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DNA methylation-based age prediction from various tissues and body fluids

DC Field Value Language
dc.contributor.author신경진-
dc.contributor.author이환영-
dc.contributor.author정상은-
dc.date.accessioned2018-07-20T11:55:10Z-
dc.date.available2018-07-20T11:55:10Z-
dc.date.issued2017-
dc.identifier.issn1976-6696-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/161496-
dc.description.abstractAging is a natural and gradual process in human life. It is influenced by heredity, environment, lifestyle, and disease. DNA methylation varies with age, and the ability to predict the age of donor using DNA from evidence materials at a crime scene is of considerable value in forensic investigations. Recently, many studies have reported age prediction models based on DNA methylation from various tissues and body fluids. Those models seem to be very promising because of their high prediction accuracies. In this review, the changes of age-associated DNA methylation and the age prediction models for various tissues and body fluids were examined, and then the applicability of the DNA methylation-based age prediction method to the forensic investigations was discussed. This will improve the understandings about DNA methylation markers and their potential to be used as biomarkers in the forensic field, as well as the clinical field.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorean Society for Biochemistry and Molecular Biology-
dc.relation.isPartOfBMB REPORTS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleDNA methylation-based age prediction from various tissues and body fluids-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Forensic Medicine-
dc.contributor.googleauthorSang-Eun Jung-
dc.contributor.googleauthorKyoung-Jin Shin-
dc.contributor.googleauthorHwan Young Lee-
dc.identifier.doi10.5483/BMBRep.2017.50.11.175-
dc.contributor.localIdA02085-
dc.contributor.localIdA03335-
dc.contributor.localIdA03614-
dc.relation.journalcodeJ00348-
dc.identifier.eissn1976-670X-
dc.identifier.pmid28946940-
dc.subject.keywordAge prediction-
dc.subject.keywordDNA methylation-
dc.subject.keywordForensic genetics-
dc.contributor.alternativeNameShin, Kyoung Jin-
dc.contributor.alternativeNameLee, Hwan Young-
dc.contributor.alternativeNameJung, Sang Eun-
dc.contributor.affiliatedAuthorShin, Kyoung Jin-
dc.contributor.affiliatedAuthorLee, Hwan Young-
dc.contributor.affiliatedAuthorJung, Sang Eun-
dc.citation.volume50-
dc.citation.number11-
dc.citation.startPage546-
dc.citation.endPage553-
dc.identifier.bibliographicCitationBMB REPORTS, Vol.50(11) : 546-553, 2017-
dc.identifier.rimsid61403-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Forensic Medicine (법의학과) > 1. Journal Papers

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