Identification of five novel genetic loci related to facial morphology by genome-wide association studies.

BACKGROUND: Face morphology is strongly determined by genetic factors. However, only a small number of genes related to face morphology have been identified to date. Here, we performed a two-stage genome-wide association study (GWAS) of 85 face morphological traits in 7569 Koreans (5643 in the discovery set and 1926 in the replication set). RESULTS: In this study, we analyzed 85 facial traits, including facial angles. After discovery GWAS, 128 single nucleotide polymorphisms (SNPs) showing an association of P < 5 × 10- 6 were selected to determine the replication of the associations, and meta-analysis of discovery GWAS and the replication analysis resulted in five genome-wide significant loci. The OSR1-WDR35 [rs7567283, G allele, beta (se) = -0.536 (0.096), P = 2.75 × 10- 8] locus was associated with the facial frontal contour; the HOXD1-MTX2 [rs970797, A allele, beta (se) = 0.015 (0.003), P = 3.97 × 10- 9] and WDR27 [rs3736712, C allele, beta (se) = 0.293 (0.048), P = 8.44 × 10- 10] loci were associated with eye shape; and the SOX9 [rs2193054, C allele, beta (se) (ln-transformed) = -0.007 (0.001), P = 6.17 × 10- 17] and DHX35 [rs2206437, A allele, beta (se) = -0.283 (0.047), P = 1.61 × 10- 9] loci were associated with nose shape. WDR35 and SOX9 were related to known craniofacial malformations, i.e., cranioectodermal dysplasia 2 and campomelic dysplasia, respectively. In addition, we found three independent association signals in the SOX9 locus, and six known loci for nose size and shape were replicated in this study population. Interestingly, four SNPs within these five face morphology-related loci showed discrepancies in allele frequencies among ethnic groups. CONCLUSIONS: We identified five novel face morphology loci that were associated with facial frontal contour, nose shape, and eye shape. Our findings provide useful genetic information for the determination of face morphology.

Differential pre-amplification of STR loci for fragmented forensic DNA profiling.

DNA profiling of short tandem repeats (STR) has been successfully used for the identification of individuals in forensic samples, accidents and natural disasters. However, STR profiling of DNA isolated from old crime scenes and damaged biological samples is difficult due to DNA degradation and fragmentation. Here, we show that pre-amplification of STR loci using biotinylated primers for the STR loci is an efficient strategy to obtain STR profiling results from fragmented forensic samples. Analysis of STR loci with longer amplicon sizes is generally hampered, since these relatively long loci are vulnerable to DNA fragmentation. This problem was overcome by using reduced or increased primer concentrations for loci with shorter or longer amplicon sizes, respectively, in our pre-amplification strategy. In addition, pre-amplification of STR loci into two groups of short or long amplicon size increases the efficiency of STR profiling from highly fragmented forensic DNA samples. Therefore, differential pre-amplification of STR loci is an effective way to obtain DNA profiling results from fragmented forensic samples.

Optimization of STR locus enrichment for STR profiling of fragmented DNA.

DNA degradation is a major obstacle in gaining an accurate profile with standard DNA typing technology. Although alternative genotyping strategies such as mini-STRs and SNPs have proven to be more successful in profiling degraded DNA, these approaches also have limitations. Here, we show that locus enrichment by hybridization of degraded genomic DNA with an STR locus-specific biotinylated oligonucleotide is a powerful approach to overcome problems in STR typing of highly degraded DNA. An experimental investigation of factors affecting the efficiency of this method indicates that the choice of primer and molar ratio of primers to genomic DNA are critical factors in improving enrichment of the STR locus before genotyping with multiplex kits. In addition, we find that indirect capture rather than direct capture with magnetic beads yields better enrichment efficiency for STR locus enrichments. Using these strategies, we demonstrate an improvement in STR typing of DNA from cultured cells damaged by exposure to sunlight or UV. We suggest that this approach could be applied to highly degraded forensic samples alone or in combination with mini-STRs.

Microarray screening and qRT-PCR evaluation of microRNA markers for forensic body fluid identification.

MicroRNAs (miRNA) are a class of small (∼22 nucleotides) noncoding RNAs that regulate diverse biological processes at the post-transcriptional level. MiRNAs have great potential for forensic body fluid identification because they are expressed in a tissue specific manner and are less prone to degradation. Previous studies reported several miRNAs as body fluid specific, but there are few overlaps among them. Here, we used a genome-wide miRNA microarray containing over 1700 miRNAs to assay 20 body fluid samples and identify novel miRNAs useful for forensic body fluid identification. Based on Shannon Entropy and Q-statistics, 203 miRNAs specifically expressed in each body fluid were first selected. Eight miRNAs were then selected as novel forensically relevant miRNA markers: miR-484 and miR-182 for blood, miR-223 and miR-145 for saliva, miR-2392 and miR-3197 for semen, and miR-1260b and miR-654-5p for vaginal secretions. When the eight selected miRNAs were evaluated in 40 additional body fluid samples by qRT-PCR, they showed high sensitivity and specificity for the identification of the target body fluid. We suggest that the eight miRNAs may be candidates for developing an effective molecular assay for forensic body fluid identification.

Identification and evaluation of age-correlated DNA methylation markers for forensic use.

In forensics, age prediction is useful to narrow down the number of potential suspects because it can provide some general characteristics for predicting appearance. Previous genome-wide studies based on DNA methylation have reported age prediction algorithms using a penalized multivariate regression method known as elastic net and a few dozen to hundreds of CpG sites. Although more CpG sites may provide better accuracy than fewer CpG sites, this approach is not applicable to forensics because the amounts of crime-scene DNA are usually limited. In this study, we selected three age-correlated CpG sites, namely cg16867657 (ELOVL2), which is known to be an excellent age predictor, cg04208403 (ZNF423), and cg19283806 (CCDC102B), from HumanMethylation450 BeadChip datasets of 1415 individuals. Furthermore, we evaluated these markers in a 535-sample training set and a 230-sample validation set from Korean individuals using a pyrosequencing platform. From the training set, an age prediction model using the multiple linear regression method explained 91.44% of age-correlated variation in DNA methylation patterns. The standard error of estimate and mean absolute deviation were 6.320 and 3.156 years, respectively. In the validation set, the standard error of estimate and mean absolute deviation were estimated as 6.853 and 3.346 years, respectively. For the validation set, the model explained 91.08% of the variation in methylation and predicted age (±6years) with accuracy of 77.30% in the <60years age group and 57.30% in the older group (≥60 years). These results suggest that our three DNA methylation markers may be useful for age prediction in samples from Asian populations.

Total integrated slidable and valveless solid phase extraction-polymerase chain reaction-capillary electrophoresis microdevice for mini Y chromosome short tandem repeat genotyping.

A fully integrated slidable and valveless microsystem, which performs solid phase DNA extraction (SPE), micro-polymerase chain reaction (µPCR) and micro-capillary electrophoresis (µCE) coupled with a portable genetic analyser, has been developed for forensic genotyping. The use of a slidable chip, in which a 1 µL-volume of the PCR chamber was patterned at the center, does not necessitate any microvalves and tubing systems for fluidic control. The functional micro-units of SPE, µPCR, and µCE were fabricated on a single glass wafer by conventional photolithography, and the integrated microdevice consists of three layers: from top to bottom, a slidable chip, a channel wafer in which a SPE chamber, a mixing microchannel, and a CE microchannel were fabricated, and a Ti/Pt resistance temperature detector (RTD) wafer. The channel glass wafer and the RTD glass wafer were thermally bonded, and the slidable chip was placed on the designated functional unit. The entire process from the DNA extraction using whole human blood sample to identification of target Y chromosomal short tandem repeat (STR) loci was serially carried out with simply sliding the slidable chamber from one to another functional unit. Monoplex and multiplex detection of amelogenin and mini Y STR loci were successfully analysed on the integrated slidable SPE-µPCR-µCE microdevice by using 1 µL whole human blood within 60 min. The proposed advanced genetic analysis microsystem is capable of point-of-care DNA testing with sample-in-answer-out capability, more importantly, without use of complicated microvalves and microtubing systems for liquid transfer.

Identification of body fluid-specific DNA methylation markers for use in forensic science.

DNA methylation, which occurs at the 5'-position of the cytosine in CpG dinucleotides, has great potential for forensic identification of body fluids, because tissue-specific patterns of DNA methylation have been demonstrated, and DNA is less prone to degradation than proteins or RNA. Previous studies have reported several body fluid-specific DNA methylation markers, but DNA methylation differences are sometimes low in saliva and vaginal secretions. Moreover, specific DNA methylation markers in four types of body fluids (blood, saliva, semen, and vaginal secretions) have not been investigated with genome-wide profiling. Here, we investigated novel DNA methylation markers for identification of body fluids for use in forensic science using the Illumina HumanMethylation 450K bead array, which contains over 450,000 CpG sites. Using methylome data from 16 samples of blood, saliva, semen, and vaginal secretions, we first selected 2986 hypermethylated or hypomethylated regions that were specific for each type of body fluid. We then selected eight CpG sites as novel, forensically relevant DNA methylation markers: cg06379435 and cg08792630 for blood, cg26107890 and cg20691722 for saliva, cg23521140 and cg17610929 for semen, and cg01774894 and cg14991487 for vaginal secretions. These eight selected markers were evaluated in 80 body fluid samples using pyrosequencing, and all showed high sensitivity and specificity for identification of the target body fluid. We suggest that these eight DNA methylation markers may be good candidates for developing an effective molecular assay for identification of body fluids in forensic science.

Forensic Body Fluid Identification by Analysis of Multiple RNA Markers Using NanoString Technology.

RNA analysis has become a reliable method of body fluid identification for forensic use. Previously, we developed a combination of four multiplex quantitative PCR (qRT-PCR) probes to discriminate four different body fluids (blood, semen, saliva, and vaginal secretion). While those makers successfully identified most body fluid samples, there were some cases of false positive and negative identification. To improve the accuracy of the identification further, we tried to use multiple markers per body fluid and adopted the NanoString nCounter system instead of a multiplex qRT-PCR system. After measuring tens of RNA markers, we evaluated the accuracy of each marker for body fluid identification. For body fluids, such as blood and semen, each body fluid-specific marker was accurate enough for perfect identification. However, for saliva and vaginal secretion, no single marker was perfect. Thus, we designed a logistic regression model with multiple markers for saliva and vaginal secretion and achieved almost perfect identification. In conclusion, the NanoString nCounter is an efficient platform for measuring multiple RNA markers per body fluid and will be useful for forensic RNA analysis.

Genome-wide mRNA profiling and multiplex quantitative RT-PCR for forensic body fluid identification.

In forensic science, identifying a tissue where a forensic specimen was originated is one of the principal challenges. Messenger RNA (mRNA) profile clearly reveals tissue-specific gene expression patterns that many attempts have been made to use RNA for forensic tissue identification. To systematically investigate the body-fluid-specific expression of mRNAs and find novel mRNA markers for forensic body fluid identification, we performed DNA microarray experiment with 24 Korean body fluid samples. Shannon entropy and Q-values were calculated for each gene, and 137 body-fluid-specific candidate genes were selected. By applying more stringent criteria, we further selected 28 candidate genes and validated them by RT-PCR and qRT-PCR. As a result, we suggest a novel combination of four body-fluid-specific mRNA makers: PPBP for blood, FDCSP for saliva, MSMB for semen and MSLN for vaginal secretion. Multiplex qRT-PCR assay was designed using the four mRNA markers and DNA/RNA co-extraction method was tested for forensic use. This study will provide a thorough examination of body-fluid-specifically expressed mRNAs, which will enlarge the possibility of practical use of RNA for forensic purpose.