Hwan Young Lee


Affiliation: Yonsei University College of Medicine
Country: Korea


  1. Lee H, An J, Jung S, Oh Y, Lee E, Choi A, et al. Genome-wide methylation profiling and a multiplex construction for the identification of body fluids using epigenetic markers. Forensic Sci Int Genet. 2015;17:17-24 pubmed publisher
  2. Lee H, Jung S, Oh Y, Choi A, Yang W, Shin K. Epigenetic age signatures in the forensically relevant body fluid of semen: a preliminary study. Forensic Sci Int Genet. 2015;19:28-34 pubmed publisher
    ..However, because the findings were limited by small sample size, it will be necessary to further evaluate the age correlation of the selected CpGs and to encourage further investigation. ..
  3. Lee E, Shin K, Rakha A, Sim J, Park M, Kim N, et al. Analysis of 22 Y chromosomal STR haplotypes and Y haplogroup distribution in Pathans of Pakistan. Forensic Sci Int Genet. 2014;11:111-6 pubmed publisher
  4. Jung S, Cho S, Antunes J, Gomes I, Uchimoto M, Oh Y, et al. A collaborative exercise on DNA methylation based body fluid typing. Electrophoresis. 2016;37:2759-2766 pubmed publisher
    ..Although the establishment of interpretational guidelines on DNA methylation based body fluid identification has yet to be performed, this study supports the addition of DNA methylation profiling to forensic body fluid typing. ..
  5. Lee H, Song I, Ha E, Cho S, Yang W, Shin K. mtDNAmanager: a Web-based tool for the management and quality analysis of mitochondrial DNA control-region sequences. BMC Bioinformatics. 2008;9:483 pubmed publisher
    ..mtDNAmanager can be accessed at http://mtmanager.yonsei.ac.kr. ..
  6. Lee H, Park M, Choi A, An J, Yang W, Shin K. Potential forensic application of DNA methylation profiling to body fluid identification. Int J Legal Med. 2012;126:55-62 pubmed publisher
  7. Lee H, Jung S, Lee E, Yang W, Shin K. DNA methylation profiling for a confirmatory test for blood, saliva, semen, vaginal fluid and menstrual blood. Forensic Sci Int Genet. 2016;24:75-82 pubmed publisher
  8. Hong S, Jung S, Lee E, Shin K, Yang W, Lee H. DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers. Forensic Sci Int Genet. 2017;29:118-125 pubmed publisher
    ..952, MAD from chronological age=3.15years). The model composed of 7 selected CpG sites enabled age prediction in saliva with high accuracy, which will be useful in saliva analysis for investigative leads. ..
  9. Cho S, Jung S, Hong S, Lee E, Lee J, Lee S, et al. Independent validation of DNA-based approaches for age prediction in blood. Forensic Sci Int Genet. 2017;29:250-256 pubmed publisher
    ..Our study demonstrates the usefulness of the proposed markers and the genotyping method in an independent dataset, and suggests the possibility of combining different types of DNA markers to improve prediction accuracy. ..