Yuya Hamano, Ken Watanabe, Kochi Toyomane, Chie Morimoto, Keiji Tamaki, T. Akutsu
{"title":"基于DNA甲基化率的Bekaert年龄估计模型的验证研究以及使用日本血液样本的新模型的开发","authors":"Yuya Hamano, Ken Watanabe, Kochi Toyomane, Chie Morimoto, Keiji Tamaki, T. Akutsu","doi":"10.3408/jafst.820","DOIUrl":null,"url":null,"abstract":"Age estimation by use of DNA methylation rate have recently been one of the hottest topics in forensic genetics, thus many age prediction models have been developed. The age prediction model developed by Bekaert et al was evaluated as the best method comparing six blood-based models in 2019. In this study, Bekaert's age estimation 3.49 and 4.51 for test set, respectively. In total, 200 ng of pre-bisulˆte-treated DNA was essential to perform these predictions. To reduce the required amount of DNA, new models based on only ELOVL2 methylation rate requiring only 40 ng of DNA were also developed. The MAE and RMSE were 3.15 and 4.20 for test set, respec-tively. These results suggest that both Bekaert's age estimation model and our novel model have great potential in estimating one's age on forensic practices with some points to note.","PeriodicalId":14709,"journal":{"name":"Japanese Journal of Forensic Science and Technology","volume":"115 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Validation study of Bekaert's age estimation model based on DNA methylation rate and development of novel models using Japanese blood samples\",\"authors\":\"Yuya Hamano, Ken Watanabe, Kochi Toyomane, Chie Morimoto, Keiji Tamaki, T. Akutsu\",\"doi\":\"10.3408/jafst.820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Age estimation by use of DNA methylation rate have recently been one of the hottest topics in forensic genetics, thus many age prediction models have been developed. The age prediction model developed by Bekaert et al was evaluated as the best method comparing six blood-based models in 2019. In this study, Bekaert's age estimation 3.49 and 4.51 for test set, respectively. In total, 200 ng of pre-bisulˆte-treated DNA was essential to perform these predictions. To reduce the required amount of DNA, new models based on only ELOVL2 methylation rate requiring only 40 ng of DNA were also developed. The MAE and RMSE were 3.15 and 4.20 for test set, respec-tively. These results suggest that both Bekaert's age estimation model and our novel model have great potential in estimating one's age on forensic practices with some points to note.\",\"PeriodicalId\":14709,\"journal\":{\"name\":\"Japanese Journal of Forensic Science and Technology\",\"volume\":\"115 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Japanese Journal of Forensic Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3408/jafst.820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese Journal of Forensic Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3408/jafst.820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Validation study of Bekaert's age estimation model based on DNA methylation rate and development of novel models using Japanese blood samples
Age estimation by use of DNA methylation rate have recently been one of the hottest topics in forensic genetics, thus many age prediction models have been developed. The age prediction model developed by Bekaert et al was evaluated as the best method comparing six blood-based models in 2019. In this study, Bekaert's age estimation 3.49 and 4.51 for test set, respectively. In total, 200 ng of pre-bisulˆte-treated DNA was essential to perform these predictions. To reduce the required amount of DNA, new models based on only ELOVL2 methylation rate requiring only 40 ng of DNA were also developed. The MAE and RMSE were 3.15 and 4.20 for test set, respec-tively. These results suggest that both Bekaert's age estimation model and our novel model have great potential in estimating one's age on forensic practices with some points to note.