Y-SNP Haplogroup Hierarchy Finder: a web tool for Y-SNP haplogroup assignment.

The application of massively parallel sequencing (MPS) data from whole genomes has allowed very many more Y-SNP loci to be genotyped simultaneously than previously possible. Although this greatly increases the resolution of Y-SNP haplogroups to link common ancestors, it remains a great challenge to provide a phylogenetic tree to clearly display the relationship of varying haplogroups. Y-SNP Haplogroup Hierarchy Finder is a web tool to generate hierarchical haplogroups based on Y-SNP data with the derived allele at the terminal of a haplogroup tree. The input data can include that from whole-genome sequencing. Confidence in assignment using Y-SNP Haplogroup Hierarchy Finder was demonstrated using Y-SNP genotypes of 1233 samples, sourced from the 1000 genomes project phase 3, used to generate the expected haplogroups. The outcome includes 2 reports: a 'Haplogroup Report' lists mutation types from the submitted Y-SNPs and their corresponding haplogroups, and a 'Haplogroup Hierarchy Report' lists all possible hierarchical haplogroups and ranks the three most supported haplogroups. Each layer of the descending haplogroups from one step to the next is shown and the supporting numbers of Y-SNPs are also included in these reports. All haplogroups that exhibited a clear relationship between the ancestral through to the derived SNPs can be clustered into a hierarchy of haplogroups. The assigned 1233 haplogroups were compared with 2 other software programs designed to assemble haplogroups, which resulted in one where there were many differences and the other one where there was only minor difference. The advantage of this web-based tool is that it provides an easy way to assign Y-SNP haplogroup based on the visualized hierarchical pattern.

A novel co-amplification system for simultaneous amplification of 23 Y-STR and identification of spermatozoa.

In alleged sexual assault cases, identification of the presence of spermatozoa at the crime scene, or on items of eventual significance, or associated with the body of the victim, is integral to the forensic investigation to support or refute the proposition that sexual act has occurred. A 3-plex MSRE-PCR (methylation-sensitive restriction enzyme-PCR) system has been developed previously to identify spermatozoa based on the presence or absence of DNA methylation. This assay showed that 0.1 ng of DNA from a semen extract was sufficient to identify the presence of spermatozoa even when there was excessively more DNA isolated from vaginal fluid than DNA from a semen extract (80 ng/0.1 ng) or a mix of the menstrual blood/semen DNA (5 ng/0.1 ng). In this study, we combine spermatozoa detection with co-amplification of 23 Y-STR loci. We perform standard validation steps to present a novel test that saves time and uses the same sample for both DNA typing and spermatozoa detection in the same reaction. The combined assay can identify Y-STR and spermatozoa simultaneously using just 0.1 ng semen DNA, even in the presence of 5 ng of DNA from a female (male/female:1/50). No other body fluid tested, such as saliva, gave a result for the presence of spermatozoa. A total of 9 non-probative forensic samples from 7 sexual assault cases were tested by this co-amplification system. In all cases, the same sperm-positive data were obtained, concordant with our previous study analyzed by only 3-plex MSRE-PCR, and the Y-STR results were also consistent with that analyzed by only PowerPlex® Y23 kit. The co-amplification will be beneficial for the limited samples in many criminal cases.

Spermatozoa identification by the 3-plex MSRE-PCR assay: a collaborative exercise.

Identification of semen and spermatozoa is crucial in the forensic investigation of alleged sexual assault cases. In cases of alleged sexual assault where there is a long time gap between the incident and sample collection, or in cases of low sperm count, current methods have limitations of specificity, in the case of presumptive tests for semen, or the problem of recording spermatozoa by microscopy if they are few in number. A 3-plex MSRE-PCR (methylation-sensitive restriction enzyme-PCR) assay using a spermatozoa-specific DNA methylated marker to identify spermatozoa has been reported previously by our laboratory. A key advantage over current methods is the increased sensitivity and specificity. A transition from a research tool to operational use requires blind trial testing and inter-laboratory trials. We report on a collaborative exercise where reagents of the 3-plex MSRE-PCR were sent to six participating laboratories. Each laboratory used their own equipment, consumables, and the presumptive reagents conventionally for body fluid (such as acid phosphatase or PSA), DNA extraction, and quantification in practical casework. The reagents and protocol for the 3-plex MSRE-PCR assay and 9 samples were provided by the organizing laboratory. The participating laboratories were requested to fill in the questionnaire after testing. The reported results from all the six participating laboratories were concordant and the expected correct results for the presence of spermatozoa. These outcomes verified the reproducibility and feasibility of the 3-plex MSRE-PCR assay. The results also indicated that the 3-plex MSRE-PCR assay was readily accessible to forensic laboratories for integrating it into current forensic casework processes.

Population inference based on mitochondrial DNA control region data by the nearest neighbors algorithm.

Population and geographic assignment are frequently undertaken using DNA sequences on the mitochondrial genome. Assignment to broad continental populations is common, although finer resolution to subpopulations can be less accurate due to shared genetic ancestry at a local level and members of different ancestral subpopulations cohabiting the same geographic area. This study reports on the accuracy of population and subpopulation assignment by using the sequence data obtained from the 3070 mitochondrial genomes and applying the K-nearest neighbors (KNN) algorithm. These data also included training samples used for continental and population assignment comprised of 1105 Europeans (including Austria, France, Germany, Spain, and England and Caucasian countries), 374 Africans (including North and East Africa and non-specific area (Pan-Africa)), and 1591 Asians (including Japan, Philippines, and Taiwan). Subpopulations included in this study were 1153 mitochondrial DNA (mtDNA) control region sequences from 12 subpopulations in Taiwan (including Han, Hakka, Ami, Atayal, Bunun, Paiwan, Puyuma, Rukai, Saisiyat, Tsou, Tao, and Pingpu). Additionally, control region sequence data from a further 50 samples, obtained from the Sigma Company, were included after they were amplified and sequenced. These additional 50 samples acted as the "testing samples" to verify the accuracy of the population. In this study, based on genetic distances as genetic metric, we used the KNN algorithm and the K-weighted-nearest neighbors (KWNN) algorithm weighted by genetic distance to classify individuals into continental populations, and subpopulations within the same continent. Accuracy results of ethnic inferences at the level of continental populations and of subpopulations among KNN and KWNN algorithms were obtained. The training sample set achieved an overall accuracy of 99 to 82% for assignment to their continental populations with K values from 1 to 101. Population assignment for subpopulations with K assignments from 1 to 5 reached an accuracy of 77 to 54%. Four out of 12 Taiwanese populations returned an accuracy of assignment of over 60%, Ami (66%), Atayal (67%), Saisiyat (66%), and Tao (80%). For the testing sample set, results of ethnic prediction for continental populations with recommended K values as 5, 10, and 35, based on results of the training sample set, achieved overall an accuracy of 100 to 94%. This study provided an accurate method in population assignment for not only continental populations but also subpopulations, which can be useful in forensic and anthropological studies.

Identification of spermatozoa using a novel 3-plex MSRE-PCR assay for forensic examination of sexual assaults.

Identification of semen and then spermatozoa is essential to verify that sexual activity has occurred in alleged cases of sexual assault. Microscopic examination commonly used for spermatozoa identification is however time-consuming and can often lead to false-negative results for samples with deformed and, or, limited number of spermatozoa. To address this limitation, we report on a novel 3-plex MSRE-PCR (methylation-sensitive restriction enzyme-PCR) assay to specifically identify spermatozoa. This assay is comprised of 3 markers: a digestive control marker (DC), sperm-specific marker (SP), and Y chromosome marker (SRY). A total of 214 samples from 10 body fluids or tissues were analyzed. Specificity testing showed that all the normal semen samples were unambiguously identified as being sperm-positive, and no other body fluid (or tissues) showed a sperm-specific signal in the electropherogram. Testing for sensitivity showed that 0.1 ng of DNA from a semen extract was sufficient to identify the presence of spermatozoa by this assay. Mixture analyses illustrated the sensitivity of the assay when the vaginal/semen DNA ratio (80/0.1) was under 800 or the menstrual blood/semen DNA ratio (5/0.1) was under 50, the trace amounts (approximately 0.1 ng) of DNA from semen can still be identified by this 3-plex MSRE-PCR assay. This assay was also applied to the identification of 31 non-probative forensic samples from 18 sexual assault cases. The case studies showed that the 3-plex MSRE-PCR assay was an improvement in the sensitivity of spermatozoa detection.

Massively parallel sequencing analysis of nondegraded and degraded DNA mixtures using the ForenSeq™ system in combination with EuroForMix software.

Massively parallel sequencing (MPS) technologies enable the simultaneous analysis of short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs). MPS also enables the detection of alleles of the minor contributors in imbalanced DNA mixtures. In this study, 59 STRs (amelogenin, 27 autosomal STRs, 7 X-STRs, and 24 Y-STRs) and 94 identity-informative SNPs of 119 unrelated Taiwanese (50 men, 69 women) were sequenced using a commercial MPS kit. Forty-eight nondegraded and 44 highly degraded two-person artificial DNA mixtures with various minor to major ratios (1:9, 1:19, 1:29, 1:39, 1:79, and 1:99) were analyzed to examine the performance of this system for detecting the alleles of the minor contributors in DNA mixtures. Likelihood ratios based on continuous model were calculated using the EuroForMix for DNA mixture interpretation. The STR and SNP genotypes of these 119 Taiwanese were obtained. Several sequence variants of STRs were observed. Using EuroForMix software based on the sequence data of autosomal STRs and autosomal SNPs, 97.9% (47/48) and 97.7% (42/43) of minor donors were accurately inferred among the successfully analyzed nondegraded and degraded DNA mixtures, respectively. In conclusion, combined with EuroForMix software, this commercial kit is effective for assignment of the minor contributors in nondegraded and degraded DNA mixtures.

A single nucleotide polymorphism panel for individual identification and ancestry assignment in Caucasians and four East and Southeast Asian populations using a machine learning classifier.

Single nucleotide polymorphism (SNP) profiling is an effective means of individual identification and ancestry inferences in forensic genetics. This study established a SNP panel for the simultaneous individual identification and ancestry assignment of Caucasian and four East and Southeast Asian populations. We analyzed 220 SNPs (125 autosomal, 17 X-chromosomal, 30 Y-chromosomal, and 48 mitochondrial SNPs) of the DNA samples from 563 unrelated individuals of five populations (89 Caucasian, 234 Taiwanese Han, 90 Filipino, 79 Indonesian and 71 Vietnamese) and 18 degraded DNA samples. Informativeness for assignment (In) was used to select ancestry informative SNPs (AISNPs). A machine learning classifier, support vector machine (SVM), was used for ancestry assignment. Of the 220 SNPs, 62 were individual identification SNPs (IISNPs) (51 autosomal and 11 X-chromosomal SNPs) and 191 were AISNPs (100 autosomal, 13 X-chromosomal, 30 Y-chromosomal, and 48 mitochondrial SNPs). The 51 autosomal IISNPs offered cumulative random match probabilities (cRMPs) ranging from 1.56 × 10-21 to 3.16 × 10-22 among these five populations. Using AISNPs with the SVM, the overall accuracy rate of ancestry inference achieved in the testing dataset between Caucasian, Taiwanese Han, and Filipino populations was 88.9%, whereas it was 70.0% between Caucasians and each of the four East and Southeast Asian populations. For the 18 degraded DNA samples with incomplete profiling, the accuracy rate of ancestry assignment was 94.4%. We have developed a 220-SNP panel for simultaneous individual identification and ethnic origin differentiation between Caucasian and the four East and Southeast Asian populations. This SNP panel may assist with DNA analysis of forensic casework.

Establishment of 11 linked X-STR loci within 1.1 Mb to assist with kinship testing.

This report identifies and characterizes 10 novel short tandem repeat (STR) loci on the human X chromosome, all of which are within a range of 1.1 Mb. These newly characterized loci were developed to aid in kinship assignment when the X chromosome is specifically required. The repeat DNA sequences were identified initially using data in GenBank and are located immediately upstream and downstream from the previously described locus DXS6807. Only those loci with seven or more observed alleles were used for further study resulting in the identification of 10 new loci. The distance between each pair of loci ranged from 24,998 to 244,701 bp with an average of approximately 110.8 kb. The number of observed alleles ranged from 7 to 30 for these 10 loci with a polymorphic information content ranging from 0.593 to 0.930. The LOD score from a pairwise linkage study ranged from 4.40 to 23.73, indicating that these 11 loci were highly linked, as expected. In line with standard forensic practice, all 11 loci can be amplified in one multiplex reaction, and comprehensive allelic ladders for all the loci have been constructed. These newly established 11 linked STR loci on the human X chromosome were found to be highly polymorphic and have the potential to aid in kinship testing where the X chromosome loci currently plays a role.

The detection and identification of saliva in forensic samples by RT-LAMP.

We report on a novel method for saliva identification by reverse transcription-loop-mediated isothermal amplification (RT-LAMP). In our previous report, real-time RT-LAMP was used for blood identification by using HBB detection as a model but in this advanced study, this method was refined for the identification of the more challenging body fluid of saliva. Expression of the18S rRNA gene was used as the internal control and the Statherin (STATH) gene as the saliva-specific marker. A turbidimeter was used for real-time detection of the RT-LAMP products, and confirmation was obtained that the real products were generated using: agarose gel electrophoresis, calcein fluorescence detection and/or enzymatic digestion. The specificity of the test was performed using 42 samples including 7 different body fluids, and the expression of STATH was only observed in all the saliva samples (6) with a threshold time of 39.4 ± 2.9 min. Sensitivity testing showed that RT-LAMP products for STATH were stably detected when the RNA template was not less than 6.25 ng. When the primer concentrations for STATH were two times that of 18S rRNA, saliva could be identified in the body fluid mixtures even at a ratio (saliva:semen) of 1:3 (without loop primer)/1:5 (with loop primer). A multiplex RT-LAMP was established to simultaneously amplify the 18S rRNA and STATH genes, and applied to the identification of saliva on ten non-probative cigarette butts. A positive result for saliva was obtained from all ten butts, even for those that returned a negative or ambiguous result using the amylase test. A direct RT-LAMP test is also reported where the RNA extraction step was omitted to speed the collection of data and all tests using either the simplex or multiplex RT-LAMP resulted in a positive response if saliva was present. Our data provide a simple and effective means to detect the presence of saliva.

A panel of 130 autosomal single-nucleotide polymorphisms for ancestry assignment in five Asian populations and in Caucasians.

Ancestry informative single-nucleotide polymorphism (AISNP) panels for differentiating between East and Southeast Asian populations are scarce. This study aimed to identify AISNPs for ancestry assignment of five East and Southeast Asian populations, and Caucasians. We analyzed 145 autosomal SNPs of the 627 DNA samples from individuals of six populations (234 Taiwanese Han, 91 Filipinos, 79 Indonesians, 60 Thais, 71 Vietnamese, and 92 Caucasians) using arrays. The multiple logistic regression model and a multi-tier approach were used for ancestry classification. We observed that 130 AISNPs were effective for classifying the ethnic origins with fair accuracy. Among the 130 AISNPs, 122 were useful for stratification between these five Asian populations and 64 were effective for differentiating between Caucasians and these Asian populations. For differentiation between Caucasians and Asians, an accuracy rate of 100% was achieved in these 627 subjects with 50 optimal AISNPs among the 64 effective SNPs. For classification of the five Asian populations, the accuracy rates of ancestry inference using 20 to 57 SNPs for each of the two Asian populations ranged from 74.1% to 100%. Another 14 degraded DNA samples with incomplete profiling were analyzed, and the ancestry of 12 (85.7%) of those subjects was accurately assigned. We developed a 130-AISNP panel for ethnic origin differentiation between the five East and Southeast Asian populations and Caucasians. This AISNP set may be helpful for individual ancestral assignment of these populations in forensic casework.

Genotyping of 75 SNPs using arrays for individual identification in five population groups.

Single nucleotide polymorphism (SNP) typing offers promise to forensic genetics. Various strategies and panels for analyzing SNP markers for individual identification have been published. However, the best panels with fewer identity SNPs for all major population groups are still under discussion. This study aimed to find more autosomal SNPs with high heterozygosity for individual identification among Asian populations. Ninety-six autosomal SNPs of 502 DNA samples from unrelated individuals of five population groups (208 Taiwanese Han, 83 Filipinos, 62 Thais, 69 Indonesians, and 80 individuals with European, Near Eastern, or South Asian ancestry) were analyzed using arrays in an initial screening, and 75 SNPs (group A, 46 newly selected SNPs; groups B, 29 SNPs based on a previous SNP panel) were selected for further statistical analyses. Some SNPs with high heterozygosity from Asian populations were identified. The combined random match probability of the best 40 and 45 SNPs was between 3.16 × 10(-17) and 7.75 × 10(-17) and between 2.33 × 10(-19) and 7.00 × 10(-19), respectively, in all five populations. These loci offer comparable power to short tandem repeats (STRs) for routine forensic profiling. In this study, we demonstrated the population genetic characteristics and forensic parameters of 75 SNPs with high heterozygosity from five population groups. This SNPs panel can provide valuable genotypic information and can be helpful in forensic casework for individual identification among these populations.

Investigation into length heteroplasmy in the mitochondrial DNA control region after treatment with bisulfite.

We report on a method to analyze length heteroplasmy within the human mitochondrial genome in which there are polycytosine [poly(C)] stretches. These poly(C) tracts induce heteroplasmy with the resultant inherent problems of accurate sequence designations. In this study, 20 samples that exhibited length heteroplasmy due to variation in the C-tracts within hypervariable region I (HVI) were treated with bisulfite, and one or more cytosine bases in these C-tracts were converted randomly to uracil. This resulted in an accurate sequence designation for nearly all samples. The only exceptions in which the DNA sequence could still not be determined occurred when there was total conversion, or a lack of conversion, of the cytosine bases. Replicate tests on the same samples showed that individual cytosine bases were randomly converted to uracil. This simple method was useful for investigating length heteroplasmy due to 16189C and 310C transitions in the mitochondrial-DNA control region. It is valuable for medical and forensic investigations.

Novel identification of biofluids using a multiplex methylation-specific PCR combined with single-base extension system.

PURPOSE: Knowledge of the composition of complex body fluid mixtures may aid forensic investigations greatly. However, many of the traditional tests are presumptive in nature and can lead to ambiguous results. The aim of this study is to establish a reliable method to identify various biofluids via analysis of their DNA methylation profiles. METHODS: A total of eight biofluid-specific methylated markers for saliva, venous blood, vaginal fluids, and semen were isolated from the open database of Infinium HumanMethylation450 BeadChip. These biofluid-specific markers, a control marker to confirm bisulfite conversion, and a gender marker, were combined into a 10-plex methylation-specific PCR single-base-extension (MSP-SBE) system. RESULTS: Analysis of 65 DNA samples isolated from venous blood, semen, vaginal fluid, saliva, and menstrual blood that had been treated with bisulfite, resulted in all eight markers detecting the body fluid to which they were designed. Unambiguous body fluid identification occurred from both single sources of body fluids and complex mixtures. A threshold was devised for each marker to minimize the chance of a false inclusion. The efficacy of the assay and application to forensic practice was demonstrated using five non-probative samples from real alleged sexual assault cases. The system unambiguously determined the biofluid types for the non-probative forensic samples that previously resulted in inconclusive or conflicting results using traditional tests. CONCLUSIONS: The results demonstrated the 10-plex MSP-SBE system established in this study is both sensitive and specific when applied to body fluid identification and can be readily adopted into forensic practice.

A novel application of real-time RT-LAMP for body fluid identification: using HBB detection as the model.

We report on a novel application of real-time reverse transcription-loop-mediated isothermal amplification (real-time RT-LAMP) to identify the presence of a specific body fluid using blood as a proof-of-concept model. By comparison with recently developed methods of body fluid identification, the RT-LAMP assay is rapid and requires only one simple heating-block maintained at a single temperature, circumventing the need for dedicated equipment. RNA was extracted from different body fluids (blood, semen, saliva, menstrual blood, sweat, and urine) for use in real-time RT-LAMP reaction. The 18S rRNA locus was used as the internal control and hemoglobin beta (HBB) as the blood-specific marker. Reverse transcription and LAMP reaction were performed in the same tube using a turbidimeter for real-time monitoring the reaction products within a threshold of 60 min. HBB LAMP products were only detected in blood and not in any of the other body fluid, but products from the 18S rRNA gene were detected in all the tested body fluids as expected. The limit of detection was a minimum of 10(-5) ng total RNA for detection of both 18S rRNA and HBB. Augmenting the detection of RT-LAMP products was performed by separation of the products using gel electrophoresis and collecting the fluorescence of calcein. The data collected indicated complete concordance with the body fluid tested regardless of the method of detection used. This is the first application of real-time RT-LAMP to detect body fluid specific RNA and indicates the use of this method in forensic biology.

DNA identification of monozygotic twins.

This study details the differentiation of identical twins based on single mutational base differences. There were three pairs of male monozygotic (MZ) twins in this study. DNA samples from blood, a buccal swab or saliva from each individual were all initially genotyped using 22 autosomal STR and 27 Y-STR loci. Preliminary screening confirmed there were no differences in the STR data between each pair of MZ twins. Whole Genome Sequence (WGS) data were generated from DNA extracted from the three body fluids from each individual. Kinship coefficients with 0.4254, 0.4557 and 0.4543 from 3 twins were generated based on WGS data to further confirm that their relationship was that of MZ twins. The fastq data generated by the Illumina Hiseq 2000 between MZ twins were then treated as "normal" as opposed to "tumor" using commercially available software tools to identify mutational single base changes. Sanger DNA sequencing confirmed there were 1, 5 and 9 single base changes found in WGS data from each of the three MZ twin sets. There was individual variation in the mutational base changes when comparing data from the three body fluids. The methods used in this study to differentiate MZ twins based on WGS data can readily be performed in many operational forensic DNA laboratories using user friendly software.

Rapid detection of blood using a novel application of RT-RPA integrated with CRISPR-Cas: ALAS2 detection as a model.

A rapid, sensitive and specific test for blood is reported based on a novel application of recombinase polymerase amplification integrated with CRISPR-Cas and lateral flow assay (LFA). The blood specific marker ALAS2 was used as the target to record the presence of blood. The assay used either RNA extracted from a body fluid as a template, or omitting this extraction step and using a direct approach where the questioned body fluid was added directly to the assay. The assay only detected blood (all peripheral blood and some menstrual blood samples) and no other body fluid (semen, saliva, or vaginal fluid). The limit of detection varied from an initial template of 0.195 ng extracted RNA (27 dilution) or 0.0218 µL (26 dilution) liquid peripheral blood. The assay gave the expected result when peripheral blood was mixed with saliva: ratios of peripheral blood/saliva at 19:1, 3:1, 1:1, 1:3 and 1:19 all gave a positive result using extracted RNA. By contrast, only three ratios of peripheral blood and saliva gave a positive result for blood (19:1, 3:1 and 1:1) when adding these two body fluids directly. When peripheral blood was mixed with semen there was a strong inhibition of the assay and ALAS2 could only be detected at ratio of 19:1 using RNA. Using reconstituted peripheral bloodstains gave comparable results to liquid peripheral blood. This is the first application of RT-RPA integrated CRISPR and combined with a LFA assay to detect body fluid-specific RNA. The proposed method opens up the potential to perform this method remote from laboratories such as at crime scenes.

The risk of false inclusion of a relative in parentage testing - an in silico population study.

AIM: To investigate the potential of false inclusion of a close genetic relative in paternity testing by using computer generated families. METHODS: 10000 computer-simulated families over three generations were generated based on genotypes using 15 short tandem repeat loci. These data were used in assessing the probability of inclusion or exclusion of paternity when the father is actually a sibling, grandparent, uncle, half sibling, cousin, or a random male. Further, we considered a duo case where the mother's DNA type was not available and a trio case including the mother's profile. RESULTS: The data showed that the duo scenario had the highest and lowest false inclusion rates when considering a sibling (19.03 ± 0.77%) and a cousin (0.51 ± 0.14%) as the father, respectively; and the rate when considering a random male was much lower (0.04 ± 0.04%). The situation altered slightly with a trio case where the highest rate (0.56 ± 0.15%) occurred when a paternal uncle was considered as the father, and the lowest rate (0.03 ± 0.03%) occurred when a cousin was considered as the father. We also report on the distribution of the numbers for non-conformity (non-matching loci) where the father is a close genetic relative. CONCLUSIONS: The results highlight the risk of false inclusion in parentage testing. These data provide a valuable reference when incorporating either a mutation in the father's DNA type or if a close relative is included as being the father; particularly when there are varying numbers of non-matching loci.

DNA identification from dental pulp and cementum.

Teeth are one of the body tissues remaining after severe decomposition from which a DNA profile can be obtained to aid in human identification. Currently, the standard approach to isolate DNA from teeth requires pulverizing the entire tooth. This destructive approach compromises any further morphological or anthropological study. We report on two methods of DNA isolation that minimizes destruction of the tooth when accessing the DNA within pulp and cementum. Forty-nine teeth, removed as part of normal dental procedures, were buried for up to 92 days, with a further nine teeth acting as unburied controls. Additionally, four teeth samples collected during a forensic examination were included in this study. The two processes were: using a fine drill to access the pulp from the crown and then using endodontic files to collect the biological material; and using a sterile blade to scrape the cementum. It was found that the samples collected from the cementum had greater DNA quality compared to those samples obtained from the pulp. Microbial activity was found to play a role in the degradation of the nuclear material, reducing DNA yields from pulp. DNA profiling data from 24 loci, including 22 STR markers, indicated that multi-rooted teeth provided better DNA quantity and quality than those with a single root. The DNA quantity obtained from pulp samples of teeth which exhibited cavities was adversely affected, although this DNA loss was not from samples collected from the cementum of teeth in similar condition. Obtaining samples from DNA profiling from the cementum was found to be ideal if the morphological preservation of the tooth is required. Obtaining pathogen DNA is of interest when an occlusal approach to retrieve pulp may serve as a good alternative to prepare DNA without destruction of the tooth structure.

Fifteen non-CODIS autosomal short tandem repeat loci multiplex data from nine population groups living in Taiwan.

The analysis of autosomal short tandem repeat (STR) loci is a powerful tool in forensic genetics. We developed a multiplex system in which 15 non-Combined DNA Index System autosomal STRs (D3S1744, D4S2366, D8S1110, D10S2325, D12S1090, D13S765, D14S608, Penta E, D17S1294, D18S536, D18S1270, D20S470, D21S1437, Penta D, and D22S683) could be amplified in one single polymerase chain reaction. DNA samples from 1,098 unrelated subjects of nine population groups living in Taiwan, including Taiwanese Han, indigenous Taiwanese of Taiwan Island, Tao, mainland Chinese, Filipinos, Thais, Vietnamese, Indonesians, and Caucasians, were collected and analyzed using this system. The distributions of the allelic frequencies and the forensic parameters of each population group were presented. The combined discrimination power and the combined power of exclusion were high in all population groups tested in this study. A multidimensional scaling plot of these nine population groups based on the Reynolds' genetic distances calculated from 15 autosomal STRs was constructed, and the genetic substructure in this area was presented. In conclusion, this 15 autosomal STR multiplex system provides highly informative STR data and appears useful in forensic casework and parentage testing in different populations.

A novel strategy for sibship determination in trio sibling model.

AIM: To use a virtually simulated population, generated from published allele frequencies based on 15 short tandem repeats (STR), to evaluate the efficacy of trio sibship testing and sibling assignment for forensic purposes. METHODS: Virtual populations were generated using 15 STR loci to create a large number of related and unrelated genotypes (10,000 trio combinations). Using these virtual populations, the probability of related and unrelated profiles can be compared to determine the chance of inclusions of being siblings if they are true siblings and the chance of inclusion if they are unrelated. Two specific relationships were tested - two reference siblings were compared to a third true sibling (3S trio, sibling trio) and two reference siblings were compared to an unrelated individual (2S1U trio, non-sibling trio). RESULTS: When the likelihood ratio was greater than 1, 99.87% of siblings in the 3S trio population were considered as siblings (sensitivity); 99.88% of non-siblings in the 2S1U trio population were considered as non-siblings (specificity); 99.9% of both populations were identified correctly as siblings and non-siblings; and the accuracy of the test was 99.88%. CONCLUSIONS: The high sensitivity and specificity figures when using two known siblings compared to a putative sibling are significantly greater than when using only one known relative. The data also support the use of increasing number of loci allowing for greater confidence in genetic identification. The system established in this study could be used as the model for evaluating and simulating the cases with multiple relatives.