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Research endeavors in Yonsei DNA Profiling Group cover a wide range of forensic and human genetics including population studies of DNA polymorphisms, DNA typing methodologies and strategies, DNA databases and data quality control, and evolutionary demographics.

Rapidly increasing amounts of data from a variety of sources requires the ability to evaluate and integrate this information in order to make meaningful research. As we are interested in the application of mitochondrial DNA to kinship analysis and evolutionary genetics, a forensic mitochondrial DNA database, mtDNAmanager (http://mtmanager.yonsei.ac.kr) was recently developed by our group. It is a web-based bioinformatics resource aimed at supporting mitochondrial DNA data quality control and generating reliable frequency estimates from various population groups. This application provides an easily accessible web interface for researchers to determine if a mitochondrial DNA sequence is reliable for further analysis, and thus should be very useful for population, medical, and forensic studies that employ mitochondrial DNA analysis. In addition, we are now working together with the MAKRI (Ministry of Naional Defense Agency for Killed In Action Recovery and Identification) in order to identify the missing casualties of the Korean War (1950-1953). To facilitate obtaining DNA profiles from highly degraded samples such as old skeletal remains, we have also developed a modified mini-primer set for the mitochondrial DNA control region sequence analysis and several mini-STR systems for autosomal- and Y-chromosomal STR analyses.

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Selected Recent Publications:

7. Kim BM, Hong SR, Chun H, Kim S, Shin KJ. Comparison of whole mitochondrial genome variants between hair shafts and reference samples using massively parallel sequencing. Int J Legal Med. 2020;134(3):853-861.
6. Hong SR, Shin KJ, Jung SE, Lee EH, Lee HY. Platform-independent models for age prediction using DNA methylation data. Forensic Sci Int Genet. 2019;38:39-47.
5. Jung SE, Lim SM, Hong SR, Lee EH, Shin KJ, Lee HY. DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples. Forensic Sci Int Genet. 2019;38:1-8.
4. Jung SE, Shin KJ, Lee HY. DNA methylation-based age prediction from various tissues and body fluids. BMB Rep. 2017;50(11):546-553.
3. Kim EH, Lee HY, Kwon SY, Lee EY, Yang WI, Shin KJ. Sequence-based diversity of 23 autosomal STR loci in Koreans investigated using an in-house massively parallel sequencing panel. Forensic Sci Int Genet. 2017;30:134-140.
2. Hong SR, Jung SE, Lee EH, Shin KJ, Yang WI, Lee HY. DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers. Forensic Sci Int Genet. 2017;29:118-125.
1. Lee EY, Lee HY, Kwon SY, Oh YN, Yang WI, Shin KJ. A multiplex PCR system for 13 RM Y-STRs with separate amplification of two different repeat motif structures in DYF403S1a. Forensic Sci Int Genet. 2017;26:85-90.