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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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Boattini A, Bortolini E, Bauer R, Ottone M, Miglio R, Gueresi P, Pettener D. The surname structure of Trentino (Italy) and its relationship with dialects and genes. Ann Hum Biol 2021; 48:260-269. [PMID: 34459343 DOI: 10.1080/03014460.2021.1936635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Thanks to the availability of rich surname, linguistic and genetic information, together with its geographic and cultural complexity, Trentino (North-Eastern Italy) is an ideal place to test the relationships between genetic and cultural traits. AIM We provide a comprehensive study of population structures based on surname and dialect variability and evaluate their relationships with genetic diversity in Trentino. SUBJECTS AND METHODS Surname data were collected for 363 parishes, linguistic data for 57 dialects and genetic data for different sets of molecular markers (Y-chromosome, mtDNA, autosomal) in 10 populations. Analyses relied on different multivariate methods and correlation tests. RESULTS Besides the expected isolation-by-distance-like patterns (with few local exceptions, likely related to sociocultural instances), we detected a significant and geography-independent association between dialects and surnames. As for molecular markers, only Y-chromosomal STRs seem to be associated with the dialects, although no significant result was obtained. No evidence for correlation between molecular markers and surnames was observed. CONCLUSION Surnames act as cultural markers as do other words, although in this context they cannot be used as reliable proxies for genetic variability at a local scale.
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Affiliation(s)
- Alessio Boattini
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Bologna, Italy
| | - Eugenio Bortolini
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
| | - Roland Bauer
- Fachbereich Romanistik, Universität Salzburg, Austria
| | - Marta Ottone
- Epidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Rossella Miglio
- Department of Statistical Sciences, University of Bologna, Italy
| | - Paola Gueresi
- Department of Statistical Sciences, University of Bologna, Italy
| | - Davide Pettener
- Department of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Bologna, Italy
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Boattini A, Sarno S, Mazzarisi AM, Viroli C, De Fanti S, Bini C, Larmuseau MHD, Pelotti S, Luiselli D. Estimating Y-Str Mutation Rates and Tmrca Through Deep-Rooting Italian Pedigrees. Sci Rep 2019; 9:9032. [PMID: 31227725 PMCID: PMC6588691 DOI: 10.1038/s41598-019-45398-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 06/06/2019] [Indexed: 02/06/2023] Open
Abstract
In the population genomics era, the study of Y-chromosome variability is still of the greatest interest for several fields ranging from molecular anthropology to forensics and genetic genealogy. In particular, mutation rates of Y-chromosomal Short Tandem Repeats markers (Y-STRs) are key parameters for different interdisciplinary applications. Among them, testing the patrilineal relatedness between individuals and calculating their Time of Most Recent Common Ancestors (TMRCAs) are of the utmost importance. To provide new valuable estimates and to address these issues, we typed 47 Y-STRs (comprising Yfiler, PowerPlex23 and YfilerPlus loci, the recently defined Rapidly Mutating [RM] panel and 11 additional markers often used in genetic genealogical applications) in 135 individuals belonging to 66 deep-rooting paternal genealogies from Northern Italy. Our results confirmed that the genealogy approach is an effective way to obtain reliable Y-STR mutation rate estimates even with a limited number of samples. Moreover, they showed that the impact of multi-step mutations and backmutations is negligible within the temporal scale usually adopted by forensic and genetic genealogy analyses. We then detected a significant association between the number of mutations within genealogies and observed TMRCAs. Therefore, we compared observed and expected TMRCAs by implementing a Bayesian procedure originally designed by Walsh (2001) and showed that the method yields a good performance (up to 96.72%), especially when using the Infinite Alleles Model (IAM).
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Affiliation(s)
- Alessio Boattini
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, 40126, Bologna, Italy.
| | - Stefania Sarno
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, 40126, Bologna, Italy
| | - Alessandra M Mazzarisi
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, 40126, Bologna, Italy
| | - Cinzia Viroli
- Dipartimento di Scienze Statistiche "Paolo Fortunati", Università di Bologna, 40126, Bologna, Italy
| | - Sara De Fanti
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, 40126, Bologna, Italy
| | - Carla Bini
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, 40126, Bologna, Italy
| | - Maarten H D Larmuseau
- Laboratory of Forensic Genetics and Molecular Archaeology, Forensic Biomedical Sciences, KU Leuven, B-3000, Leuven, Belgium.,Laboratory of Socioecology and Social Evolution, Department of Biology, KU Leuven, B-3000, Leuven, Belgium
| | - Susi Pelotti
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, 40126, Bologna, Italy
| | - Donata Luiselli
- Dipartimento di Beni Culturali, Università di Bologna, 48121, Ravenna, Italy
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Comas D, Luiselli D, Rickards O. Human population genetics of the Mediterranean. Ann Hum Biol 2018; 45:1-4. [PMID: 29382281 DOI: 10.1080/03014460.2017.1416909] [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)
- David Comas
- a Department of Experimental and Health Sciences , Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra , Barcelona , Spain
| | - Donata Luiselli
- b Lab. of Molecular Anthropology & Centre of Genome Biology, Department of Biological, Geological and Environmental , University of Bologna.,c Department of the Cultural Heritage, Campus of Ravenna , University of Bologna , Bologna , Italy
| | - Olga Rickards
- d Centre of Molecular Anthropology for Ancient DNA Studies, Department of Biology , University of Rome Tor Vergata , Rome , Italy
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