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Minaguchi K, Samejima M, Nambiar P, Kaneko Y, Ochiai E, Kakimoto Y, Osawa M. Construction of 13-locus X-STR multiplex PCR system that reinforces Argus X-12 kit discrimination capacity: Application to the Malay population. Leg Med (Tokyo) 2024; 70:102463. [PMID: 38823287 DOI: 10.1016/j.legalmed.2024.102463] [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: 02/06/2024] [Revised: 04/23/2024] [Accepted: 05/26/2024] [Indexed: 06/03/2024]
Abstract
Closely linked groups of markers on the X chromosome are very useful for testing complex kinship relationships involving X-STR transmission. The Argus X-12 kit, a unique commercially available kit, can obtain haplotypes of 4 linkage groups (LGs) consisting of 3 markers. Although many population data have been reported for forensic purposes, differences in discrimination ability exist between LG1 and LG2, 3, and 4 in East Asian populations, and the data of this kit would become more useful if the discrimination ability of the latter groups were increased. Therefore, for matches found using this kit for some linkage group data, then to increase the identification ability, we additionally introduced 13 X-STR loci and established a method allowing comparison using data from 25 loci. The 13X-STRs add two locus data to each of LG2, 3, and 4, and also add two closely linked group (CLG) data between LG2 and 3 and LG3 and 4 in one multiplex PCR. Assessment of this method for a Malay population for which data by Argus X-12 had already been reported showed that the frequencies of distinct haplotypes in LG2, 3, and 4 were increased by 33.0-42.6 %, and frequencies of unique haplotypes increased by 45.4-59.2 %. The respective haplotype diversity values of the additional 3-locus and 4-locus CLGs were 0.9838 and 0.9939, which helps to improve discriminatory power and to predict recombination locations on the X chromosome. Although we have been testing these loci with Japanese subjects, this system would also be useful for the Malay population.
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Affiliation(s)
- Kiyoshi Minaguchi
- Department of Forensic Medicine, Tokai University School of Medicine, Isehara, Kanagawa. Japan.
| | - Michinaga Samejima
- Private Clinics, Shizunai Kosei-cho, Shinhidaka-cho, Hidaka-gun, Hokkaido, Japan
| | - Phrabhakaran Nambiar
- Dept of Preclinical Sciences, Faculty of Dentistry, MAHSA University, Bandar Saujana Putra 42610, Malaysia; Dept. of Oral & Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Yu Kaneko
- Department of Forensic Medicine, Tokai University School of Medicine, Isehara, Kanagawa. Japan
| | - Eriko Ochiai
- Department of Forensic Medicine, Tokai University School of Medicine, Isehara, Kanagawa. Japan; Department of Legal Medicine, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
| | - Yu Kakimoto
- Department of Forensic Medicine, Tokai University School of Medicine, Isehara, Kanagawa. Japan
| | - Motoki Osawa
- Department of Forensic Medicine, Tokai University School of Medicine, Isehara, Kanagawa. Japan
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Calò L, Gentile F, Baio E, Raschellà C, Capelli C, Marino A. Variability and forensic efficiency of 12 X-STR markers in Namibian populations. Int J Legal Med 2024:10.1007/s00414-024-03299-9. [PMID: 39105780 DOI: 10.1007/s00414-024-03299-9] [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: 03/29/2024] [Accepted: 07/16/2024] [Indexed: 08/07/2024]
Abstract
STR loci localized on the X chromosome provide information additional to the autosomal markers routinely analyzed in forensic genetics, integrating genetic systems as Y-STRs and mitochondrial DNA in the investigation of complex kinship scenarios and mass disaster cases.In this study we genotyped 12 X-STR loci in 251 male samples from four populations of Namibia in southern Africa using the Investigator Argus X-12 kit (Qiagen, Hilden, Germany). Forensic efficiency parameters indicated high power of discrimination in the considered populations. As part of our investigation, we highlighted partial linkage associations between loci within known linkage groups (LGs) and identified several occurrences of previously unreported out-of-ladder (OL) alleles.Genetic distances between the Namibian populations here investigated and other African (Eritrea, Ethiopia, Somalia, Guinea, Cape Verde) and non-African (Germany, China, Philippines) populations using loci grouped in LGs mirrored their biogeographical distribution differently for each linkage group. Haplotype sharing within each LG revealed a high degree of population-specific types, hinting to the potential of these markers for ancestry applications.These results highlight the importance to produce specific and freely available population databases especially for multi-ethnic countries. This novel dataset is expected to be of interest for population studies that need an accessible reference dataset of African regions not currently well represented, as well as possible relevance for forensic applications focusing on the biogeographic origin of samples.
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Affiliation(s)
- Luca Calò
- Reparto Carabinieri Investigazioni Scientifiche di Parma - Sezione Biologia, Parma, Italy
| | - Fabiano Gentile
- Reparto Carabinieri Investigazioni Scientifiche di Parma - Sezione Biologia, Parma, Italy
| | - Elisa Baio
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | | | - Cristian Capelli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
| | - Alberto Marino
- Reparto Carabinieri Investigazioni Scientifiche di Parma - Sezione Biologia, Parma, Italy.
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Liu L, Li S, Cui W, Fang Y, Mei S, Chen M, Xu H, Bai X, Zhu B. Ancestry analysis using a self-developed 56 AIM-InDel loci and machine learning methods. Forensic Sci Int 2024; 361:112065. [PMID: 38889603 DOI: 10.1016/j.forsciint.2024.112065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/11/2023] [Accepted: 05/16/2024] [Indexed: 06/20/2024]
Abstract
Insertion/deletion (InDel) polymorphisms can be used as one of the ancestry-informative markers in ancestry analysis. In this study, a self-developed panel consisting of 56 ancestry-informative InDels was used to investigate the genetic structures and genetic relationships between Chinese Inner Mongolia Manchu group and 26 reference populations. The Inner Mongolia Manchu group was closely related in genetic background to East Asian populations, especially the Han Chinese in Beijing. Moreover, populations from northern and southern East Asia displayed obvious variations in ancestral components, suggesting the potential value of this panel in distinguishing the populations from northern and southern East Asia. Subsequently, four machine learning models were performed based on the 56 AIM-InDel loci to evaluate the performance of this panel in ancestry prediction. The random forest model presented better performance in ancestry prediction, with 91.87% and 99.73% accuracy for the five and three continental populations, respectively. The individuals of the Inner Mongolia Manchu group were assigned to the East Asian populations by the random forest model, and they exhibited closer genetic affinities with northern East Asian populations. Furthermore, the random forest model distinguished 87.18% of the Inner Mongolia Manchus from the East Asian populations, suggesting that the random forest model based on the 56 ancestry-informative InDels could be a potential tool for ancestry analysis.
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Affiliation(s)
- Liu Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Shuanglin Li
- Department of Anatomy and Histology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, Guangdong, China
| | - Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Shuyan Mei
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Man Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Hui Xu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Xiaole Bai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, Guangdong, PR China; Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'anJiaotong University, 99 Yanxiang Road, Xi'an, Shaanxi, PR China.
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4
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Srithawong S, Muisuk K, Prakhun N, Tungpairojwong N, Kutanan W. Forensic efficiency and genetic polymorphisms of 12 X-chromosomal STR loci in Northeastern Thai populations. Mol Genet Genomics 2024; 299:42. [PMID: 38568251 DOI: 10.1007/s00438-024-02134-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 03/07/2024] [Indexed: 04/05/2024]
Abstract
Northeastern Thailand comprises one-third of the country and is home to various populations, with Lao Isan constituting the majority, while others are considered minority groups. Previous studies on forensic short tandem repeats (STRs) in Thailand predominantly focused on autosomal STRs but there was a paucity of X-STRs, exclusively reported from the North and Central regions of the country. In this study, we have newly established a 12 X-STRs from a total of 896 samples from Northeastern Thailand, encompassing Lao Isan as the major group in the region, alongside nine minor populations (Khmer, Mon, Nyahkur, Bru, Kuy, Phutai, Kalueang, Nyaw, and Saek). Across all ten populations, the combined powers of discrimination in both genders were high and the combined mean exclusion chance (MEC) indices calculated for deficiency, normal trio and duo cases were also high (> 0.99999). DXS10148 emerged as the most informative marker, while DXS7423 was identified as the least informative. Genetic comparison based on X-STRs frequency supported genetic distinction of cerain minor groups such as Kuy, Saek and Nyahkur from other northeastern Thai groups as well as genetic differences according to the geographic region of Thai groups (Northeast, North and Central). In sum, the overall results on population genetics are in agreement with earlier reports on other genetic systems, indicating the informativeness of X-STRs for use in anthropological genetics studies. From a forensic perspective, despite the limitations of small sample sizes for minority groups, the present results contribute to filling the gap in the reference X-STRs database of the major group Lao Isan, providing valuable frequency data for forensic applications in Thailand and neighboring countries.
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Affiliation(s)
- Suparat Srithawong
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
| | - Kanha Muisuk
- Department of Forensic Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Nonglak Prakhun
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
| | | | - Wibhu Kutanan
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.
- Department of Biology, Faculty of Science, Naresuan University, Pitsanulok, Thailand.
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Garcia FM, Trabach RSR, Stange VS, Cancian B, Zetum ASS, Casotti MC, Errera FIV, de Carvalho EF, Meira DD, Louro ID. Analysis of 12 X-STRs loci in a population from southeastern Brazil. Forensic Sci Int Genet 2024; 68:102974. [PMID: 37952485 DOI: 10.1016/j.fsigen.2023.102974] [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: 11/30/2022] [Revised: 10/24/2023] [Accepted: 10/28/2023] [Indexed: 11/14/2023]
Abstract
Short tandem repeat (STR) markers on the X chromosome have a high potential for solving complex kinship analysis and individual identification cases. To achieve such purposes, allele and haplotype frequencies for the specific population are necessary. Nonetheless, such frequencies are not always available. Therefore, we obtained haplotypes from 520 unrelated males from four different geographic regions of Espírito Santo - Brazil, using the Investigator Argus X-12 kit. Forensic parameters for linked groups of four X-STR loci are reported. Genetic distance analyzes suggest that ES population is genetically closer to the Italian population and farther from the Mexican one, among the populations analyzed in this study.
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Affiliation(s)
- Fernanda M Garcia
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil.
| | - Raquel S R Trabach
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
| | - Victor S Stange
- Laboratório de DNA Forense - Polícia Civil do Espírito Santo, Vitória 29045-402, Espírito Santo, Brazil
| | - Bruno Cancian
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
| | - Alexia S S Zetum
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
| | - Matheus C Casotti
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
| | - Flavia I V Errera
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
| | - Elizeu F de Carvalho
- Laboratório de Diagnóstico por DNA - Instituto de Biologia Roberto Alcantara Gomes - Universidade Estadual do Rio de Janeiro
| | - Débora D Meira
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
| | - Iuri D Louro
- Núcleo de Genética Humana e Molecular - Departamento de Ciências Biológicas - Universidade Federal do Espírito Santo, Vitória 29075-910, Espirito Santo, Brazil
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Sun N, Tao L, Wang R, Zhu K, Hai X, Wang CC. The genetic structure and admixture of Manchus and Koreans in northeast China. Ann Hum Biol 2023; 50:161-171. [PMID: 36809229 DOI: 10.1080/03014460.2023.2182912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
BACKGROUND The fine-scale genetic profiles and population history of Manchus and Koreans remain unclear. AIM To infer a fine-scale genetic structure and admixture of Manchu and Korean populations. SUBJECTS AND METHODS We collected and genotyped 16 Manchus from Liaoning and 18 Koreans from Jilin province with about 700K genome-wide SNPs. We analysed the data using principal component analysis (PCA), ADMIXTURE, Fst, TreeMix, f-statistics, qpWave, and qpAdm. RESULTS Manchus and Koreans showed a genetic affinity with northern East Asians. Chinese Koreans showed a long-term genetic continuity with Bronze Age populations from the West Liao River and had a strong affinity with Koreans in South Korea and Japan. Manchus had a different genetic profile compared with other Tungusic populations since the Manchus received additional genetic influence from the southern Chinese but didn't have West Eurasian-related admixture. CONCLUSIONS The genetic formation of Manchus involving southern Chinese was consistent with the extensive interactions between Manchus and populations from central and southern China. The large-scale genetic continuity between ancient West Liao River farmers and Koreans highlighted the role farming expansion played in the peopling of the Korean Peninsula.
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Affiliation(s)
- Na Sun
- College of Foreign Languages, Huaqiao University, 362021, Quanzhou, China
| | - Le Tao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Kongyang Zhu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Xiangjun Hai
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, Northwest Minzu University, Lanzhou, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361102, China.,Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University 361005, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, China.,Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.,Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China
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Zhao C, Xu H, Fang Y, Zhao M, Lan Q, Chen M, Mei S, Zhu B. Systematic selections and forensic application evaluations of 111 individual identification SNPs in the Chinese Inner Mongolia Manchu group. Front Genet 2022; 13:944580. [PMID: 36134022 PMCID: PMC9483854 DOI: 10.3389/fgene.2022.944580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 07/25/2022] [Indexed: 11/26/2022] Open
Abstract
Single nucleotide polymorphism (SNP) possesses a promising application in forensic individual identification due to its wide distribution in the human genome and the ability to carry out the genotyping of degraded biological samples by designing short amplicons. Some commonly used individual identification SNPs are less polymorphic in East Asian populations. In order to improve the individual identification efficiencies in East Asian populations, SNP genetic markers with relatively higher polymorphisms were selected from the 1,000 Genome Project phase III database in East Asian populations. A total of 111 individual identification SNPs (II-SNPs) with the observed heterozygosity values greater than 0.4 were screened in East Asian populations, and then, the forensic efficiencies of these selected SNPs were also evaluated in Chinese Inner Mongolia Manchu group. The observed heterozygosity and power of discrimination values at 111 II-SNPs in the Inner Mongolia Manchu group ranged from 0.4011 to 0.7005, and 0.5620 to 0.8025, respectively, and the average value of polymorphism information content was greater than 0.3978. The cumulative match probability and combined probability of exclusion values at II-SNPs were 7.447E-51 and 1-4.17E-12 in the Inner Mongolia Manchu group, respectively. The accumulative efficiency results indicated that the set of II-SNPs could be used as a potential tool for forensic individual identification and parentage testing in the Manchu group. The sequencing depths ranged from 781× to 12374×. And the mean allele count ratio and noise level were 0.8672 and 0.0041, respectively. The sequencing results indicated that the SNP genetic marker detection based on the massively parallel sequencing technology for SNP genetic markers had high sequencing performance and could meet the sequencing requirements of II-SNPs in the studied group.
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Affiliation(s)
- Congying Zhao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Hui Xu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Ming Zhao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Qiong Lan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Man Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Shuyan Mei
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Bofeng Zhu,
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Curtis R, Ward D, Taylor D, Henry J. Investigation of X-STR haplotype diversity in the Australian Aboriginal population. AUST J FORENSIC SCI 2022. [DOI: 10.1080/00450618.2022.2048690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Rhianna Curtis
- Division of Biology, Forensic Science SA, Adelaide, South Australia
| | - Denise Ward
- Division of Biology, Forensic Science SA, Adelaide, South Australia
| | - Duncan Taylor
- Division of Biology, Forensic Science SA, Adelaide, South Australia
- College of Science and Engineering, Flinders University of South Australia, Adelaide, South Australia
| | - Julianne Henry
- Division of Biology, Forensic Science SA, Adelaide, South Australia
- College of Science and Engineering, Flinders University of South Australia, Adelaide, South Australia
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Li XN, Adnan A, Hadi S, Al-Qahtani WS, Alwaili MA, Alshaya DS, Jalal AS, Amer SAM, Jin F. Genetic characterization of the highlander Tibetan population from Qinghai-Tibet Plateau revealed by X chromosomal STRs. PLoS One 2022; 17:e0271769. [PMID: 35926061 PMCID: PMC9352086 DOI: 10.1371/journal.pone.0271769] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/17/2022] [Indexed: 01/20/2023] Open
Abstract
Tibetans are considered an East Asian ethnic group and primarily live in the high Tibetan plateau, the western Sichuan and Yunnan mountains of central and southern China, and areas throughout the Himalayas and around the Tibetan plateau. These people exhibit rare molecular machinery that allows them to adapt to hypoxic environments in the Qinghai-Tibet Plateau and make them a potential candidate for providing insights related to medical genetic, molecular medicine and human population studies. In the current study, we have genotyped 549 individuals with Investigator Argus X-12 Kit. For 12 X-STRs, a total of 174 unique alleles were found, among them DXS10134 and DXS10135 were the most polymorphic loci. All of the loci were in Hardy-Weinberg Equilibrium (HWE). The numbers of observed haplotypes in Highlander Tibetans males were 161,112, 96 and 108, respectively, whereas haplotype diversities (HD) were 0.9959, 0.9880, 0.9809 and 0.9873, respectively. The combined discrimination power for males (PDm) was 0.999 999 99701 and for females (PDf) was 0.999 999 999 999 9958. This study represents an extensive report on X chromosomal STR markers variation in the Highlander Tibetans population for forensic applications and population genetic studies.
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Affiliation(s)
- Xiao-na Li
- School of Fundamental Sciences, China Medical University, Shenyang, Liaoning, P.R. China
| | - Atif Adnan
- Department of Forensic Sciences, College of Criminal Justice, Naif Universsity of Security Sciences, Riyadh, Kingdom of Saudi Arabia
- * E-mail: (FJ); (AA)
| | - Sibte Hadi
- Department of Forensic Sciences, College of Criminal Justice, Naif Universsity of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Wedad Saeed Al-Qahtani
- Department of Forensic Sciences, College of Criminal Justice, Naif Universsity of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Maha Abdullah Alwaili
- Department of Biology, Collage of Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Dalal S. Alshaya
- Department of Biology, Collage of Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Areej S. Jalal
- Department of Biology, Collage of Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Sayed A. M. Amer
- Department of Forensic Sciences, College of Criminal Justice, Naif Universsity of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Feng Jin
- Department of Breast Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, P.R. China
- * E-mail: (FJ); (AA)
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10
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Zhang X, He G, Li W, Wang Y, Li X, Chen Y, Qu Q, Wang Y, Xi H, Wang CC, Wen Y. Genomic Insight Into the Population Admixture History of Tungusic-Speaking Manchu People in Northeast China. Front Genet 2021; 12:754492. [PMID: 34659368 PMCID: PMC8515022 DOI: 10.3389/fgene.2021.754492] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Manchu is the third-largest ethnic minority in China and has the largest population size among the Tungusic-speaking groups. However, the genetic origin and admixture history of the Manchu people are far from clear due to the sparse sampling and a limited number of markers genotyped. Here, we provided the first batch of genome-wide data of genotyping approximate 700,000 single-nucleotide polymorphisms (SNPs) in 93 Manchu individuals collected from northeast China. We merged the newly generated data with data of publicly available modern and ancient East Asians to comprehensively characterize the genetic diversity and fine-scale population structure, as well as explore the genetic origin and admixture history of northern Chinese Manchus. We applied both descriptive methods of ADMIXTURE, fineSTRUCTURE, F ST , TreeMix, identity by decedent (IBD), principal component analysis (PCA), and qualitative f-statistics (f 3, f 4, qpAdm, and qpWave). We found that Liaoning Manchus have a close genetic relationship and significant admixture signal with northern Han Chinese, which is in line with the cluster patterns in the haplotype-based results. Additionally, the qpAdm-based admixture models showed that modern Manchu people were formed as major ancestry related to Yellow River farmers and minor ancestry linked to ancient populations from Amur River Bain, or others. In summary, the northeastern Chinese Manchu people in Liaoning were an exception to the coherent genetic structure of Tungusic-speaking populations, probably due to the large-scale population migrations and genetic admixtures in the past few hundred years.
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Affiliation(s)
- Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Guanglin He
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- School of Humanities, Nanyang Technological University, Singapore, Singapore
| | - Wenhui Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Yunfeng Wang
- Xinbin Manchu Autonomous County People’s Hospital, Fushun, China
| | - Xin Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Chen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Quanying Qu
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Wang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Huanjiu Xi
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Youfeng Wen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
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11
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Liu K, Cao H, Guo C, Pan L, Cui Z, Sun J, Zhao W, Han X, Zhang H, Wang Z, Niu K, Tang N, Shan G, Zhang L. Environmental and Genetic Determinants of Major Chronic Disease in Beijing-Tianjin-Hebei Region: Protocol for a Community-Based Cohort Study. Front Public Health 2021; 9:659701. [PMID: 34150703 PMCID: PMC8212971 DOI: 10.3389/fpubh.2021.659701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/31/2021] [Indexed: 01/23/2023] Open
Abstract
Introduction: Personal lifestyle and air pollution are potential risk factors for major non-communicable diseases (NCDs). However, these risk factors have experienced dramatic changes in the Beijing–Tianjin–Hebei (BTH) region in recent years, and few cohorts have focused on identifying risk factors for major NCDs in this specific region. The current study is a large, prospective, long-term, population-based cohort study that investigated environmental and genetic determinants of NCDs in BTH areas. The results of this study may provide scientific support for efforts to develop health recommendations for personalized prevention. Methods: About 36,000 participants 18 years or older would be obtained by multistage, stratified cluster sampling from five cities for the baseline assessment. Participants underwent seven examinations primarily targeting respiratory and circulatory system function and filled out questionnaires regarding lifestyle behavior, pollutant exposure, medical and family history, medication history, and psychological factors. Biochemistry indicators and inflammation markers were tested, and a biobank was established. Participants will be followed up every 2 years. Genetic determinants of NCDs will be demonstrated by using multiomics, and risk prediction models will be constructed using machine learning methods based on a multitude of environmental exposure, examination data, biomarkers, and psychosocial and behavioral assessments. Significant spatial and temporal differentiation is well-suited to demonstrating the health determinants of NCDs in the BTH region, which may facilitate public health strategies with respect to disease prevention and survivorship-related aspects.
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Affiliation(s)
- Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.,School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Jixin Sun
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Wei Zhao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Xiaoyan Han
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Han Zhang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Zhengfang Wang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.,School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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12
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Du J, Diao Y, Rakha A, Ameen F, AlKahtani MDF, Adnan A. Forensic applications and genetic characterization of Liaoning Han population revealed by extended set of autosomal STRs. Mol Genet Genomic Med 2020; 8:e1517. [PMID: 32996279 PMCID: PMC7767539 DOI: 10.1002/mgg3.1517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/18/2020] [Accepted: 09/14/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Microsatellites or short tandem repeats (STRs) are considered the gold standard for forensic investigations and autosomal STRs are used for routine forensic personal identification. AIM To provide a precise population database on an extended set of STRs which has never been done before and explore the forensic characteristics of 20 autosomal STRs. SUBJECTS AND METHODS In the current study, we explored the genetic characteristics of 20 STRs loci in 1138 unrelated Han individuals using Goldeneye® 20A multiplex amplification system kit in the Liaoning Han population. Additionally, phylogenetic analysis based on the Nei's standard genetic distance was performed between the Han population and other relevant populations. RESULTS A total of 253 alleles were observed while allelic frequencies ranged from 0.00043 to 0.5369. The combined discrimination power was 99.99999999999999999999789% and the combined exclusion power was 99.999998231%. Most of the loci were in HWE while only five pairs were out of LE. Population genetic analysis showed that the Han population has similarities with other East Asian populations. CONCLUSION GoldenEyeTM 20A kit detects high diversity in the Liaoning Han population. These STRs which are part of this kit can be used for forensic investigations. Population genetic analysis showed that the Han population is different from the minority populations of Xinjiang.
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Affiliation(s)
- Jiang Du
- Department of PathologySchool of Basic Medical SciencesChina Medical UniversityShenyangChina
| | - Yefang Diao
- Teaching Affairs OfficeInternational Education SchoolChina Medical UniversityShenyangP.R. China
| | - Allah Rakha
- Department of Forensic SciencesUniversity of Health Sciences LahoreLahorePakistan
| | - Fuad Ameen
- Department of Botany & MicrobiologyCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia
| | - Muneera D. F. AlKahtani
- Department of BiologyCollege of SciencePrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia
| | - Atif Adnan
- Department of Human AnatomyCollege of Basic Medical ScienceChina Medical UniversityShenyangP.R. China
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Paternal and maternal mutations in X-STRs: A GHEP-ISFG collaborative study. Forensic Sci Int Genet 2020; 46:102258. [PMID: 32066109 DOI: 10.1016/j.fsigen.2020.102258] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 10/06/2019] [Accepted: 01/29/2020] [Indexed: 11/22/2022]
Abstract
The GHEP-ISFG organized a collaborative study to estimate mutation rates for the markers included in the Investigator Argus X-12 QS kit Qiagen. A total of 16 laboratories gathered data from 1,612 father/mother/daughter trios, which were used to estimate both maternal and paternal mutation rates, when pooled together with other already published data. Data on fathers and mothers' age at the time of birth of the daughter were also available for ∼93 % of the cases. Population analyses were computed considering the genetic information of a subset of 1,327 unrelated daughters, corresponding to 2,654 haplotypes from residents in several regions of five countries: Argentina, Brazil, Ecuador, Portugal and Spain. Genetic differentiation analyses between the population samples from the same country did not reveal signs of significant stratification, although results from Hardy-Weinberg and linkage disequilibrium tests indicated the need of larger studies for Ecuador and Brazilian populations. The high genetic diversity of the markers resulted in a large number of haplotype combinations, showing the need of huge databases for reliable estimates of their frequencies. It should also be noted the high number of new alleles found, many of them not included in the allelic ladders provided with the kit, as very diverse populations were analyzed. The overall estimates for locus specific average mutation rates varied between 7.5E-04 (for DXS7423) and 1.1E-02 (for DXS10135), the latter being a troublesome figure for kinship analyses. Most of the found mutations (∼92 %) are compatible with the gain or loss of a single repeat. Paternal mutation rates showed to be 5.2 times higher than maternal ones. We also found that older fathers were more prone to transmit mutated alleles, having this trend not been observed in the case of the mothers.
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