Development of the decision tree model for distinguishing individuals of Chinese four surnames from Zhanjiang Han population based on Y-STR haplotypes |
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| Institution: | 1. Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China;2. College of Forensic Science, Xi’an Jiaotong University Health Science Center, Xi’an, China;3. Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China;4. Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China;5. Medical Genetic Institute of Henan Province, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China;1. Liverpool John Moores University, IC1 Liverpool Science Park, 131 Mount Pleasant, L3 5TF Liverpool, UK;2. University of Dundee, College of Life Sciences, Dow Street, DD1 5EH Dundee, UK;3. Institute for Legal Medicine, Johannisallee 28, 04103 Leipzig, Germany;1. Department of Legal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195, Japan;2. Poison Analysis Center, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195, Japan;3. Department of Biomedical Sciences, Chubu University College of Life and Health Sciences, 1200 Matsumoto?cho, Kasugai 487?8501, Japan;4. Department of Medical Technology, Shubun University, 6 Nikko-cho, Ichinomiya, Aichi 491-0938, Japan;1. Department of Legal Medicine, Toho University School of Medicine, Japan;2. Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Japan;1. MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, 200438, China;2. Human Phenome Institute, Fudan University, Shanghai, 200438, China;3. Fudan University Taizhou Institute of Health Sciences, Taizhou, 225300, Jiangsu, China;4. Department of Human Anatomy, School of Basic Medicine, China Medical University, Shenyang, 110122, China;5. Public Security Bureau of Zibo City, Zibo, 255000, Shandong, China;6. Criminal Investigation Department of Yunnan Province, Kunming, 650021, Yunnan, China;7. Department of Oral & Maxillofacial-Head & Neck Oncology, Shanghai Ninth People’s Hospital, College of Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China;1. Department of Mathematical Sciences, Aalborg University, Skjernvej 4A, DK-9220 Aalborg East, Denmark;2. Melbourne Integrative Genomics, School of BioSciences and School of Mathematics & Statistics, University of Melbourne, Building 184, Royal Parade, Parkville 3010, Victoria, Australia;1. Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, People’s Republic of China;2. Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China;3. Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, People’s Republic of China |
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| Abstract: | Co-separation studies between surnames and Y chromosome genetic markers are beneficial to revealing population migrations, surname origins, population formation histories and forensic familial searching. Genetic distributions of 27 Y-STRs in Chinese four surnames (Li, Lin, Chen and Huang) from Zhanjiang Han population were investigated. Meanwhile, we tried to develop a decision tree model for surname predictions based on Y-STR haplotypes. Allelic frequencies of 27 Y-STRs showed that unique alleles were only observed in a certain surname; besides, some alleles displayed higher frequencies in a certain surname than those in other surnames, implying these alleles might be employed as the useful indicators for surname predictions. Haplotype match probability values of 27 Y-STRs in these surnames revealed that the system could be used as a valuable tool for forensic male identification. The developed decision tree model performed well for the training set with the accuracy of 0.9860 and obtained the relatively high accuracy (>0.70) for surname predictions of the testing set. To sum up, we explored the power of the machine learning to the surname predictions based on obtained Y-STR haplotypes, which showed promising application values in forensic familial searching. |
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| Keywords: | Y-STRs Surname inferences The decision tree Forensic familial searching Zhanjiang Han |
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