Solution to a case involving the interpretation of trace degraded DNA mixtures.

DNA mixture analysis poses a significant challenge in forensic genetics, particularly when dealing with degraded and trace amount DNA samples. Multi-SNPs (MNPs) are genetic markers similar to microhaplotypes but with smaller molecular sizes (< 75 bp), making them theoretically more suitable for analyzing degraded and trace amount samples. In this case report, we investigated a cold case involving a campstool stored for over a decade, aiming to detect and locate the suspect's DNA. We employed both conventional capillary electrophoresis-based short tandem repeat (CE-STR) analysis and next-generation sequencing-based multi-SNP (NGS-MNP) analysis. The typing results and deconvolution of the mixed CE-STR profiles were inconclusive regarding the presence of the suspect's DNA in the mixed samples. However, through NGS-MNP analysis and presence probability calculations, we determined that the suspect's DNA was present in the samples from Sect. 4-1 with a probability of 1-8.41 × 10- 6 (99.999159%). This evidence contradicted the suspect's statement and aided in resolving the case. Our findings demonstrate the significant potential of MNP analysis for examining degraded and trace amount DNA mixtures in forensic investigations.

Establishment and Application of a 42-plex Microhaplotype Assay in Forensic Genetics.

OBJECTIVES: To establish and forensically verify a 42 microhaplotypes (mircohaps, MHs) multiplex assay system based on next-generation sequencing (NGS), and to explore the application value of this system in the practice of forensic genetics. METHODS: A total of 42 highly polymorphic MHs were selected from previous studies, and sequenced by the MiSeq FGxTM platform to verify the repeata-bility, sensitivity, specificity, stability, and mixture analysis ability of the detection system. Through population genetic investigation of 102 unrelated Chinese Han individuals in Liyang City, Jiangsu Province, China, the application value of this system in forensic genetics was evaluated. RESULTS: The sequencing repeatability of the 42-plex MHs assay was 100% and the sensitivity was as low as 0.062 5 ng. The system had the ability to withstand the interference of indigo (≤2 500 ng/µL), humic acid (≤9 ng/µL), hemoglobin(≤20 µmol), and urea (≤200 ng/µL) and to detect mixtures of 2 people (1∶19), 3 people (1∶1∶9) and 4 people (1∶1∶1∶9). Based on 102 individual data, the combined power of discrimination and the combined power of exclusion were 1-3.45×10-30 and 1-3.77×10-11, respectively, and the average effect value of alleles was 2.899. CONCLUSIONS: The 42-plex MHs assay was successfully established in this study and this system has high repeatability and sensitivity, good anti-jamming ability and mixture analysis ability. The 42 MHs are highly polymorphism and have good application value in individual identification and paternity testing.

Unique molecular identifier-based amplicon sequencing of microhaplotypes for background noise mitigation.

Microhaplotypes (MHs), comprising two or more single-nucleotide polymorphisms in a short fragment, are promising forensic markers owing to their remarkable polymorphic nature. Several studies have demonstrated the utility of MHs through massively parallel sequencing (MPS). Nevertheless, the background noise level associated with MHs in MPS, which imposes a practical detection limit for the system, remains uninvestigated. Currently, unique molecular identifier (UMI) systems are known to effectively mitigate background noise by tracking original DNA molecules and facilitating PCR and MPS error corrections. Hence, this study aimed to design a UMI-based amplicon sequencing system, designated MH-UMIseq, which can amplify 46 MHs simultaneously and generate MPS libraries in four steps: barcoding PCR, nuclease reaction, boosting PCR, and indexing PCR. The performance of the MH-UMIseq system was evaluated using the Illumina NextSeq 550 and MiniSeq systems with 31 sets for 5 ng, 1 ng, and 200 pg of input DNA. The fgbio toolkit was used in conjunction with STRait Razor 3.0 and Visual Microhap to analyze the UMI data on MHs. The corresponding average not suppressed noise proportion of MH-UMIseq were 0.1 %, 0.3 %, and 0.7 % for 5 ng, 1 ng, and 200 pg of DNA, respectively, which substantially suppressed the background noise for more than 1 ng of DNA. Interestingly, the proportion of not suppressed noise in MH-UMIseq notably decreased as the amount of input DNA increased. The number of UMI families was proportional to the copy number of the template DNA and closely correlated with the system resolution. Therefore, the resolution of MH-UMIseq system is expected to be higher than that of conventional MPS for the deconvolution of mixtures containing more than 1 ng of DNA.

A preliminary study on identification of the blood donor in a body fluid mixture using a novel compound genetic marker blood-specific methylation-microhaplotype.

Blood-containing mixtures are frequently encountered at crime scenes involving violence and murder. However, the presence of blood, and the association of blood with a specific donor within these mixtures present significant challenges in forensic analysis. In light of these challenges, this study sought to address these issues by leveraging blood-specific methylation sites and closely linked microhaplotype sites, proposing a novel composite genetic marker known as "blood-specific methylation-microhaplotype". This marker was designed to the detection of blood and the determination of blood donor within blood-containing mixtures. According to the selection criteria mentioned in the Materials and Methods section, we selected 10 blood-specific methylation-microhaplotype loci for inclusion in this study. Among these loci, eight exhibited blood-specific hypomethylation, while the remaining two displayed blood-specific hypermethylation. Based on data obtained from 124 individual samples in our study, the combined discrimination power (CPD) of these 10 successfully sequenced loci was 0.999999298. The sample allele methylation rate (Ram) was obtained from massive parallel sequencing (MPS), which was defined as the proportion of methylated reads to the total clustered reads that were genotyped to a specific allele. To develop an allele type classification model capable of identifying the presence of blood and the blood donor, we used the Random Forest algorithm. This model was trained and evaluated using the Ram distribution of individual samples and the Ram distribution of simulated shared alleles. Subsequently, we applied the developed allele type classification model to predict alleles within actual mixtures, trying to exclude non-blood-specific alleles, ultimately allowing us to identify the presence of blood and the blood donor in the blood-containing mixtures. Our findings demonstrate that these blood-specific methylation-microhaplotype loci have the capability to not only detect the presence of blood but also accurately associate blood with the true donor in blood-containing mixtures with the mixing ratios of 1:29, 1:19, 1:9, 1:4, 1:2, 2:1, 7:1, 8:1, 31:1 and 36:1 (blood:non-blood) by DNA mixture interpretation methods. In addition, the presence of blood and the true blood donor could be identified in a mixture containing four body fluids (blood:vaginal fluid:semen:saliva = 1:1:1:1). It is important to note that while these loci exhibit great potential, the impact of allele dropouts and alleles misidentification must be considered when interpreting the results. This is a preliminary study utilising blood-specific methylation-microhaplotype as a complementary tool to other well-established genetic markers (STR, SNP, microhaplotype, etc.) for the analysis in blood-containing mixtures.

Application of a newly constructed NGS panel with 45 X-linked microhaplotypes demonstrates the unique value of X-MH for kinship testing and mixture analysis.

X-linked microhaplotypes (X-MHs) have the potential to be a valuable supplementary tool in complex kinship identification or the resolution of DNA mixtures, because they bring together the distinctive genetic pattern of X chromosomal markers and the benefits of microhaplotypes (MHs). In this study, we used the 1000 Genome database to screen and select 63 X-MHs; 18 MHs were filtered out though a batch sequencing assessment of the DNA samples collected from 112 unrelated Chinese Han individuals. The resulting 45-plex panel performed well in comprehensive assessments including repeatability, sensitivity, species specificity, resistance to PCR inhibitors or degradation, mutation rate, and accuracy in detecting DNA mixture samples. The minimum amount of DNA template that can be tested with this panel is 0.5 ng. Additionally, the alleles of the minor contributor can be accurately detected when the mixture rate is larger than 1:9 in female-male mixture or 1:19 in male-male mixture. Then, we calculated population parameters on each MH based on the allele frequency data obtained from the sequence results of the aforementioned 112 unrelated samples. Combining these parameters on each MH, it can be calculated that TDPm, TDPf, CPET, CPEDFM, CPEDFF and CNCEP3 of the 45-plex system were 1-8.99×10-13, 1-1.62×10-19, 0.9999999995, 0.9999981, 0.9955, 0.9999971 and 0.99940, respectively, indicating that the panel is capable in personal identification and parentage testing. To reveal the unique advantage of X-MHs in the analyses of complex kinship and male DNA mixture, further assessments were made. For complex kinship identification, 22 types of individual pairs with different second-degree kinship were simulated and different types of likelihood ratios (LR) were calculated for each. The results revealed that the panel can achieve accuracy of approximately 70 %∼80 % when dividing each of the three types of second-degree kinships into three or four groups. Theoretically, such sub-division cannot be done by using independent autosomal markers. For male DNA mixture analysis without suspects, the maximum likelihood ratio strategy was derived and employed in the estimation of the number of male contributors (NOMC). Simulations were conducted to verify the efficacy of the 45-plex panel in the field and to compare it with autosomal markers by assuming the 45 MHs as autosomal ones. The results showed that X-MHs can achieve higher accuracy in the estimation of NOMC than autosomal ones when the mixed males were unrelated. The results highlighted the unique value of X-linked MHs in complex kinship and male mixture analyses.

Performance of a 74-Microhaplotype Assay in Kinship Analyses.

Microhaplotypes (MHs) consisting of multiple SNPs and indels on short stretches of DNA are new and interesting loci for forensic genetic investigations. In this study, we analysed 74 previously defined MHs in two of the populations that our laboratory provides with forensic genetic services, Danes and Greenlanders. In addition to the 229 SNPs that originally made up the 74 MHs, 66 SNPs and 3 indels were identified in the two populations, and 45 of these variants were included in new definitions of the MHs, whereas 24 SNPs were considered rare and of little value for case work. The average effective number of alleles (Ae) was 3.2, 3.0, and 2.6 in Danes, West Greenlanders, and East Greenlanders, respectively. High levels of linkage disequilibrium were observed in East Greenlanders, which reflects the characteristics of this population that has a small size, and signs of admixture and substructure. Pairwise kinship simulations of full siblings, half-siblings, first cousins, and unrelated individuals were performed using allele frequencies from MHs, STRs and SNPs from Danish and Greenlandic populations. The MH panel outperformed the currently used STR and SNP marker sets and was able to differentiate siblings from unrelated individuals with a 0% false positive rate and a 1.1% false negative rate using an LR threshold of 10,000 in the Danish population. However, the panel was not able to differentiate half-siblings or first cousins from unrelated individuals. The results generated in this study will be used to implement MHs as investigative markers for relationship testing in our laboratory.