosomal variations, and autosomal SNPs. Recently, population geneticists have paid more attention to the genetic polymorphisms and background of southern-Han Chinese and southern native populations. The genetic legacy of northern-Han remains uncharacterized. Thus, we performed this comprehensive population genetic analyses of modern and ancient genetic variations aiming to yield new insight into the formation of modern Han, and the genetic ancestry and phylogenetic relationship of the northern-Han Chinese population. We first genotyped 25 forensic associated markers in 3,089 northern-Han Chinese individuals using the new-generation of the Huaxia Platinum System. And then we performed the first meta-analysis focused on the genetic affinity between Asian Neolithic∼Iron Age ancients and modern northern-Han Chinese by combining mitochondrial variations in 417 ancient individuals from 13 different archeological sites and 812 modern individuals, as well as Y-chromosomal variations in 114 ancient individuals from 12 Neolithic∼Iron Age sites and 2,810 modern subjects. We finally genotyped 643,897 genome-wide nucleotide polymorphisms (SNPs) in 20 Shanxi Han individuals and combined with 1,927 modern humans and 40 Eurasian ancient genomes to explore the genetic structure and admixture of northern-Han Chinese. We addressed genetic legacy, population structure and phylogenetic relationship of northern-Han Chinese via various analyses. Our population genetic results from five different reference datasets indicated that Shanxi Han shares a closer phylogenetic relationship with northern-neighbors and southern ethnically close groups than with Uyghur and Tibetan. Genome-wide variations revealed that modern northern-Han derived their ancestry from Yakut-related population (25.2%) and She-related population (74.8%). Summarily, the genetic mixing that led to the emergence of a Han Chinese ethnicity occurred at a very early period, probably in Neolithic times, and this mixing involved an ancient Tibeto-Burman population and a local pre-Sinitic population, which may have been linguistically Altaic.
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Affiliation(s)
- Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Jian Wu
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Li Luo
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Hongyan Gao
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Yingxiang Li
- Department of Bioinformatics, WeGene, Shenzhen, China
| | - Gang Chen
- Department of Bioinformatics, WeGene, Shenzhen, China
| | - Haibo Luo
- Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Limei Yu
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yanyan Han
- Department of Nutrition and Food Hygiene, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Fuquan Jia
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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Novel Y-chromosome short tandem repeat sequence variation for loci DYS710, DYS518, DYS385, DYS644, DYS612, DYS626, DYS504, DYS481, DYS447 and DYS449. Int J Legal Med 2019; 133:1681-1689. [PMID: 30982129 DOI: 10.1007/s00414-019-02056-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 03/29/2019] [Indexed: 10/27/2022]
Abstract
In forensic casework, Y-chromosome short tandem repeats (Y-STRs) are essential for differentiating between unrelated males and resolving the male component of admixed biological evidence. While the majority of Y-STRs are adequate for discriminating between different paternal lineages, rapidly mutating Y-STRs are necessary for improving discrimination between males within populations of low Y-chromosome diversity and between paternal relatives. Alternatively, sequencing of Y-STRs may also improve the discrimination between isometric Y-STR alleles by identifying variation in the repeat unit pattern arrangements and by identifying SNPs in the flanking region or within the STR repeat unit itself. In this report, a total of 153 DNA sequences are presented across the Y-STR loci DYS710, DYS518, DYS385, DYS644, DYS612, DYS626, DYS504, DYS481, DYS447 and DYS449. A total of 94 Y-STR sequences provided herein are reported for the first time, of which 37 sequences represent alleles showing size homoplasy, 34 sequences of known alleles for which sequence data has been unavailable and a total of 23 novel allele sequences across loci DYS644, DS447, DYS710 and DYS504. This study further encountered a rare sequence variant in the 5' flanking region of DYS385 and a total of two SNPs in the repeat structure at DYS481 and DYS449.
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13
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Zhao ZL, Xia L, Zhao C, Ameen F, Alyahya S, Yao J. Population genetics of 15 autosomal STR loci in the Han population of Ili Kazakh Autonomous Prefecture, Northwestern China. Ann Hum Genet 2019; 83:318-324. [PMID: 30895616 DOI: 10.1111/ahg.12314] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 02/20/2019] [Accepted: 03/05/2019] [Indexed: 01/26/2023]
Abstract
PURPOSE China harbors 56 ethnic groups and Han accounts for >92% of the total Chinese population. We investigated the frequencies of 15 autosomal short tandem repeat (STR) loci in the Han population of the Ili Kazakh Autonomous Prefecture with the aim of expanding the available population information in human genetics databases and for forensic DNA analysis. SUBJECTS AND METHODS We explored the genetic characteristics of 15 autosomal STR loci in 552 unrelated Chinese Han individuals from Ili Kazakh Autonomous Prefecture, Northwestern China using the AmpFISTR Identifiler PCR Amplification Kit. Moreover, phylogenetic analysis was performed between the Han population and other relevant populations based on the autosomal STR genotyping. The neighbor-joining tree and principle component analysis were generated based on the Nei's standard genetic distance and allelic frequencies, respectively. RESULTS A total of 171 alleles were observed among 552 unrelated individuals and allelic frequencies ranged from 0.5145 to 0.0009. The combined power of discrimination and combined power of exclusion of the 15 autosomal STR loci were 0.9999999999999999964 and 0.999998243616671, respectively. CONCLUSIONS Population comparison revealed that the Ili Han population were lining up together with other Han populations in China while showing significant differences from other Chinese and worldwide populations.
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Affiliation(s)
- Zhi-Liang Zhao
- Hospital Office, Chengdu First People's Hospital, Chengdu, Sichuan Province, China.,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Lu Xia
- Department of Rehabilitation, Chengdu First People's Hospital, Chengdu, Sichuan Province, China
| | - Cong Zhao
- Department of Gastroenterology, Chengdu First People's Hospital, Chengdu, Sichuan Province, China
| | - Fuad Ameen
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Sami Alyahya
- National Center for Biotechnology, King Abdul Aziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Jun Yao
- School of Forensic Medicine, China Medical University, Shenbei New District, Shenyang, China
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14
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Liu J, Wang Z, He G, Wang M, Hou Y. Genetic polymorphism and phylogenetic differentiation of the Huaxia Platinum System in three Chinese minority ethnicities. Sci Rep 2019; 9:3371. [PMID: 30833593 PMCID: PMC6399324 DOI: 10.1038/s41598-019-39794-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 01/29/2019] [Indexed: 12/13/2022] Open
Abstract
Short tandem repeats (STRs) with features of high polymorphism and abundant evolution information play a significant role in genetic applications such as human forensics, anthropology and population genetics. The Huaxia Platinum System was specifically exploited to allow coamplification of all markers in the expanded Combined DNA Index System and the Chinese National Database. Herein, in continuation of our previous studies, 493 unrelated individuals were firstly genotyped to investigate the efficacy of this novel system in three minority ethnicities of China (Hui, Tibetan and Uygur). Additionally, genetic relationships among our three investigated populations and other previously published populations were analyzed using pairwise genetic distances, multidimensional scaling (MDS), principal component analysis (PCA), cladogram and STRUCTURE. The combined match probabilities (CMP) for the Hui, Tibetan and Uygur groups were 1.6894 × 10−27, 6.1666 × 10−27 and 5.0655 × 10−27, respectively, and the combined powers of exclusion (CPE) were 0.999999999646627, 0.999999999304935 and 0.999999999433994. Population comparison analysis manifested that the Hui and Tibetan populations had genetic affinities with the Han, Yi and Korean populations, while the Uygur group had a close relationship with the Kazakh population. The aforementioned results suggested that the Huaxia Platinum System is a polymorphic and effective tool that is appropriate for personal identification and population genetics.
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Affiliation(s)
- Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
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15
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Characterization of a null TPOX allele for AmpFℓSTR ® Identifiler ® Plus kit. Forensic Sci Int Genet 2018; 35:e1-e3. [PMID: 29631895 DOI: 10.1016/j.fsigen.2018.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 03/05/2018] [Accepted: 03/29/2018] [Indexed: 11/23/2022]
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16
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Lan Q, Chen J, Guo Y, Xie T, Fang Y, Jin X, Cui W, Zhou Y, Zhu B. Genetic structure and polymorphism analysis of Xinjiang Hui ethnic minority based on 21 STRs. Mol Biol Rep 2018; 45:99-108. [PMID: 29372494 DOI: 10.1007/s11033-018-4143-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 12/27/2017] [Indexed: 01/23/2023]
Abstract
In the present study, we calculated the allelic frequencies and forensic descriptive parameters of Hui ethnic minority on the basis of 21 short tandem repeat (STR) loci aiming at understanding population structure better and enriching population genetic database. Bloodstain samples of 506 unrelated healthy Hui individuals in Xinjiang Uygur Autonomous Region were collected. Altogether 268 alleles were observed and the allelic frequencies ranged from 0.0010 to 0.5306. The combined power of discrimination and the cumulative probability of exclusion of the 21 STR loci in Hui ethnic minority were 0.9999999999999999999999998697 and 0.9999999968, respectively. Population data obtained manifested that the panel of 21 STR loci could provide robust genetic information for individual identification and paternity testing involved in forensic applications for Huis of Xinjiang Region. Furthermore, the present results of interpopulation differentiations, phylogenetic trees and principal component analysis which were conducted based on the overlapping 16 STR loci revealed that Hui group was genetically close to Xibe ethnic group and Han populations from different regions.
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Affiliation(s)
- Qiong Lan
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China
| | - Jiangang Chen
- Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, People's Republic of China
| | - Yuxin Guo
- Key laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China
| | - Tong Xie
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China
| | - Yating Fang
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China
| | - Xiaoye Jin
- Key laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China
| | - Wei Cui
- Key laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China
| | - Yongsong Zhou
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China
| | - Bofeng Zhu
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China.
- Key laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China.
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, People's Republic of China.
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17
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Ristow PG, D’Amato ME. Forensic statistics analysis toolbox (FORSTAT): A streamlined workflow for forensic statistics. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2017. [DOI: 10.1016/j.fsigss.2017.09.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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18
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Tau T, Wally A, Fanie TP, Ngono GL, Mpoloka SW, Davison S, D'Amato ME. Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci. Sci Rep 2017; 7:6768. [PMID: 28754995 PMCID: PMC5533702 DOI: 10.1038/s41598-017-06365-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 06/14/2017] [Indexed: 11/09/2022] Open
Abstract
Population structure was investigated in 990 Botswana individuals according to ethno-linguistics, Bantu and Khoisan, and geography (the nine administrative districts) using the Identifiler autosomal microsatellite markers. Genetic diversity and forensic parameters were calculated for the overall population, and according to ethno-linguistics and geography. The overall combined power of exclusion (CPE) was 0.9999965412 and the combined match probability 6,28 × 10-19. CPE was highest for the Khoisan Tuu ethnolinguistic group and the Northeast District at 0.9999582029 and 0.9999922652 respectively. CMP ranged from 6.28 × 10-19 (Khoisan Tuu) to 1,02 × 10-18 (Northwest district). Using pairwise genetic distances (FST), analysis of molecular variance (AMOVA), factorial correspondence analysis (FCA), and the unsupervised Bayesian clustering method found in STRUCTURE and TESS, ethno-linguistics were found to have a greater influence on population structure than geography. FCA showed clustering between Bantu and Khoisan, and within the Bantu. This Bantu sub-structuring was not seen with STRUCTURE and TESS, which detected clustering only between Bantu and Khoisan. The patterns of population structure revealed highlight the need for regional reference databases that include ethno-linguistic and geographic location information. These markers have important potential for bio-anthropological studies as well as for forensic applications.
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Affiliation(s)
- Tiroyamodimo Tau
- University of the Western Cape, Department of Biotechnology, Forensic DNA Laboratory, Private Bag X17, 7535, Bellville, Cape Town, South Africa
| | - Anthony Wally
- Botswana Police Service, Forensic Science Laboratory, Private Bag 0400, Gaborone, Botswana
| | | | - Goitseone Lorato Ngono
- Botswana Police Service, Forensic Science Laboratory, Private Bag 0400, Gaborone, Botswana
| | - Sununguko Wata Mpoloka
- University of Botswana, Biological Sciences Department, Private Bag 00704, Gaborone, Botswana
| | - Sean Davison
- University of the Western Cape, Department of Biotechnology, Forensic DNA Laboratory, Private Bag X17, 7535, Bellville, Cape Town, South Africa
| | - María Eugenia D'Amato
- University of the Western Cape, Department of Biotechnology, Forensic DNA Laboratory, Private Bag X17, 7535, Bellville, Cape Town, South Africa.
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Ristow PG, Barnes N, Murphy GP, Brown H, Cloete KW, D'Amato ME. Evaluation of the InnoTyper ® 21 genotyping kit in multi-ethnic populations. Forensic Sci Int Genet 2017. [PMID: 28628900 DOI: 10.1016/j.fsigen.2017.06.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
We report the findings of the evaluation of the InnoTyper® 21 genotyping kit for the use of human identification (HID) and paternity testing in South Africa. This novel forensic kit evaluates 20 retrotransposable elements (AC4027, MLS26, ALU79712, NBC216, NBC106, RG148, NBC13, AC2265, MLS09, AC1141, TARBP, AC2305, HS4.69, NBC51, ACA1766, NBC120, NBC10, NBC102, SB19.12 and NBC148) and the Amelogenin locus for sex determination. The evaluation of the genotyping performance showed no significant spectral pull-up for peak heights between 100 and 30,000 RFUs. All loci presented biallelic patterns except the triallelic RG148 locus resulting from a variant insertion allele, named RG148I-1, observed exclusively in the Bantu. The InnoTyper® 21 kit was found to be highly discriminatory between the 507 unrelated individuals of the Afrikaaner, Asian Indian, Coloured, amaXhosa and amaZulu groups. The HID parameters: the CPD ranged between 0.99999987 and 0.9999999845, and the CMP between 1.0335×10-7 and 1.5506×10-8. The paternity parameters: the CPI ranged between 0.0202 and 0.3177, and the CPE between 0.9161 and 0.9749. There were no significant signs of deviations from HWE or linkage disequilibrium (LD) after applying a Bonferroni correction. This kit also showed minor levels of population structure which could differentiate between the African and non-African population groups. Finally, in challenging casework with severely degraded biological material, the InnoTyper® 21 genotyping kit was compatible with GlobalFiler® and Investigator DIPplex® to increase the HID parameters.
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Affiliation(s)
- Peter Gustav Ristow
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, 7535, South Africa; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Nicole Barnes
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, 7535, South Africa
| | - Gina Pineda Murphy
- InnoGenomics Technologies, 1441 Canal Street, Suite 307, New Orleans, LA, 70112, United States of America
| | - Hiromi Brown
- InnoGenomics Technologies, 1441 Canal Street, Suite 307, New Orleans, LA, 70112, United States of America
| | - Kevin Wesley Cloete
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, 7535, South Africa
| | - Maria Eugenia D'Amato
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, 7535, South Africa.
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20
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Cloete KW, Ristow PG, Kasu M, D'Amato ME. Design, installation, and performance evaluation of a custom dye matrix standard for automated capillary electrophoresis. Electrophoresis 2016; 38:617-623. [PMID: 27859383 DOI: 10.1002/elps.201600257] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 11/01/2016] [Accepted: 11/03/2016] [Indexed: 12/17/2022]
Abstract
CE equipment detects and deconvolutes mixtures containing up to six fluorescently labeled DNA fragments. This deconvolution is done by the collection software that requires a spectral calibration file. The calibration file is used to adjust for the overlap that occurs between the emission spectra of fluorescence dyes. All commercial genotyping and sequencing kits require the installation of a corresponding matrix standard to generate a calibration file. Due to the differences in emission spectrum overlap between fluorescent dyes, the application of existing commercial matrix standards to the electrophoretic separation of DNA labeled with other fluorescent dyes can yield undesirable results. Currently, the number of fluorescent dyes available for oligonucleotide labeling surpasses the availability of commercial matrix standards. Therefore, in this study we developed and evaluated a customized matrix standard using ATTO 633, ATTO 565, ATTO 550, ATTO Rho6G, and 6-FAM dyes for which no commercial matrix standard is available. We highlighted the potential genotyping errors of using an incorrect matrix standard by evaluating the relative performance of our custom dye set using six matrix standards. The specific performance of two genotyping kits (UniQTyper™ Y-10 version 1.0 and PowerPlex® Y23 System) was also evaluated using their specific matrix standards. The procedure we followed for the construction of our custom dye matrix standard can be extended to other fluorescent dyes.
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Affiliation(s)
- Kevin Wesley Cloete
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, Western Cape, South Africa
| | - Peter Gustav Ristow
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, Western Cape, South Africa
| | - Mohaimin Kasu
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, Western Cape, South Africa
| | - Maria Eugenia D'Amato
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, Western Cape, South Africa
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