George Duncan

The determination of tissue-specific DNA methylation patterns in forensic biofluids using bisulfite modification and pyrosequencing.

The goal of this study is to explore the application of epigenetic markers in the identification of biofluids that are commonly found at the crime scene. A series of genetic loci were examined in order to define epigenetic markers that display differential methylation patterns between blood, saliva, semen, and epithelial tissue. Among the different loci tested, we have identified a panel of markers, C20orf117, ZC3H12D, BCAS4, and FGF7, that can be used in the determination of these four tissue types. Since methylation modifications occur at cytosine bases that are immediately followed by guanine bases (CpG sites), methylation levels were measured at CpG sites spanning each marker. Up to 11 samples of each tissue type were collected and subjected to bisulfite modification to convert unmethylated CpG‐associated cytosine bases to thymine bases. The bisulfite modified DNA was then amplified via nested PCR using a primer set of which one primer was biotin labeled. Biotinylated PCR products were in turn analyzed and the methylation level at each CpG site was quantitated by pyrosequencing. The percent methylation values at each CpG site were determined and averaged for each tissue type. The results indicated significant methylation differences between the tissue types. The methylation patterns at the ZC3H12D and FGF7 loci differentiated sperm from blood, saliva, and epithelial cells. The C20orf117 locus differentiated blood from sperm, saliva, and epithelial cells and saliva was differentiated from blood, sperm, and epithelial cells at a fourth locus, BCAS4. The results of this study demonstrate the applicability of epigenetic markers as a novel tool for the determination of biofluids using bisulfite modification and pyrosequencing.

Evaluation of DNA methylation markers and their potential to predict human aging

We present epigenetic methylation data for two genetic loci, GRIA2, and NPTX2, which were tested for prediction of age from different donors of biofluids. We analyzed 44 saliva samples and 23 blood samples from volunteers with ages ranging from 5 to 72 years. DNA was extracted and bisulfite modified using commercial kits. Specific primers were used for amplification and methylation profiles were determined by pyrosequencing. Methylation data from both markers and their relationship with age were determined using linear regression analysis, which indicates a positive correlation between methylation and age. Older individuals tend to have increased methylation in both markers compared to younger individuals and this trend was more pronounced in the GRIA2 locus when compared to NPTX2. The epigenetic predicted age, calculated using a GRIA2 regression analysis model, was strongly correlated to chronological age (R2 = 0.801), with an average difference of 6.9 years between estimated and observed ages. When using a NPTX2 regression model, we observed a lower correlation between predicted and chronological age (R2 = 0.654), with an average difference of 9.2 years. These data indicate these loci can be used as a novel tool for age prediction with potential applications in many areas, including clinical and forensic investigations.

A low-cost, high-throughput, automated single nucleotide polymorphism assay for forensic human DNA applications

Single nucleotide polymorphism (SNP) analysis of human DNA for the purpose of identification has some promising attributes. The question of approach is critical to the eventual adoption of this technology. The use of a low-volume open array platform was tested with a small selected set of eight SNP primers that have a low F(ST) (the proportion of the total genetic variance contained in a subpopulation [S subscript] relative to the total genetic variance [T subscript]) in human populations. Because multiple SNPs must be interrogated, issues concerning DNA concentration, total DNA, and whole genome amplification were investigated. Excellent correlations were obtained for seven of the eight SNP assays on a set of DNA samples of known configuration over a broad concentration range spanning 25-150ng/microl in blind studies. These seven SNP assays were then applied to 39 DNA samples in a population from southern India. These SNPs were sufficient to individualize each member of this sample population. In a paternity study, these same SNPs showed clear parental relationships. For low amounts of genomic DNA, the use of a commercially available whole genome amplification kit showed promise for genotyping sub-nanogram samples. Discrimination against nonhuman DNA was also demonstrated successfully. Because of the very low quantities of reagents used in the assay, the cost per test becomes reasonably inexpensive. Overall, using commercially available SNP assays, the OpenArray platform showed excellent promise as a highly automated, low-volume, high-throughput system for SNP analysis with potential applications to relevant forensic analyses such as identification and paternity.

Developmental validation studies of epigenetic DNA methylation markers for the detection of blood, semen and saliva samples.

Determining the type and origin of body fluids in a forensic investigation can provide important assistance in reconstructing crime scenes. A set of epigenetic markers, ZC3H12D, BCAS4 and cg06379435, have been developed to produce unique and specific patterns of DNA methylation that can be used to identify semen, saliva, and blood, respectively. To ensure the efficacy of these markers, developmental validation studies were performed to determine the conditions and limitations of this new tool for forensic analysis. DNA was extracted from human samples and bisulfite modified using commercial bisulfite modification kits. Specific primers were used to amplify the region of interest and the methylation profile of the CpG sites were determined by pyrosequencing. The percent methylation values at each CpG site were determined in multiple samples and averaged for each tissue type. The versatility of these new markers is presented by showing the results of validation studies on sensitivity, human specificity, stability and mixture resolution. When testing the markers using different organisms, we did obtain positive results for certain non-human primate samples, however, all other tested species were negative. The lowest concentration consistently detected varied from 0.1 to 10ng, depending on the locus, indicating the importance of primer design and sequence in the assay. The method also proved to be effective when inhibitors were present in the samples or when samples were degraded by heat. Simulated case- samples were also tested. In the case of mixtures of different cell types, the overall methylation values varied in a consistent and predictable manner when multiple cell types were present in the same sample. Overall, the validation studies demonstrate the robustness and effectiveness of this new tool for body fluid identification.

D1S80 Single-Locus Discrimination Among African Populations

The highly polymorphic D1S80 locus has no known genetic function. However, this variable number of tandem repeats (VNTR) locus has been highly valuable in forensic identification. In this study we report the allele and genotype frequencies of five African populations (Benin, Cameroon, Egypt, Kenya, and Rwanda), which can be used as databases to help characterize populations and identify individuals. The allele frequencies were used to infer genetic associations through phylogenetic, principal component, and G test statistical analyses. Compliance with Hardy-Weinberg equilibrium expectations was determined as were FST estimates, theta p values, and power of discrimination assessment for each population. Our analyses of 28 additional populations demonstrate that the D1S80 locus alone can be used to discriminate geographic and ethnic groups. We have generated databases useful for human identification and phylogenetic studies.

High-resolution melt analysis of DNA methylation to discriminate semen in biological stains.

The goal of this study was to develop a method for the detection of semen in biological stains using high-resolution melt (HRM) analysis and DNA methylation. To perform this task, we used an epigenetic locus that targets a tissue-specific differentially methylated region for semen. This specific locus, ZC3H12D, contains methylated CpG sites that are hypomethylated in semen and hypermethylated in blood and saliva. Using this procedure, DNA from forensic stains can be isolated, processed using bisulfite-modified polymerase chain reaction (PCR), and detected by real-time PCR with HRM capability. The method described in this article is robust; we were able to obtain results from samples with as little as 1 ng of genomic DNA. Samples inhibited by humic acid still produced reliable results. Furthermore, the procedure is specific and will not amplify non-bisulfite-modified DNA. Because this process can be performed using real-time PCR and is quantitative, it fits nicely within the workflow of current forensic DNA laboratories. As a result, it should prove to be a useful technique for processing trace evidence samples for serological analysis.

An analysis of single and multi-copy methods for DNA quantitation by real-time polymerase chain reaction

The goal of this paper was to examine and compare two different commercially available approaches to the determination of the relative quantities of autosomal and Y chromosomal DNA using real-time PCR. One, Quantifiler(®) Duo, utilizes a TaqMan(®) assay with single copy probes for both autosomal human and Y quantification. The other method, Plexor HY(®) utilizes a primer quenching assay with multi-copy probes for its quantification of autosomal human and Y chromosomal DNA. To test these approaches we have utilized the NIST Human DNA Quantitation Standard Reference Material 2372, a set of three different NIST human DNA quantification standards, to examine the precision, accuracy and sensitivity of the real-time PCR assays. We also examined data from both systems utilizing casework samples. The results show that both systems produced linear estimates for DNA quantity over a broad range of input DNA. However we did observe some apparent copy number effects when comparing the three different NIST standards which we attributed to issues with sequence variations in the different standards. Overall, the single copy approach provided better accuracy while the multi-copy approach produced better sensitivity. Thus the choice of which system to use should depend upon the goals of the user.

Allele Frequencies of 13 STR Loci and the D1S80 Locus in a Tamil Population from Madras, India

Allele Frequencies of 13 STR Loci and the D1S80 Locus in a Tamil Population from Madras, India

Identification of spermatozoa by tissue-specific differential DNA methylation using bisulfite modification and pyrosequencing

The focus of this study is to evaluate the application of epigenetic markers as a forensic tool for the determination of semen present in sexual assault cases. A series of genetic loci were screened in order to identify certain epigenetic markers displaying differential methylation that can allow semen to be differentiated from blood, buccal cells, skin epidermis, and vaginal epithelial cells. Of the different loci tested, a panel of six markers, DACT1, USP49, DDX4, Hs_INSL6_03, Hs_ZC3H12D_05, and B_SPTB_03 were identified to contain tissue‐specific differential methylation. Samples ranging from 9–21 for each tissue type were collected and subjected to bisulfite modification. The bisulfite modified DNA was amplified by PCR, and analyzed by pyrosequencing to quantitate the level of methylation at each marker. All six markers successfully differentiated semen samples from the other four tissue types analyzed. Sperm DNA was hypomethylated in all but one marker, B_SPTB_03, where this marker showed hypermethylation. Mean methylation percentages for semen samples were statistically significant from mean methylation percentages of the other four tissues studied (p < 0.01). The results of this study demonstrate the applicability of epigenetic markers as a novel tool for determination of spermatozoa and to identify the tissue source of origin of a DNA sample.

Internal validation of STRmix™ – A multi laboratory response to PCAST

We report a large compilation of the internal validations of the probabilistic genotyping software STRmix™. Thirty one laboratories contributed data resulting in 2825 mixtures comprising three to six donors and a wide range of multiplex, equipment, mixture proportions and templates. Previously reported trends in the LR were confirmed including less discriminatory LRs occurring both for donors and non-donors at low template (for the donor in question) and at high contributor number. We were unable to isolate an effect of allelic sharing. Any apparent effect appears to be largely confounded with increased contributor number.