Application of SNPs with low minor allele frequencies in missing person identification (MPI) through kinship analysis of DNA mixtures.

The need to identify a missing person (MP) through kinship analysis of DNA samples found at a crime scene has become increasingly prevalent. DNA samples from MPs can be severely degraded, contain little DNA and mixed with other contributors, which often makes it difficult to apply conventional methods in practice. This study developed a massively parallel sequencing-based panel that contains 1661 single-nucleotide polymorphisms (SNPs) with low minor allele frequencies (MAFs) (averaged at 0.0613) in the Chinese Han population, and the strategy for relationship inference from DNA mixtures comprising different numbers of contributors (NOCs) and of varying allele dropout probabilities. Based on the simulated dataset and genotyping results of 42 artificial DNA mixtures (NOC = 2-4), it was observed that the present SNP panel was sufficient for balanced mixtures when referenced to the closest relatives (parents/offspring and full siblings). When the mixture profiles suffered from dropout, incorrect assignments were markedly associated with relatedness, NOC and the dropout level. We, therefore, indicate that SNPs with low MAFs could be reliably interpreted for MP identification through the kinship analysis of complex DNA mixtures. Further studies should be extended to more possible scenarios to test the feasibility of this present approach.

Identification of missing persons through kinship analysis by microhaplotype sequencing of single-source DNA and two-person DNA mixtures.

In forensic applications, there is an increasing demand for the analysis of DNA profiles arising from missing person identification (MPI) cases. A specific DNA profile may originate from a single source or more than one contributor (i.e., a DNA mixture). When direct references are not available, indirect relative references can be used to identify missing persons by kinship analysis. As a novel kind of multiallelic marker, microhaplotypes have proven promising for relatedness determination and mixture deconvolution. Herein, we developed a large panel of 185 microhaplotype markers and demonstrated its application in different scenarios of relationship inference through a simulation study and real pedigree analysis, combined with probabilistic genotyping models for data interpretation. Based on single-source profiles, it was shown that the present microhaplotype panel was sufficient for pairwise close relative testing (parent/child, full-sibling and 2nd-degree relative). For more distant relatives (3rd-degree relatives), there was a clear improvement when data from one well-chosen extra relative were available. We further sought to evaluate the theoretical systematic effectiveness and actual performance of microhaplotype markers in identifying the contribution of a missing pedigree member to a two-person mixture (as a minor donor). It was observed that 100% correct assignments were made in the balanced mixtures (with no dropout) when referenced to close relatives. When the mixture profiles suffered from dropout, incorrect assignments of minor donors were markedly associated with relatedness and the dropout level. Meanwhile, the studied scenarios generally exhibited zero or very low false-positive rates, indicating a low probability of incorrectly assigning an unrelated contributor as a close relative of the reference. Our results indicate that microhaplotype data can be reliably interpreted for identifying missing persons through kinship analysis based on DNA profiles of single-source samples or two-person mixtures. Furthermore, this study could be extended to more complex scenarios, such as determining the relatedness of contributors in (or among) mixed DNA profiles, if combined with different statistical frameworks.

Mosaic duplication of 8q24.1q24.3 detected by chromosomal microarray but not karyotyping in two unrelated fetuses with cardiac defects.

BACKGROUND: Discordance between traditional cytogenetic and molecular cytogenetic tests is rare but not uncommon. The explanation of discordance between two genetic methods is difficult but especially important for genetic counseling, particularly for prenatal genetic diagnosis. CASE PRESENTATION: Two unrelated fetuses were diagnosed with cardiac defects by prenatal ultrasound examination, and invasive cordocentesis was performed to obtain cord blood samples for prenatal genetic diagnosis. For both fetuses, chromosomal microarray analysis (CMA) detected a novel approximately 27-Mb mosaic duplication with a high copy number of approximately six to seven copies on chromosome 8q24.1q24.3 that was not identified by karyotyping. To exclude artificial errors and validate laboratory detection results, multiple procedures including copy number variation sequencing, fluorescence in situ hybridization, and short tandem repeat and single-nucleotide polymorphism genotype comparison were performed, confirming the discordant results between CMA and karyotyping. The potential causes of discordance between CMA and karyotyping using fetal blood lymphocytes are discussed; we suggest that extrachromosomal DNA or cell-free DNA fragmentation originating from certain tumor tissues with 8q24.1q24.3 duplication might deserve further investigation. CONCLUSIONS: This study may be helpful for prenatal evaluation and genetic counseling for subsequent patients with similar mosaic 8q24.1q24.3 duplications. Additionally, more cases and further research are needed to understand whether mosaic 8q24.1q24.3 duplication is associated with certain genetic disorders and to investigate the causes of discordance between molecular and morphological methods.

A case of heteropaternal superfecundation identified by microhap sequencing of maternal plasma cell-free DNA: A case of HS identified by microhap sequencing.

Heteropaternal superfecundation (HS) refers to the fertilization of two or more oocytes by spermatozoa from different male partners during the polyovulatory period. The present study reported a newly discovered case of HS in the 10th week of gestation, in a case of disputed paternity involving a pair of female twins and two alleged fathers (AF1 and AF2), based on a custom-designed microhap sequencing assay and R package relMix for data interpretation. The results suggested that the twins had different biological fathers, e.g., HS, and indicated the paternity of AF1 in relation to one of the twins while excluding AF2 with regard to both twins. Standard short tandem repeat (STR) analysis was employed to confirm the paternity of the heteropaternal twins. The reported case indicates that HS may occur in paternity cases with dizygotic twins, and microhap, as a novel type of highly polymorphic marker proved to be suitable for mixture deconvolution, should be able to resolve this question effectively and noninvasively at the early stage of pregnancy.

Evaluation of a Microhaplotype-Based Noninvasive Prenatal Test in Twin Gestations: Determination of Paternity, Zygosity, and Fetal Fraction.

As a novel type of genetic marker, the microhaplotype has shown promising potential in forensic research. In the present study, we analyzed maternal plasma cell-free DNA (cfDNA) samples from twin pregnancies to validate microhaplotype-based noninvasive prenatal testing (NIPT) for paternity, zygosity, and fetal fraction (FF). Paternity was determined with the combined use of the relMix package, zygosity was evaluated by examining the presence of informative loci with two fetal genome complements, and FF was assessed through fetal allele ratios. Paternity was determined in 19 twin cases, among which 13 cases were considered dizygotic (DZ) twins based on the presence of 3~10 informative loci and the remaining 6 cases were considered monozygotic (MZ) twins because no informative locus was observed. With the fetal genomic genotypes as a reference, the accuracy of paternity and zygosity determination were confirmed by standard short tandem repeat (STR) analysis. Moreover, the lower FF, higher FF, and combined FF in each DZ plasma sample were closely related to the estimated value. This present preliminary study proposes that microhaplotype-based NIPT is applicable for paternity, zygosity, and FF determination in twin pregnancies, which are expected to be advantageous for both forensic and clinical settings.

Noninvasive prenatal paternity testing by target sequencing microhaps.

Microhaplotypes (i.e.,microhaps or MHs) are emerging multi-allelic markers with at least two single nucleotide polymorphisms (SNPs) within ∼ 200 bp that have alleles of the same length and do not generate stutter products. Based on massively parallel sequencing (MPS) technology, microhaps have proven applicability in forensics for different application purposes. Here we evaluate the feasibility of non-invasive prenatal paternity testing (NIPPT) with a panel of polymorphic microhap markers, using cell-free DNA (cfDNA) in the maternal circulation. A custom MPS-based assay targeting 60 microhaps was developed in our previous study. Herein, we applied the developed assay to cfDNA samples in 15 NIPPT cases in the first trimester of pregnancy (6∼13 weeks). The R package relMix was employed for data interpretation, with a regression dropout estimating model. As a result, the targeted sequencing wherein target enrichment is by hybridization capture can be effectively employed for microhap sequencing with cfDNA samples. With the combined use of relMix, the paternity of the biological fathers in 15 cases was correctly determined, with the combined paternity index (CPI) value > 1012. Moreover, the specificity of this approach was validated by the successful paternity exclusion of 3 close relatives (father, full sibling and uncle) of the biological father in one case, and further by the significant separation in CPI distribution between the biological father and 112 unrelated males in each cases. Our results indicate that this MPS-based microhap sequencing strategy could be utilized in NIPPT. This method may contribute to developments in NIPPT and to the resolution of issues related to DNA mixtures of close relatives for specific purposes.

Noninvasive prenatal paternity testing by maternal plasma DNA sequencing in twin pregnancies.

SNPs, combined with massively parallel sequencing technology, have proven applicability in noninvasive prenatal paternity testing (NIPPT) for singleton pregnancies in our previous research, using circulating cell-free DNA in maternal plasma. However, the feasibility of NIPPT in twin pregnancies has remained uncertain. As a pilot study, we developed a practical method to noninvasively determine the paternity of twin pregnancies by maternal plasma DNA sequencing based on a massively parallel sequencing platform. Blood samples were collected from 15 pregnant women (twin pregnancies at 9-18 weeks of gestation). Parental DNA and maternal plasma cell-free DNA were analyzed with custom-designed probes covering 5226 polymorphic SNP loci. A mathematical model for data interpretation was established, including the zygosity determination and paternity index calculations. Each plasma sample was independently tested against the alleged father and 90 unrelated males. As a result, the zygosity in each twin case was correctly determined, prior to paternity analysis. Further, the correct biological father was successfully identified, and the paternity of all 90 unrelated males was excluded in each case. Our study demonstrates that NIPPT can be performed for twin pregnancies. This finding may contribute to development in NIPPT and diagnosis of certain genetic diseases.

A microhap panel for kinship analysis through massively parallel sequencing technology.

It is widely recognized that microhaps are powerful markers for different forensic purposes, mainly due to their advantages of both short tandem repeats and single nucleotide polymorphisms, including multiple alleles, low mutation rate, and absence of stutter peaks. In the present study, a panel of 60 microhap loci was developed and utilized in forensic kinship analysis as a preliminary study. Genotyping of microhap was performed by massively parallel sequencing and haplotypes were directly achieved from sequence reads of 73 samples from Chinese Han population. We observed that 49 out of 60 loci have effective number of alleles greater than 3.0 and 10 out of 60 have values above 4.0, with an average value of 3.5598. The heterozygosity values were in a range from 0.5840 to 0.8546 with an average of 0.7268 and the cumulative power of exclusion value of the 60 loci is equal to 1-4.78 × 10-18 . Moreover, we demonstrated the applicability of this method by different relationship inference problems, including identification of single parent-offspring, full-sibling, and second-degree relative. The results indicated that the assembled microhap panel provided more power for relationship inference, than commonly used short tandem repeats or single nucleotide polymorphism system.

Fear renewal activates cyclic adenosine monophosphate signaling in the dentate gyrus.

BACKGROUND: Fear renewal, the context-specific relapse of a conditioned fear after extinction, is a widely pursued model of post-traumatic stress disorder and phobias. However, its cellular and molecular mechanisms remain poorly understood. The dentate gyrus (DG) has emerged as a critical locus of plasticity with relevance to memory, anxiety disorders, and depression, and it contributes to fear memory retrieval. Here, we have identified the role of the DG in fear renewal and its molecular mechanism. MATERIALS AND METHODS: Muscimol (MUS), activator of cyclic adenosine monophosphate (cAMP) forskolin (FSK), inhibitor of protein kinase A (PKA), Rip-cAMP, and a phosphodiesterase inhibitor rolipram were infused into DG of standard deviation rats before renewal testing. cAMP levels after fear renewal was measured by enzyme-linked immunosorbent assay. The protein levels of phosphodiesterase 4 (PDE4) isoforms were tested by western blot. At last, the roles of cAMP signaling were also tested in the acquisition of fear conditioning, fear retrieval, and extinction. RESULTS: Intra-DG treatment of MUS and Rp-cAMP impaired fear renewal. FSK and rolipram exhibited the opposite effect, which also occurred in the retrieval of original fear memory. This change in fear renewal was regulated by PDE4 isoforms PDE4A, PDE4A5, and PDE4D. In addition, FSK and rolipram facilitated the acquisition of fear conditioning in long-term memory, but not short-term memory, while Rp-cAMP impaired long-term memory. For extinction, FSK and rolipram inhibited extinction process, while Rp-cAMP facilitated fear extinction. CONCLUSION: These findings demonstrated that fear renewal activated cAMP signaling in the DG through decreased PDE4 activity. Because of the role of cAMP signaling in the acquisition or retrieval of fear conditioning and encoding of extinction, it is speculated that initial learning and extinction may have similarities in molecular mechanism, especially fear retrieval and fear renewal may share cAMP signaling pathway in the DG.

Genome-wide screen for universal individual identification SNPs based on the HapMap and 1000 Genomes databases.

Differences among SNP panels for individual identification in SNP-selecting and populations led to few common SNPs, compromising their universal applicability. To screen all universal SNPs, we performed a genome-wide SNP mining in multiple populations based on HapMap and 1000Genomes databases. SNPs with high minor allele frequencies (MAF) in 37 populations were selected. With MAF from ≥0.35 to ≥0.43, the number of selected SNPs decreased from 2769 to 0. A total of 117 SNPs with MAF ≥0.39 have no linkage disequilibrium with each other in every population. For 116 of the 117 SNPs, cumulative match probability (CMP) ranged from 2.01 × 10-48 to 1.93 × 10-50 and cumulative exclusion probability (CEP) ranged from 0.9999999996653 to 0.9999999999945. In 134 tested Han samples, 110 of the 117 SNPs remained within high MAF and conformed to Hardy-Weinberg equilibrium, with CMP = 4.70 × 10-47 and CEP = 0.999999999862. By analyzing the same number of autosomal SNPs as in the HID-Ion AmpliSeq Identity Panel, i.e. 90 randomized out of the 110 SNPs, our panel yielded preferable CMP and CEP. Taken together, the 110-SNPs panel is advantageous for forensic test, and this study provided plenty of highly informative SNPs for compiling final universal panels.

Development of New mRNA Markers for the Identification of Menstrual Blood.

BACKGROUND: The aim of this study was to screen 3 mRNA markers (i.e., PAEP, LAPR3, and HOXA10) with diverse expression in different body fluids and to develop a method for the identification of menstrual blood using these mRNA markers. METHODS: Body fluid (i.e., venous blood, menstrual blood, semen, and saliva) samples were collected and prepared under differing environmental conditions (temperature, humidity and time), and RNA was extracted and reverse transcribed. The expression specificity of these markers was assessed using TaqMan probe qPCR. RESULTS: A high mean cycle threshold value corresponds to a lower expression level. The mean cycle threshold value of the LAPR3, HOXA10, and PAEP genes are 8.37, 8.73, 4.67 in menstrual blood respectively. LAPR3 and PAEP were only expressed in menstrual blood. HOXA10 were expressed in blood, menstrual blood, and semen. No significant differences were found while the mean cycle threshold of MMP11 and PAEP were compared in the menstrual blood under common environmental conditions. There were no observed differences in the expression of the target genes in women of different ages and at different menstrual phases. The sensitivity of the expression of the 3 target genes could be examined in fluid amount range from 1 to 32 µl of body fluid. The expression of PAEP differed markedly from the expression of LAPR3 and HOXA10 in menstrual blood stains tested using mRNA-based assays (p<0.001). CONCLUSIONS: These markers, particularly PAEP, can likely be used for the identification of menstrual blood in certain forensic cases.

Noninvasive prenatal paternity testing using targeted massively parallel sequencing.

BACKGROUND: Recent advances in massively parallel sequencing (MPS) technology have provided efficient methods for noninvasive prenatal paternity testing (NIPAT). However, a well-accepted protocol has not been established. The present study developed an MPS-based approach for NIPAT and compared the performance of two recently reported methods for MPS data interpretation. STUDY DESIGN AND METHODS: We selected 1795 unlinked polymorphic single-nucleotide polymorphisms (SNPs) and performed paternity analysis in 34 real parentage test cases with maternal plasma samples using the Illumina HiSeq platform. Sequencing data were interpreted by the straightforward counting method for the identification of paternal alleles and mathematical algorithms for paternity index (PI) calculation, respectively. RESULTS: Based on the sequencing data from each family case, both of the two statistical approaches produced a significant separation between the biological father and 90 unrelated males (p < 0.0001) when sufficient effective loci were attained. Nevertheless, up to 30.82% of real paternal alleles were filtered by a predefined cutoff and resulted in insufficient effective loci, especially in plasma samples with low fetal fraction (approx. 90.60% were filtered). In contrast, the PI calculation model utilized all maternal homozygous SNPs as effective loci (approx. 40% of total SNPs) and successfully identified the correct biological father, with the log-transformed combined PI (Lg(CPI)) value varying from 68.23 to 158.01 in each family case. CONCLUSION: Our study illustrates that the Bayesian approach represents the better choice in NIPAT data interpretation. Further, the adoption of more informative markers (e.g., tri-allelic SNPs, tetra-allelic SNPs, and micro-haplotypes) or deeper sequencing is recommended for the improvement of the testing efficiency.

An SNP panel for the analysis of paternally inherited alleles in maternal plasma using ion Torrent PGM.

Researchers have sought to develop an effective protocol for paternity analysis using cell-free DNA (cfDNA) in maternal plasma. The use of massively parallel sequencing (MPS) technology for SNP testing is attractive because of its high-throughput capacity and resolution to single-base precision. In this study, we designed a customized SNP panel for cfDNA sequencing that includes 720 short amplicons (< 140 bp) targeting SNPs on the autosome and Y chromosome. The systemic performance was evaluated using the Ion Torrent PGM, indicating balanced coverage among most of the included loci, except for 78 poorly performing SNPs that were observed to have an inconsistent allele balance, lower coverage reads or high background signals. Then, the custom panel was used to perform cfDNA genotyping in maternal plasma from 20 pregnancies in the first and second trimesters (9 to 21 weeks). By establishing an allele fraction cutoff of 2.0%, 53 to 128 autosomal SNP loci were considered informative for paternal origin. Validation results in foetal samples showed that 49.43% to 100% of the real paternal alleles were accurately identified, with incorrect alleles encountered in 3 cases. The concentration of foetal cfDNA ranged from 4.28% to 10.70%. Our results show that this amplicon-based sequencing strategy could be utilized in analysing paternally inherited alleles in maternal plasma. However, further studies and optimization are required for a more detailed and accurate interpretation of the cfDNA sequencing results based on MPS technology.

Noninvasive fetal genotyping of paternally inherited alleles using targeted massively parallel sequencing in parentage testing cases.

BACKGROUND: Researchers have sought to develop a noninvasive protocol for paternity analysis that uses fetal cell-free DNA (cfDNA) in maternal plasma. Massively parallel sequencing (MPS) is expected to overcome this challenge because it enables the analysis of millions of DNA molecules at a single-base resolution. STUDY DESIGN AND METHODS: Seven women were involved in prenatal paternity testing cases. Before conventional invasive procedures, cfDNA was isolated from maternal plasma. Fetal tissues were then collected, as were blood samples from the alleged fathers. A custom array was designed that targeted 1497 regions containing single-nucleotide polymorphisms. These regions were massively parallel sequenced. RESULTS: In these seven cases, the mean nonmaternal allele fractions in maternal plasma ranged from 3.22% to 6.17%. Setting the allele fraction cutoff of 2.5%, 300 to 491 loci were considered informative for paternal origin and no genetic incompatibilities with the alleged fathers were found. These results were concordant with those of conventional short tandem repeat genotyping. Validation results performed using fetal samples showed that sequencing noise was completely filtered out, and 78.35% to 99.19% of the paternal alleles were accurately genotyped. The fetal cfDNA concentrations ranged from 7.12% to 13.81%, and the overall sequencing error rates ranged from 0.40% to 0.93%. CONCLUSION: In our study, we evaluate a straightforward method that can be used to identify paternal alleles based on analyses of paternal alleles and sequencing errors in maternal plasma. Our results support the notion that an MPS-based method could be utilized in noninvasive fetal genotyping and prenatal paternity analyses.

Genetic polymorphisms and mutation rates of 27 Y-chromosomal STRs in a Han population from Guangdong Province, Southern China.

In this study, we collected blood samples from 1033 father-son pairs of a Han population from Guangdong Province, Southern China, of which 1007 fathers were unrelated male individuals. All together, 2040 male individuals were analyzed at 27 Y-chromosomal short tandem repeats (Y-STRs) with Yfiler(®) Plus system. A total of 1003 different haplotypes were observed among 1007 unrelated fathers, with the overall haplotype diversity (HD) 0.999992 and discrimination capacity (DC) 0.996. The gene diversity (GD) values for the 27 Y-STR loci ranged from 0.4400 at DYS438 to 0.9597 at DYS385a/b. 11 off-ladder alleles and 25 copy number variants were detected in 1007 males. Population relationships were analyzed by comparison with 19 other worldwide populations. With 27,920 allele transfers in 1033 father-son pairs, 124 mutation events occurred, of which 118 were one-step mutations and 6 were two-step mutations. Eleven father-son pairs were found to have mutations at two loci, while one pair at three loci. The estimated locus-specific mutation rates varied from 0 to 1.74×10(-2), with an average estimated mutation rate 4.4×10(-3) (95%CI: 3.7×10(-3) to 5.3×10(-3)). Mutations were most frequently observed at three rapidly mutating Y-STRs (RM Y-STRs), DYS576, DYS518 and DYS627. However, at DYS570, DYS449 and DYF387S1 loci, which were also described as RM Y-STRs, the mutation rates in Guangdong Han population were not as high as estimated in other populations.

Analysis of 24 Y-STR haplotype data in a Chinese Han population from Guangdong Province.

In this study, we investigated the genetic polymorphisms of 24 Y-chromosomal short tandem repeat (Y-STR) loci in 885 unrelated Chinese Han male individuals from Guangdong Province, using a domestic AGCU Y24 STR kit. A total of 878 different haplotypes were observed at the 24 Y-STR loci; among them, 871 haplotypes were unique and 7 haplotypes occurred twice. The overall haplotype diversity was 0.99998 and the discrimination capacity was 99.2%. The gene diversity values ranged from 0.4354 at DYS438 to 0.9606 at DYS385a/b. Population relationships between the Guangdong Han population and seven other published Chinese populations were evaluated by Rst values and visualized in a two multi-dimensional scaling plot. The results showed the 24 Y-STR loci are highly polymorphic in Guangdong Han population and of great value in forensic application.

Mammalian target of rapamycin inhibitor RAD001 sensitizes endometrial cancer cells to paclitaxel-induced apoptosis via the induction of autophagy.

The aim of the present study was to investigate the effects of the mammalian target of rapamycin (mTOR) inhibitor, RAD001, on the growth of human endometrial cancer cells. The effects of RAD001 on human endometrial cancer Ishikawa and HEC-1A cell proliferation were determined by MTT assay. Green fluorescent protein microtubule-associated protein 1 light chain 3α (GFP-LC3) protein aggregates were observed under a confocal microscope, and Ishikawa and HEC-1A cell apoptosis was detected using flow cytometry. The expression levels of LC3-I, LC3-II and mTOR proteins were detected by western blot analysis. The results showed that RAD001 effectively inhibited human endometrial cancer Ishikawa and HEC-1A cell proliferation via downregulation of AKT/mTOR phosphorylation. Moreover, RAD001 induced autophagic cell death and a higher sensitivity to paclitaxel-induced apoptosis. These results indicate that RAD001 could have therapeutic potential in human endometrial cancer with hyperactivated AKT/mTOR signaling.

Haplotype analysis of the polymorphic 40 Y-STR markers in Chinese populations.

Forty Y-STR loci were analyzed in 1128 males from the following six Chinese ethnic populations: Han (n=300), Hui (n=244), Korean (n=100), Mongolian (n=100), Uighur (n=284) and Tibetan (n=100), utilizing two new generation multiplex Y-STR systems, AGCU Y24 STR and GFS Y24 STR genotyping kits, which allow for the genotyping of 24 loci from a single amplification reaction in each system. The lowest estimates of genetic diversity (below 0.5) correspond to markers DYS391 (0.441658) and DYS437 (0.496977), and the greatest diversity corresponds to markers DYS385a/b (0.969919) and DYS527a/b (0.94676). A considerable number of duplicate and off-ladder alleles were also revealed. Additionally, there were 1111 different haplotypes identified from the total 1128 samples, of which 1095 were unique. Notably, no shared haplotypes between populations were observed. The estimated overall haplotype diversity (HD) was 0.999085, and its discrimination capacity (DC) was 0.970745. An MDS plot based on the genetic distances between populations showed the genetic similarity of the southern Han population to the Northern populations of Hui, Korean, Mongolian and Uighur and a clear genetic departure of the Tibetan population from other populations. For the Y STR markers, population substructure correction was considered when calculating the rarity of the Y STR profile. However, because the haplotype based Fst values are extremely small within the present data (0.000153 with 40 Y-STRs), no substructure correction is required to estimate the rarity of a haplotype comprising 40 markers. In summary, the results of our study indicate that the 40 Y-STRs have a high level of polymorphism in Chinese ethnic groups and could therefore be a powerful tool for forensic applications and population genetic studies.

Investigation of the Application of miR10b and miR135b in the Identification of Semen Stains.

To evaluate the identification method using the microRNA markers miR10b and miR135b to distinguish semen stains from menstrual blood, peripheral blood, vaginal fluid and so on body fluid stains. The expression levels of miR10b and miR35b in semen stains and menstrual blood and so on were detected utilizing a real-time quantitative PCR technique with a specific fluorescence-labeled TaqMan probe. RNU6b was used as the internal reference gene; the difference in their expression was analyzed, and the specificity, sensitivity, and detection capability of the techniques were evaluated. The expression of miR10b and miR135b in semen stains was significantly higher than that of other body fluid stains, with a mean value of ΔCт from-6 to-7. However, it ranged from-2 to-4 for other body fluid stains. The initial criteria for judging which semen stains can be identified were determined by analyzing the research results. When the threshold value was set to 0.04, the CT value could be detected in the target genes miR10b, miR135b and in the internal reference gene RNU6b, and CT values are<40, ΔCT[10b-U6]<-5.5, and ΔCT[135b-U6]<-6, respectively, and the semen stain could be identified. The expression levels of miR10b and miR135b are higher in semen with strong tissue specificity; thus, they can be used to differentiate semen stains from other body fluid stains in forensic science.