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Item Forensic applications of associating human scalp hair morphology and pigmentation analysis at the microscopic and molecular level(2017-08) Stubbs, Wesli Kay; Walsh, Susan; Picard, Christine; Berbari, NicholasCriminal investigation and the science behind evidence analysis is an ever- growing niche, and forensic DNA phenotyping (FDP) is no exception. For years the only information given to authorities regarding DNA found at a crime scene was STR analysis and matching to a comparative DNA sample from a known source. However, what happens when there is no suspect to compare DNA profiles, or the case involves a missing person where the only available piece of evidence is a biological sample found at the scene? Before FDP, not much could be done with the DNA sample and the investigation would be stalled. Now it is becoming possible to statistically predict an individual’s visual characteristics using FDP. Currently, with the use of Irisplex, HIrisplex, and HIrisplex-S, statistical analyses and predictions can be done for categorical eye, hair, and skin color by looking at specific genes and their associative SNPs, such as HERC2 and OCA2. The more that is understood about trait-determining genes and their functional significance with regards to our physical traits, the more phenotypes can be added to these prediction tools. In an effort to discover additional genes associated with human phenotypes, this study looked at thirty-two pigmentation-associated candidate genes, and eleven hair structure and morphology associated genes in owl monkey pelage samples. Although the samples were not of human origin, it is important to point out the high conservation between humans and their non-human primate relatives. The owl monkeys used in this study were helpful for tracking expression levels of genes controlling differentpigmentation and hair structure types, because each monkey had intra-individual variation in thickness and in coat color which allowed the generation of potential candidate genes for human investigation. Of the 43 total candidate genes analyzed, 36 had successful amplification, and 28 showed a significant difference in expression when comparing the different samples. The second part of this study was to compare quantitative characteristics of human hair in physical samples and two-dimensional (2D) photos. A test set of 45 individuals had 3-5 hairs from the vertex of their head plucked and analyzed, and a 2D photograph was taken of their scalp hair. The idea was to be able to make quantitative phenotypes in hair (such as hair width, amount of curl) from 2D imagery, when physical samples are not available for analysis. This is due to the fact that the majority of genotype-phenotype databases consist solely of photographic imagery, and seldom have hairs that can be microscopically prepared for analysis. Defining measurable phenotypes from 2D photos that strongly correlate with their physical counterparts allow for the generation of a more accurate phenotype for future genome wide association studies (GWAS) within and outside this laboratory that study hair thickness and hair curl. Three different quantitative phenotypes were compared between the microscopic and 2D photo- analysis.Item Forensic DNA phenotyping and massive parallel sequencing(2017-12-04) Breslin, Krystal; Walsh, SusanIn the forensic science community, there is an immense need for tools to help assist investigations where conventional DNA profiling methods have been non-informative. Forensic DNA Phenotyping (FDP) aims to bridge that gap and aid investigations by providing physical appearance information when other investigative methods have been exhausted. To create a “biological eye witness”, it becomes necessary to constantly improve these methods in order to develop a complete and accurate image of the individual who left the sample. To add to our previous prediction systems IrisPlex and HIrisPlex, we have developed the HIrisPlex-S system for the all-in-one combined prediction of eye, hair, and skin color from DNA. The skin color prediction model uses 36 variants that were recently proposed for the accurate prediction of categorical skin color on a global scale, and the system is completed by the developmental validation of a 17-plex capillary electrophoresis (CE) genotyping assay that is run in conjunction with the HIrisPlex assay to generate these genotypes. The predicted skin color output includes Very Pale, Pale, Intermediate, Dark and Dark-to-Black categories in addition to categorical eye (Blue, Intermediate, and Brown) and hair (Black, Brown, Blond, and Red) color predictions. We demonstrate that the HIrisPlex-S assay performs in full agreement with guidelines from the Scientific Working Group on DNA Analysis Methods (SWGDAM), achieving high sensitivity levels with a minimum 63pg DNA input. In addition to adding skin color to complete the pigmentation prediction system termed HIrisPlex-S, we successfully designed a Massively Parallel Sequencing (MPS) assay to complement the system and bring Next Generation Sequencing (NGS) to the forefront of forensic DNA analyses methods. Using Illumina’s MiSeq system enables the generation of HIrisPlex-S’s 41 variants using sequencing data that has the capacity to xiii better deconvolute mixtures and perform with even more sensitivity and accuracy. This transition opens the door for a plethora of new ways in which this physical appearance assay can grow as sequencing technology is not limited by variant number; therefore, in essence many more traits have the potential to be included in this one assay design. For now, the HIrisPlex-S design of 41 variants using MPS is being fully assessed according to SWGDAM validated guidelines; therefore, this design paves the way for Forensic DNA Phenotyping to be used in any forensic laboratory. This new and improved HIrisPlex-S system will have a profound impact on casework, missing persons cases, and anthropological cases, as it is relatively inexpensive to run, HIrisPlex-S is easy to use, developmentally validated and one of the largest systems freely available online for physical appearance prediction from DNA using the freely available online web tool found at https://hirisplex.erasmusmc.nl/. Lastly, moving forward in our aim to include additional traits for prediction from DNA, we contributed to a large-scale research collaboration to unearth variants associated with hair morphology. 1026 samples were successfully sequenced using an inhouse MPS design at 91 proposed hair morphological loci. From this reaction, we were able to contribute to the identification of significant correlations between the SNPs rs2219783, rs310642 and rs80293268 with categorical hair morphology: straight, wavy or curly.