Identification of Mixtures of Two Types of Body Fluids Using the Multiplex Methylation System and Random Forest Models.

OBJECTIVE: Body fluid mixtures are complex biological samples that frequently occur in crime scenes, and can provide important clues for criminal case analysis. DNA methylation assay has been applied in the identification of human body fluids, and has exhibited excellent performance in predicting single-source body fluids. The present study aims to develop a methylation SNaPshot multiplex system for body fluid identification, and accurately predict the mixture samples. In addition, the value of DNA methylation in the prediction of body fluid mixtures was further explored. METHODS: In the present study, 420 samples of body fluid mixtures and 250 samples of single body fluids were tested using an optimized multiplex methylation system. Each kind of body fluid sample presented the specific methylation profiles of the 10 markers. RESULTS: Significant differences in methylation levels were observed between the mixtures and single body fluids. For all kinds of mixtures, the Spearman's correlation analysis revealed a significantly strong correlation between the methylation levels and component proportions (1:20, 1:10, 1:5, 1:1, 5:1, 10:1 and 20:1). Two random forest classification models were trained for the prediction of mixture types and the prediction of the mixture proportion of 2 components, based on the methylation levels of 10 markers. For the mixture prediction, Model-1 presented outstanding prediction accuracy, which reached up to 99.3% in 427 training samples, and had a remarkable accuracy of 100% in 243 independent test samples. For the mixture proportion prediction, Model-2 demonstrated an excellent accuracy of 98.8% in 252 training samples, and 98.2% in 168 independent test samples. The total prediction accuracy reached 99.3% for body fluid mixtures and 98.6% for the mixture proportions. CONCLUSION: These results indicate the excellent capability and powerful value of the multiplex methylation system in the identification of forensic body fluid mixtures.

Analysis of the Yp11.2 Deletion Region of Phenotypically Normal Males with an AMELY-Null Allele in the Chinese Han Population.

Aim: The amelogenin gene is a widely used gender marker for forensic DNA profiling. Males who have the amelogenin Y (AMELY) allele deletion can be mistakenly identified as females if genotyping is performed only on the amelogenin gene. The aim of this study was to investigate the frequency of the AMELY allele deletion in the Chinese Han population and analyze the possible genetic variation on the Y chromosome. Materials and Methods: The amelogenin gene of 12,735 unrelated males from the Chinese Han population were genotyped using common forensic short tandem repeat (STR) kits. The AMELY allele deletion was verified by redesigned primers and sequencing. Eighteen Y-specific sequence tagged sites (STSs) on the Yp11.2 region were selected to delineate the deletion breakpoints on the Y chromosome. Results: Three males were confirmed to have no AMELY allele. The frequency rate of the AMELY-null allele was 0.236% (3/12,735) in the Chinese Han population of Central China; 2.73 Mb of sequence on the Y chromosome were absent in all the AMELY-negative samples. The deleted region was mapped using SRY, AMELY, 5 Y-STRs, and 18 STSs, which belong to the class I deleted pattern. The three unrelated males shared the same Y-STR haplotype with four males from other Chinese populations, all of whom have the AMELY-null allele. The haplogroup of these males was identified as the O3 haplogroup. Conclusion: The AMELY allele deletion in the Chinese population was accompanied by the deletion of the Y-STR loci on the Yp11.2 region. Therefore, another Y-specific marker should be tested simultaneously when unknown samples are examined as part of a criminal investigation.

Multistep microsatellite mutation leading to father-child mismatch of FGA locus in a case of non-exclusion parentage.

A non-exclusion paternity case with a mismatch in the autosomal short tandem repeats (STR) locus FGA is reported. The genotypes of the suspected father, the mother and the questioned child in FGA locus were 18/25, 20/26 and 20/22, respectively. Examination of 38 autosomal STR loci revealed no mismatches, and the paternity index is up to 1.3618×10(6). The haplotype of 16 Y chromosomal STR in the child matched completely with that of the father. These results suggested that the suspected father is the biological father of the child and that a rare three- or four-step microsatellite mutation had occurred in the paternal allele of FGA.

Development of a 9-locus X-STR multiplex PCR system for genetic analysis of three ethnic populations in China.

X-chromosome short tandem repeats (X-STR) analysis has been confirmed to be effective for kinship testing such as in deficiency paternity cases. The aim of this study was to develop a new multiplex polymerase chain reaction (PCR) system that can simultaneously amplify 9 X-STR loci (GATA172D05, DXS10159, DXS6797, HPRTB, DXS10079, DXS6789, DXS9895, DXS10146 and GATA31E08) in the same PCR reaction, and to obtain the database of the 9 X-STR loci in three ethnic populations in China. The genetic data of 815 (404 females and 411 males) unrelated Han Chinese from Hubei province, and Yi and Zhuang Chinese from Yunnan province were analyzed by using this multiplex system. The results showed that a total of 93 alleles for all these loci were found, and 7 to 20 alleles for each locus were observed. All of the analyzed loci were in agreement with Hardy-Weinberg equilibrium after Bonferroni correction in the three studied populations. The polymorphism information content (PIC) and power of discrimination (PD) in females were 0.6566-0.8531 and 0.8639-0.9684, respectively. Pairwise comparisons of allele frequency distribution showed significant differences in the most of these loci between different populations. The results indicate that this multiplex system is very useful for forensic analysis of different ethnic populations in China.

Multistep microsatellite mutation in a case of non-exclusion parentage.

A non-exclusion paternity with multistep mutation in the locus D5S818 was reported. Examination of 39 autosomal short tandem repeats (STR) loci revealed a mismatch of the maternally or paternally transmitted allele in the locus D5S818 in the questioned child. The composition of the alleles of this locus in the mother, the questioned child and the alleged father are 11/13, 7/13 and 13, respectively. The sequence analysis of the regions flanking the locus D5S818 of the mother, the questioned child and the alleged father excluded the possibility of null allele as a cause of the allelic mismatch in the child. The combined paternity index of 39 autosomal STRs is up to 2.461×10(9). Genotyping of sixteen Y-STR loci in the questioned child matched completely with the alleged father. The results prove that the alleged father is the biological father of the questioned child with four-step or six-step microsatellite mutation in the locus D5S818.

Age-related DNA methylation changes for forensic age-prediction.

There is no available method of age-prediction for biological samples. The accumulating evidences indicate that DNA methylation patterns change with age. Aging resembles a developmentally regulated process that is tightly controlled by specific epigenetic modifications and age-associated methylation changes exist in human genome. In this study, three age-related methylation fragments were isolated and identified in blood of 40 donors. Age-related methylation changes with each fragment was validated and replicated in a general population sample of 65 donors over a wide age range (11-72 years). Methylation of these fragments is linearly correlated with age over a range of six decades (r = 0.80-0.88). Using average methylation of CpG sites of three fragments, a regression model that explained 95 % of the variance in age was built and is able to predict an individual's age with great accuracy (R (2 )= 0.93). The predicted value is highly correlated with the observed age in the sample (r = 0.96) and has great accuracy of average 4 years difference between predicted age and true age. This study implicates that DNA methylation can be an available biological marker of age-prediction. Further measurement of relevant markers in the genome could be a tool in routine screening to predict age of forensic biological samples.

Isolation and identification of age-related DNA methylation markers for forensic age-prediction.

Age-prediction is an important part of forensic science. There is no available method of individual age-prediction for general forensic biological samples at crime scenes. Accumulating evidence indicates that aging resembles a developmentally regulated process tightly controlled by specific age-associated methylation exists in human genome. This study isolated and identified eight gene fragments in which the degree of cytosine methylation is significantly correlated with age in blood of 40 donors. Furthermore, we validated two CpG sites of each gene fragment and replicated our results in a general population sample of 40 males and 25 females with a wide age-range (11-72 years). The methylation of these fragments is linear with age over a range of six decades (Fragment P1 (r=-0.64), P2 (r=-0.58), P3 (r=-0.79), R1 (r=0.82), R2 (r=0.63), R3 (r=0.59), R4 (r=0.63) and R5 (r=0.62)). Using average methylation of two CpG sites from each fragment, we built a regression model that explained 95% of the variance in age and is able to predict the age of an individual with great accuracy (R(2)=0.918). The predicted values are highly correlated with the observed age in the sample (r=0.91). This study implicates that DNA methylation will be an available biological marker of age-prediction. Furthermore, measurement of relevant sites in the genome could be a tool in routine forensic screening to predict age of biological samples.

Myocardial lesions after long-term administration of methamphetamine in rats.

OBJECTIVE: To demonstrate the myocardial lesion associated with long-term administration of methamphetamine in rats. METHODS: The experimental models of intoxication of methamphetamine were established in Sprague-Dawley rats. Methamphetamine hydrochloride (3 mg x kg(-1) x d(-1)) was subcutaneously injected to rats in methamphetamine-treated group (n = 16), and normal saline at the same dose was injected to rats in control group (n = 16). After 1 week and 8 weeks of injection, 8 rats in each group were sacrificed and their hearts were examined with light microscopy and electron microscopy, respectively. RESULTS: After 1 week of methamphetamine exposure, foci of contraction band and cellular degeneration were present in subendocardial myocardium. Cellular degeneration, myocytolysis, and contraction band necrosis became prominent and extensive in methamphetamine-treated rats after 8 weeks. Hypertrophy, intracellular vacuolization, and fibrosis were also observed. The ultrastructural feature showed marked swelling and degeneration of mitochondria, enlargement of sarcoplasmic reticulum, and dissolution of myofilaments. No obvious cardiac myocyte lesions were observed in rats of control group. CONCLUSION: Methamphetamine abuse daily for a long time may result in an increased risk of cardiovascular lesions similar to cardiomyopathy.