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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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Yang Y, Li Q, Yang X, Zhang Z, Hu Y, Zhang Y, He F. Forensic parameters and population analysis of 21 autosomal STR loci in the Wuhu Han population from Anhui Province, East China. Ann Hum Biol 2024; 51:1-6. [PMID: 38251837 DOI: 10.1080/03014460.2023.2298470] [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: 03/03/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND At present, there are no available genetic data on the AGCU EX22 Kit from the Wuhu Han population. AIM This study investigates the applicability of the AGCU EX22 kit, designed for the Chinese population for forensic analysis and population genetics of the Wuhu Han population. SUBJECTS AND METHODS Bloodstains from 1565 unrelated healthy individuals in Wuhu city, Anhui Province, were collected for analysis. The AGCU EX22 kit was used for amplification, and capillary electrophoresis was used to separate the amplification products. Allele frequencies and forensic parameters were determined. The Wuhu Han population was compared to 10 reference populations through genetic distance, a phylogenetic neighbor-joining tree and principal component analysis. RESULTS In total, 281 alleles and 1187 genotypes were observed. No significant deviations from Hardy-Weinberg equilibrium at any locus were found after Bonferroni's correction. The 21 autosomal short tandem repeat (STR) genetic markers exhibited high informativeness and polymorphism. The cumulative power of discrimination and power of exclusion were 0.999999999999999999999999913380 and 0.999999996752339, respectively. Population comparisons revealed a genetic affinity between Wuhu Han and southern Han populations, except for the Guangdong Han population, which aligned with the traditional geographical division in China. CONCLUSION The AGCU EX22 Kit, containing 21 STR loci, is suitable for forensic application and population genetics studies in the Wuhu Han population.
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Affiliation(s)
- Yanyan Yang
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
| | - Qianqian Li
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
| | - Xinrui Yang
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
| | - Ziwei Zhang
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
| | - Yongliang Hu
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
| | - Yue Zhang
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
| | - Fang He
- Department of Forensic Genetics, Wannan Medical College, Wuhu, PR China
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Hernández Bustos A, Martiny E, Bom Pedersen N, Parvathaneni RP, Hansen J, Ji HP, Astakhova K. Short Tandem Repeat DNA Profiling Using Perylene-Oligonucleotide Fluorescence Assay. Anal Chem 2023; 95:7872-7879. [PMID: 37183373 DOI: 10.1021/acs.analchem.3c00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
We report an amplification-free genotyping method to determine the number of human short tandem repeats (STRs). DNA-based STR profiling is a robust method for genetic identification purposes such as forensics and biobanking and for identifying specific molecular subtypes of cancer. STR detection requires polymerase amplification, which introduces errors that obscure the correct genotype. We developed a new method that requires no polymerase. First, we synthesized perylene-nucleoside reagents and incorporated them into oligonucleotide probes that recognize five common human STRs. Using these probes and a bead-based hybridization approach, accurate STR detection was achieved in only 1.5 h, including DNA preparation steps, with up to a 1000-fold target DNA enrichment. This method was comparable to PCR-based assays. Using standard fluorometry, the limit of detection was 2.00 ± 0.07 pM for a given target. We used this assay to accurately identify STRs from 50 human subjects, achieving >98% consensus with sequencing data for STR genotyping.
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Affiliation(s)
- Adrián Hernández Bustos
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Region Hovedstaden 2800, Denmark
| | - Elisa Martiny
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Region Hovedstaden 2800, Denmark
| | - Nadia Bom Pedersen
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Region Hovedstaden 2800, Denmark
| | - Rohith Pavan Parvathaneni
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Region Hovedstaden 2800, Denmark
| | - Jonas Hansen
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Region Hovedstaden 2800, Denmark
- School of Medicine, Stanford University, 94305 Stanford, California, United States
| | - Hanlee P Ji
- School of Medicine, Stanford University, 94305 Stanford, California, United States
| | - Kira Astakhova
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Region Hovedstaden 2800, Denmark
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Chen A, Xiong L, Qu Y, Xi S, Tao R, Li C, Zhang S. Opportunity of Next-Generation Sequencing-Based Short Tandem Repeat System for Tumor Source Identification. Front Oncol 2022; 12:800028. [PMID: 35223480 PMCID: PMC8873583 DOI: 10.3389/fonc.2022.800028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/21/2022] [Indexed: 11/29/2022] Open
Abstract
Personal identification using the tumor DNA not only plays an important role in postoperative tissue management but also might be the only accessible source of biological material in forensic identification. Short tandem repeat (STR) is the worldwide accepted forensic marker; however, widespread loss of heterozygosity (L) in tumor tissues challenges the personal identification using the conventional capillary electrophoresis (CE)-based STR typing system (CE-STR). Because the tumors are mixtures of tumor cells and basal cells, we inferred that every germline-originated allele should be detected if the detection method was sensitive enough. Next-generation sequencing (NGS) is known as a highly sensitive application, which might be a promising tool for tumor source identification. In the study, we genotyped and compared the STR results between the platforms, and we found that the concordance was only 91.43%. Higher sensitivity did help identify more germline-originated alleles as expected, and 93.89% of them could be captured by using an NGS-based STR system (NGS-STR). The identity-by-state (IBS) scoring system was applied to generate a new tumor source identification method based on NGS-STR, and the number of loci with 2 identical alleles (A2) proved to be an ideal criterion for the larger area under the receiver operating characteristic (ROC) curve (AUC). Both the sensitivity and specificity were above 98% in the cutoff of A2 to distinguish the paired carcinoma (PC) sample group from the unrelated individual (UI) group, the simulated full sibling (FS) group, and the simulated parent–offspring (PO) group.
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Affiliation(s)
- Anqi Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- Department of Forensic Medicine, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Xiong
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Yiling Qu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Shihan Xi
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- Department of Forensic Medicine, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Chengtao Li, ; Suhua Zhang,
| | - Suhua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- *Correspondence: Chengtao Li, ; Suhua Zhang,
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