Hwan Young Lee

Potential forensic application of DNA methylation profiling to body fluid identification

DNA analysis of various body fluid stains at crime scenes facilitates the identification of individuals but does not currently determine the type and origin of the biological material. Recent advances in whole genome epigenetic analysis indicate that chromosome pieces called tDMRs (tissue-specific differentially methylated regions) show different DNA methylation profiles according to the type of cell or tissue. We examined the potential of tissue-specific differential DNA methylation for body fluid identification. Five tDMRs for the genes DACT1, USP49, HOXA4, PFN3, and PRMT2 were selected, and DNA methylation profiles for these tDMRs were produced by bisulfite sequencing using pooled DNA from blood, saliva, semen, menstrual blood, and vaginal fluid. The tDMRs for DACT1 and USP49 showed semen-specific hypomethylation, and the tDMRs for HOXA4, PFN3, and PRMT2 displayed varying degrees of methylation according to the type of body fluid. Preliminary tests using methylation-specific PCR for the DACT1 and USP49 tDMRs showed that these two markers could be used successfully to identify semen samples including sperm cells. Body fluid-specific differential DNA methylation may be a promising indicator for body fluid identification. Because DNA methylation profiling uses the same biological source of DNA for individual identification profiling, the determination of more body fluid-specific tDMRs and the development of convenient tDMR analysis methods will facilitate the broad implementation of body fluid identification in forensic casework.

Mitochondrial DNA control region sequences in Koreans: identification of useful variable sites and phylogenetic analysis for mtDNA data quality control

We have established a high-quality mtDNA control region sequence database for Koreans. To identify polymorphic sites and to determine their frequencies and haplotype frequencies, the complete mtDNA control region was sequenced in 593 Koreans, and major length variants of poly-cytosine tracts in HV2 and HV3 were determined in length heteroplasmic individuals by PCR analysis using fluorescence-labeled primers. Sequence comparison showed that 494 haplotypes defined by 285 variable sites were found when the major poly-cytosine tract genotypes were considered in distinguishing haplotypes, whereas 441 haplotypes were found when the poly-cytosine tracts were ignored. Statistical parameters indicated that analysis of partial mtDNA control region which encompasses the extended regions of HV1 and HV2, CA dinucleotide repeats in HV3 and nucleotide position 16497, 16519, 456, 489 and 499 (HV1ex+HV2ex+HV3CA+5SNPs) and the analysis of another partial mtDNA control region including extended regions of HV1 and HV2, HV3 region and nucleotide position 16497 and 16519 (HV1ex+HV2ex+HV3+2SNPs) can be used as efficient alternatives for the analysis of the entire mtDNA control region in Koreans. Also, we collated the basic informative SNPs, suggested the important mutation motifs for the assignment of East Asian haplogroups, and classified 592 Korean mtDNAs (99.8%) into various East Asian haplogroups or sub-haplogroups. Haplogroup-directed database comparisons confirmed the absence of any major systematic errors in our data, e.g., a mix-up of site designations, base shifts or mistypings.

Simple and highly effective DNA extraction methods from old skeletal remains using silica columns

The recovery of DNA data from old skeletal remains is often difficult due to degraded and very low yield of extracted DNA and the presence of PCR inhibitors. Herein, we compared several silica-based DNA extraction methods from artificially degraded DNA, DNA with PCR inhibitors and DNA from old skeletal remains using quantitative real-time PCR. We present a modified large-scale silica-based extraction combined with complete demineralization, that enables maximum DNA recovery and efficient elimination of PCR inhibitors. This is performed with high concentration of EDTA solution for demineralization of bone powder followed by QIAamp spin columns and buffers from the QIAquick PCR purification kit. We have successfully used this modified technique to perform STR analysis for 55-year-old skeletal remains. The results of this study will contribute to solve the forensic cases dealing with skeletal remains.

DNA methylation-specific multiplex assays for body fluid identification

Recent advances in whole-genome epigenetic analysis indicate that chromosome segments called tissue-specific differentially methylated regions (tDMRs) show different DNA methylation profiles according to cell or tissue type. Therefore, body fluid-specific differential DNA methylation is a promising indicator for body fluid identification. However, DNA methylation patterns are susceptible to change in response to environmental factors and aging. Therefore, we investigated age-related methylation changes in semen-specific tDMRs using body fluids from young and elderly men. After confirming the stability of the body fluid-specific DNA methylation profile over time, two different multiplex PCR systems were constructed using methylation-sensitive restriction enzyme PCR and methylation SNaPshot, in order to analyze the methylation status of specific CpG sites from the USP49, DACT1, PRMT2, and PFN3 tDMRs. Both multiplex systems could successfully identify semen with spermatozoa and could differentiate menstrual blood and vaginal fluids from blood and saliva. Although including more markers for body fluid identification might be necessary, this study adds to the support that body fluid identification by DNA methylation profiles could be a valuable tool for forensic analysis of body fluids.

Haplotypes and mutation analysis of 22 Y-chromosomal STRs in Korean father–son pairs

We analyzed 369 Korean father/son haplotype transfers in 355 families at 22 Y-STRs (DYS19, DYS389I/II, DYS390, DYS391, DYS392, DYS393, DYS385, DYS388, DYS437, DYS438, DYS439, DYS446, DYS447, DYS448, DYS449, DYS456, DYS458, DYS464, DYS635, and GATA H4.1). A total of 350 haplotypes were observed with an overall haplotype diversity of 0.9999. Among these, 345 were unique and five were found twice. Furthermore, 36 mutations were identified, giving locus-specific mutation rate estimates between 0.0 and 19.0 × 10−3 per generation and an average mutation rate estimate of 3.9 × 10−3 (95% CI 2.7–5.4 × 10−3). The compilation of Y-STR mutation events for the present study and previous studies demonstrates that DYS449, DYS458, DYS635, DYS456 and DYS439 are the most prone to mutations and that their overall average mutation rate estimate is 2.36 × 10–3 (95% CI 2.03–2.73 × 10–33).

Five highly informative X-chromosomal STRs in Koreans

The five X-chromosomal short tandem repeats (STRs) GATA172D05, HPRTB, DXS8377, DXS101 and HumARA were analyzed in 150 males and 150 females from Korea. Markers were amplified in a quadruplex and a monoplex PCR reaction with fluorescently labeled primers. For accurate and reproducible STR typing, sequenced allelic ladders were constructed and a Genotyper macro was programmed. Some differences were found on comparing the allele frequencies of Koreans with those of other populations in DXS8377, DXS101 and HumARA. The forensic efficiency parameters showed that the five X-linked STRs are highly informative for forensic application in Koreans.

Body fluid identification by integrated analysis of DNA methylation and body fluid-specific microbial DNA

Identification of body fluids found at crime scenes provides important information that can support a link between sample donors and actual criminal acts. Previous studies have reported that DNA methylation analysis at several tissue-specific differentially methylated regions (tDMRs) enables successful identification of semen, and the detection of certain bacterial DNA can allow for identification of saliva and vaginal fluid. In the present study, a method for detecting bacterial DNA was integrated into a previously reported multiplex methylation-sensitive restriction enzyme-polymerase chain reaction. The developed multiplex PCR was modified by the addition of a new semen-specific marker and by including amplicons for the 16S ribosomal RNA gene of saliva- and vaginal fluid-specific bacteria to improve the efficacy to detect a specific type of body fluid. Using the developed multiplex system, semen was distinguishable by unmethylation at the USP49, DACT1, and PFN3 tDMRs and by hypermethylation at L81528, and saliva could be identified by detection of saliva-specific bacteria, Veillonella atypica and/or Streptococcus salivarius. Additionally, vaginal fluid and menstrual blood were differentiated from other body fluids by hypomethylation at the PFN3 tDMR and the presence of vaginal fluid-specific bacteria, Lactobacillus crispatus and/or Lactobacillus gasseri. Because the developed multiplex system uses the same biological source of DNA for individual identification profiling and simultaneously analyses various types of body fluid in one PCR reaction, this method will facilitate more efficient body fluid identification in forensic casework.

Epigenetic age signatures in the forensically relevant body fluid of semen: a preliminary study

To date, DNA methylation has been regarded as the most promising age-predictive biomarker. In support of this, several researchers have reported age predictive models based on the use of blood or even across a broad spectrum of tissues. However, there have been no publications that report epigenetic age signatures from semen, one of the most forensically relevant body fluids. In genome-wide DNA methylation profiles of 36 body fluids including blood, saliva, and semen, the previous age predictive models showed considerable prediction accuracy in blood and saliva but not in semen. Therefore, we selected CpG sites, whose methylation levels are strongly correlated with age in 12 semen profiles obtained from individuals of different ages, and investigated DNA methylation changes at these CpGs in 68 additional semen samples obtained from individuals aged 20 to 73 years using methylation SNaPshot reaction. Among the selected age-related CpG candidates, outstanding age correlation was obtained at cg06304190 in the TTC7B gene. Interestingly, the region around the TTC7B gene has been reported to show age-related DNA methylation alteration in the sperm methylome of 2 samples collected from individuals at certain time intervals. The age-predictive linear regression model trained with 3 CpGs (cg06304190 in the TTC7B gene, cg06979108 in the NOX4 gene and cg12837463) showed a high correlation between the predicted age and the chronological age, with an average absolute difference of approximately 5 years. These selected epigenetic age signatures are expected to be useful for considerably accurate age estimation in the forensically relevant body fluid of semen. 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.

Genome-wide methylation profiling and a multiplex construction for the identification of body fluids using epigenetic markers

The identification of body fluids found at crime scenes can contribute to solving crimes by providing important insights into crime scene reconstruction. In the present study, body fluid-specific epigenetic marker candidates were identified from genome-wide DNA methylation profiling of 42 body fluid samples including blood, saliva, semen, vaginal fluid and menstrual blood using the Illumina Infinium HumanMethylation450 BeadChip array. A total of 64 CpG sites were selected as body fluid-specific marker candidates by having more than 20% discrepancy in DNA methylation status between a certain type of body fluid and other types of body fluids and to have methylation or unmethylation pattern only in a particular type of body fluid. From further locus-specific methylation analysis in additional samples, 1 to 3 CpG sites were selected for each body fluid. Then, a multiplex methylation SNaPshot reaction was constructed to analyze methylation status of 8 body fluid-specific CpG sites. The developed multiplex reaction positively identifies blood, saliva, semen and the body fluid which originates from female reproductive organ in one reaction, and produces successful DNA methylation profiles in aged or mixed samples. Although it remains to be investigated whether this approach is more sensitive, more practical than RNA- or peptide-based assays and whether it can be successfully applied to forensic casework, the results of the present study will be useful for the forensic investigators dealing with body fluid samples.

Forensic and genetic characterization of mtDNA from Pathans of Pakistan

Complete mitochondrial control region data were generated for 230 unrelated Pathans from North West Frontier Province and Federally Administered Tribal Areas of Pakistan. To confirm data quality and to explore the genetic structure of Pathans, mitochondrial DNA haplogroup affiliation was determined by shared haplogroup-specific polymorphisms in the control region and by the analysis of diagnostic coding region single-nucleotide polymorphisms using a multiplex system for the assignment of eight haplogroups: M, N1′5, W, R, R0, T, J, and U. Sequence comparison revealed that 193 haplotypes were defined by 215 variable sites when major insertions were ignored at nucleotide positions 16193, 309, and 573. From a phylogenetic perspective, Pathans have a heterogeneous origin, displaying a high percentage of West Eurasian haplogroups followed by haplogroups native to South Asia and a small fraction from East Asian lineages. In population comparisons, this ethnic group differed significantly from several other ethnic groups from Pakistan and surrounding countries. These results suggest that frequency estimates for mtDNA haplotypes should be determined for endogamous ethnic groups individually instead of pooling data for these subpopulations into a single dataset for the Pakistani population. Data presented here may contribute to the accuracy of forensic mtDNA comparisons in the Pathans of Pakistan.