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Tan M, Xue J, Wu Q, Zheng Y, Liu G, Zhang R, Wu M, Song J, Xiao Y, Chen D, Lv M, Liao M, Qu S, Liang W. Improving DNA mixtures analysis using compound markers composed of InDels and SNPs screened from the whole genome with next-generation sequencing. Electrophoresis 2024; 45:463-473. [PMID: 37946554 DOI: 10.1002/elps.202300195] [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: 09/04/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/12/2023]
Abstract
Next-generation sequencing (NGS) allows for better identification of insertion and deletion polymorphisms (InDels) and their combination with adjacent single nucleotide polymorphisms (SNPs) to form compound markers. These markers can improve the polymorphism of microhaplotypes (MHs) within the same length range, and thus, boost the efficiency of DNA mixture analysis. In this study, we screened InDels and SNPs across the whole genome and selected highly polymorphic markers composed of InDels and/or SNPs within 300 bp. Further, we successfully developed and evaluated an NGS-based panel comprising 55 loci, of which 24 were composed of both SNPs and InDels. Analysis of 124 unrelated Southern Han Chinese revealed an average effective number of alleles (Ae ) of 7.52 for this panel. The cumulative power of discrimination and cumulative probability of exclusion values of the 55 loci were 1-2.37 × 10-73 and 1-1.19 × 10-28 , respectively. Additionally, this panel exhibited high allele detection rates of over 97% in each of the 21 artificial mixtures involving from two to six contributors at different mixing ratios. We used EuroForMix to calculate the likelihood ratio (LR) and evaluate the evidence strength provided by this panel, and it could assess evidence strength with LR, distinguishing real and noncontributors. In conclusion, our panel holds great potential for detecting and analyzing DNA mixtures in forensic applications, with the capability to enhance routine mixture analysis.
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Affiliation(s)
- Mengyu Tan
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Jiaming Xue
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Qiushuo Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Yazi Zheng
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Guihong Liu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Ranran Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Mengna Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Jinlong Song
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Yuanyuan Xiao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Dezhi Chen
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Meili Lv
- Department of Immunology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Miao Liao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Shengqiu Qu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Weibo Liang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
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Large fragment Sanger sequencing identifies the newly encountered variant that caused null alleles in parentage testing. Int J Legal Med 2023; 137:57-61. [PMID: 36318298 DOI: 10.1007/s00414-022-02901-2] [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: 07/26/2022] [Accepted: 10/10/2022] [Indexed: 11/05/2022]
Abstract
Short tandem repeat (STR) is regarded as a crucial tool for personal identification as well as parentage testing. Thus, genotyping errors of STRs could have negative effects on the reliability of forensic identification. A null allele at the combined DNA index system (CODIS) core loci D2S1338 was found in a father-daughter pair with the AGCU Expressmarker 22 kit which was a commonly used commercial kit during our daily laboratory work. This null allele caused the father and daughter to not conform to the laws of inheritance, thus potentially generating erroneous conclusions that excluded parentage. To figure out the reason for this phenomenon, re-amplification with new primers and then large fragment Sanger sequencing was conducted. We found a G to G/T variation at the position which is fifty-nine bases away from the 3' end of the core repeat in both samples. This probably could be considered a novel variant at the primer binding region which had not been reported that resulted in the emergence of the null allele. We also found that there was more than one single-nucleotide polymorphism (SNP) with minor allele frequency (MAF) greater than 0.1 in the upstream and downstream sequences of D2S1338. When designing primers for amplification of D2S1338, the possible adverse results of these SNPs should be taken into account and avoided.
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Chen G, Tan W, Zhang S, Yan B. Influence of Interpersonal and Institutional Trust on the Participation Willingness of Farmers in E-Commerce Poverty Alleviation. Front Psychol 2021; 12:727644. [PMID: 34777109 PMCID: PMC8586645 DOI: 10.3389/fpsyg.2021.727644] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
To explore the influence of interpersonal trust and institutional trust on the participation willingness of farmers in e-commerce poverty alleviation in China, a questionnaire survey of 320 farmers in Chongqing Ecological Tourism District was adopted for data collection, and a binary logistic model was used for data analysis. The results showed that (1) both interpersonal trust and institutional trust had a positive influence on the participation behavior of farmers in e-commerce poverty alleviation, and the priority ranking from high to low was: trust in government, trust in relatives, trust in neighbors, and trust in village cadres. (2) Institutional trust had a greater impact on the participation behavior of farmers than interpersonal trust, especially in the poverty-stricken areas where economic development was relatively backward. (3) Individual attributes, household attributes, and rural resource attributes had a significant positive impact on the participation intention of farmers. Among these, the role of rural e-business service platform was particularly important. The role of institutional trust at the village level still did not perform well in promoting the participation willingness of farmers. Based on empirical analysis, the suggestions for promoting the active cooperation of farmers and participating in the cooperation of e-business were put forward, such as enhancing the interpersonal network of farmers, improving the rural e-commerce information service platform, and strengthening the construction of the rural business environment.
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Affiliation(s)
- Guoyi Chen
- Department of Business Management, Chongqing Three Gorges University, Chongqing, China
| | - Wei Tan
- Department of Public Administration, Chongqing Three Gorges University, Chongqing, China
| | - Shangmin Zhang
- Department of Business Management, Chongqing Three Gorges University, Chongqing, China
| | - Bangquan Yan
- Department of Business Management, Chongqing Three Gorges University, Chongqing, China
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Lu X, Yang S, Jiang Y, Li K, Zhao F, Yang X, Zhang N, Zhang S, Xia S, Wu L, Zhong S. Genetic variation of 20 autosomal STR loci in the Han nationality in Central Yunnan, Southwest China. Leg Med (Tokyo) 2020; 48:101807. [PMID: 33227651 DOI: 10.1016/j.legalmed.2020.101807] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 10/20/2020] [Accepted: 10/29/2020] [Indexed: 11/26/2022]
Abstract
A total of 20 autosomal short tandem repeat (STR) loci from 2220 unrelated healthy individuals of Han population living in the central area of Yunnan province, Southwest China were amplified with the PowerPlex® 21 System. After Hardy-Weinberg equilibrium examination, the allele frequencies and forensic statistical parameters of 20 STR loci were evaluated. A total of 298 alleles and 1225 genotypes were observed for all the 20 loci. The allele frequencies varied from 0.0002 to 0.5130. The combined power of discrimination and the combined probability of exclusion of all 20 STR loci were 0.99999999521565 and 0.999999999999999999999999637, respectively. Meanwhile, genetic distances between Central Yunnan Han and 17 previously published populations were compared and a neighbor-joining (NJ) phylogenetic tree was developed and visualized by using MEGA 7 based on Nei's standard genetic distance. The results demonstrated that these loci were highly polymorphic in the Han nationality in Central Yunnan, Southwest China and could be applied in forensic medicine and population genetics.
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Affiliation(s)
- Xiaoxiao Lu
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Shuo Yang
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Yanling Jiang
- School of Public Health, Kunming Medical University, Kunming 650500, China
| | - Kuan Li
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Fei Zhao
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China; Jiangxi Shenzhou Judicial Identification Center, Nanchang 330000, China
| | - Xiaopei Yang
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China; Chuxiong Medical and Pharmaceutical College, Chuxiong 675005, China
| | - Ning Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Shouxun Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Sheng Xia
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Linxiong Wu
- School of Public Health, Kunming Medical University, Kunming 650500, China.
| | - Shurong Zhong
- School of Forensic Medicine, Kunming Medical University, Kunming 650500, China; Judicial Identification Center of Kunming Medical University, Kunming 650500, China.
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Fu J, Cheng J, Liu X, Li J, Wei C, Zheng X, He T, Fu J. Evaluation genotypes of cancer cell lines HCC1954 and SiHa by short tandem repeat (STR) analysis and DNA sequencing. Mol Biol Rep 2018; 45:2689-2695. [PMID: 30390187 DOI: 10.1007/s11033-018-4438-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 10/10/2018] [Indexed: 12/26/2022]
Abstract
Cancer cell lines are used worldwide in biomedical researches, and data interpretation solely depends on unambiguous attribution of those respective cell lines to its original sources. Approximately one-third of all cell lines have an origin other than that assumed, leading to invalid results. It is necessary to characterize the origin of cell lines. Short-tandem-repeat (STR) fingerprinting (DNA fingerprinting) is the method for characterization of genetic identity in cultured cell lines under certain experimental conditions. We showed the fingerprinting profiles in a summed and unidentified human cancer cell line comparison to HCC1954 cell line, revealing marked alterations in DNA fingerprinting profiles up to fourteen STR loci from 16 loci. Furthermore, Sanger DNA sequencing showed no c.3140A > G heterozygous mutation in the PIK3CA gene of this suspected HCC1954 cell line. In addition, we showed the fingerprinting profiles in an unidentified cancer cell line comparison to SiHa cervical cell line, revealing same DNA fingerprinting profiles. In conclusion, we have successfully authenticated and identified both suspected HCC1954 and SiHa cell lines by STR analysis and DNA sequencing. STR analysis combined DNA sequencing may be very useful to evaluate genotypes of cancer cell lines in our cancer studies, as well as in judicial authentication and forensic sciences.
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Affiliation(s)
- Jiewen Fu
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.,Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Jingliang Cheng
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.,Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Xiaoyan Liu
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Jun Li
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Chunli Wei
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Xiaoli Zheng
- Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Tao He
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China. .,Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China.
| | - Junjiang Fu
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China. .,Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China.
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