Browsing by Subject "Pigmentation"

Now showing 1 - 4 of 4
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    Explicit Modeling of Ancestry Improves Polygenic Risk Scores and BLUP Prediction
    (Wiley, 2015-09) Chen, Chia-Yen; Han, Jiali; Hunter, David J.; Kraft, Peter; Price, Alkes L.; Department of Epidemiology, Richard M. Fairbanks School of Public Health
    Polygenic prediction using genome-wide SNPs can provide high prediction accuracy for complex traits. Here, we investigate the question of how to account for genetic ancestry when conducting polygenic prediction. We show that the accuracy of polygenic prediction in structured populations may be partly due to genetic ancestry. However, we hypothesized that explicitly modeling ancestry could improve polygenic prediction accuracy. We analyzed three GWAS of hair color (HC), tanning ability (TA), and basal cell carcinoma (BCC) in European Americans (sample size from 7,440 to 9,822) and considered two widely used polygenic prediction approaches: polygenic risk scores (PRSs) and best linear unbiased prediction (BLUP). We compared polygenic prediction without correction for ancestry to polygenic prediction with ancestry as a separate component in the model. In 10-fold cross-validation using the PRS approach, the R(2) for HC increased by 66% (0.0456-0.0755; P < 10(-16)), the R(2) for TA increased by 123% (0.0154 to 0.0344; P < 10(-16)), and the liability-scale R(2) for BCC increased by 68% (0.0138-0.0232; P < 10(-16)) when explicitly modeling ancestry, which prevents ancestry effects from entering into each SNP effect and being overweighted. Surprisingly, explicitly modeling ancestry produces a similar improvement when using the BLUP approach, which fits all SNPs simultaneously in a single variance component and causes ancestry to be underweighted. We validate our findings via simulations, which show that the differences in prediction accuracy will increase in magnitude as sample sizes increase. In summary, our results show that explicitly modeling ancestry can be important in both PRS and BLUP prediction.
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    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, Nicholas
    Criminal 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.
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    Hierarchical modeling of melanocortin 1 receptor variants with skin cancer risk
    (Wiley, 2018-09) Joshi, Amit D.; Li, Xin; Kraft, Peter; Han, Jiali; Epidemiology, School of Public Health
    The human MC1R gene is highly polymorphic among lightly pigmented populations, and several variants in the MC1R gene have been associated with increased risk of both melanoma and nonmelanoma skin cancers. The functional consequences of MC1R gene variants have been studied in vitro and in vivo in postulated causal pathways, such as G-protein-coupled signaling transduction, pigmentation, immune response, inflammatory response, cell proliferation, and extracellular matrix adhesion. In a case-control study nested within the Nurses' Health Study, we utilized hierarchical modeling approaches, incorporating quantitative information from these functional studies, to examine the association between particular MC1R alleles and the risk of skin cancers. Different prior matrices were constructed according to the phenotypic associations in controls, cell surface expression, and enzymatic kinetics. Our results showed the parameter variance estimates of each single nucleotide polymorphism (SNP) were smaller when using a hierarchical modeling approach compared to standard multivariable regression. Estimates of second-level parameters gave information about the relative importance of MC1R effects on different pathways, and odds ratio estimates changed depending on prior models (e.g., the change ranged from -21% to 7% for melanoma risk assessment). In addition, the estimates of prior model hyperparameters in the hierarchical modeling approach allow us to determine the relevance of individual pathways on the risk of each of the skin cancer types. In conclusion, hierarchical modeling provides a useful analytic approach in addition to the widely used conventional models in genetic association studies that can incorporate measures of allelic function.
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    Leukocyte Tyrosine Kinase ( Ltk) Is the Mendelian Determinant of the Axolotl Melanoid Color Variant
    (MDPI, 2023-04-13) Kabangu, Mirindi; Cecil, Raissa; Strohl, Lloyd, II; Timoshevskaya, Nataliya; Smith, Jeramiah J.; Voss, Stephen R.; Medicine, School of Medicine
    The great diversity of color patterns observed among amphibians is largely explained by the differentiation of relatively few pigment cell types during development. Mexican axolotls present a variety of color phenotypes that span the continuum from leucistic to highly melanistic. The melanoid axolotl is a Mendelian variant characterized by large numbers of melanophores, proportionally fewer xanthophores, and no iridophores. Early studies of melanoid were influential in developing the single-origin hypothesis of pigment cell development, wherein it has been proposed that all three pigment cell types derive from a common progenitor cell, with pigment metabolites playing potential roles in directing the development of organelles that define different pigment cell types. Specifically, these studies identified xanthine dehydrogenase (XDH) activity as a mechanism for the permissive differentiation of melanophores at the expense of xanthophores and iridophores. We used bulked segregant RNA-Seq to screen the axolotl genome for melanoid candidate genes and identify the associated locus. Dissimilar frequencies of single-nucleotide polymorphisms were identified between pooled RNA samples of wild-type and melanoid siblings for a region on chromosome 14q. This region contains gephyrin (Gphn), an enzyme that catalyzes the synthesis of the molybdenum cofactor that is required for XDH activity, and leukocyte tyrosine kinase (Ltk), a cell surface signaling receptor that is required for iridophore differentiation in zebrafish. Wild-type Ltk crispants present similar pigment phenotypes to melanoid, strongly implicating Ltk as the melanoid locus. In concert with recent findings in zebrafish, our results support the idea of direct fate specification of pigment cells and, more generally, the single-origin hypothesis of pigment cell development.