Browsing by Author "Eller, Ryan"

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    Enhancing Our Genetic Knowledge of Human Iris Pigmentation and Facial Morphology
    (2019-12) Eller, Ryan; Walsh, Susan; Berbari, Nicolas; Lapish, Christopher; Picard, Christine; Roper, Randall
    The biological underpinnings that control iris pigmentation and facial morphology are two areas of research that over the last decade are becoming more thoroughly investigated due to the increased affordability of genotyping and advances in technology allowing for more advanced analysis techniques. Despite the ease of access to the data and the tools required to perform iris pigmentation and facial morphological studies, there are still numerous challenges researchers must overcome when exploring the genetics of these complex phenotypes. Some of these challenges include difficulty in working with the bioinformatic programs designed to analyze genetic associations, the inability to define a phenotype that captures the true nature of these traits, and analysis techniques that fail to model complex gene-gene interactions and their effect on a phenotype or phenotypes of interest. In this body of work, I attempted to address these challenges by designing a bioinformatic pipeline, Odyssey, that bridges the communication gaps between various data preparation programs and the programs that analyze genomic data. With this program, genome-wide association studies (GWAS) could be conducted in a quicker, more efficient, and easier manner. I also redefined iris color as a quantitative measurement of pre-defined color classes. In this way it is possible to define and quantify the unique and intricate mixtures of color, which allows for the identification of known and novel variants that affect individual iris color. I also improved upon current prediction models by developing a neural network model capable of predicting a quantitative output to four pre-defined classes; blue/grey, light brown (hazel), perceived green, and dark brown. I examined the effects of defining a simple facial morphology phenotype that more accurately captures the lower face and jaw shape. I then analyzed this phenotype via a GWAS and found several novel variants that may be associated with a square and diamond shaped face. Lastly, I demonstrated that structural equation modeling can be used in combination with traditional GWAS to examine interactions amongst associated variants, which unearths potential biological relationships that impact the multifaceted phenotype of facial morphology.
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    Forensic DNA Phenotyping: Improving the Prediction of Eye, Hair, and Skin Color through Quantitative Measurement
    (Office of the Vice Chancellor for Research, 2015-04-17) Breslin, Krystal; Eller, Ryan; Muralidharan, Charanya; Walsh, Susan
    Without a match in the DNA database or a reference profile, current methods in forensic DNA profiling fail to give any leads to further criminal investigations. Forensic DNA Phenotyping bridges that gap in the investigation by providing ‘intelligence’ through the identification of externally visible characteristics of the unknown individual from their biological sample left at the crime scene. Recent work on eye and hair color prediction using a tool called ‘HIrisPlex’ has allowed accurate predictions of blue or brown eye color with a precision greater than 95%, and of hair color with a precision of approximately 75% for blond, brown, black and red categories. DNA phenotyping is a new and exciting area of DNA profiling, however there are areas that still require improvement. These include the prediction of intermediate eye colors such as green, or the mechanisms and/or genes involved in age-dependent hair color changes. At this time, categorical skin color prediction is still being developed and will soon be included in the HIrisPlex system, however it is not until the day that pigmentation measurements move toward a quantitative color scale that accuracy will be at a maximum. Our research hopes to target this area specifically. While the predication of categorical measurements is helpful, the term “light brown” is subjective and leads to the possibility of error in interpretation. In order to circumvent this interpretation issue, understanding quantitative color prediction is key. To achieve this, we are in the midst of a database collection of approximately 5000 individuals in which we will perform genome-wide association studies (GWAS) to locate additional eye, hair and skin color genes associated with a quantitative pigment scale phenotype. This database will help create a world-wide representative statistical panel from which quantitative predictive measures can be ascertained. Furthermore, in conjunction with computer programming techniques, it will allow the creation of a user-friendly software program that will enable the prediction of pigmentation-related externally visible characteristics such as eye, hair and skin color. This software has the capacity to be a revolutionary intelligence tool to aid law enforcement investigations by producing a color-print out biological mugshot.