Browsing by Author "Parson, Walther"

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    DNA Testing Reveals the Putative Identity of JB55, a 19th Century Vampire Buried in Griswold, Connecticut
    (MDPI, 2019-08-22) Daniels-Higginbotham, Jennifer; Gorden, Erin M.; Farmer, Stephanie K.; Spatola, Brian; Damann, Franklin; Bellantoni, Nicholas; Gagnon, Katie S.; de la Puente, Maria; Xavier, Catarina; Walsh, Susan; Parson, Walther; McMahon, Timothy P.; Marshall, Charla; Biology, School of Science
    In 1990 in Griswold, Connecticut, archaeologists excavated a burial found in a "skull and crossbones" orientation. The lid of the 19th century coffin had brass tacks that spelled "JB55", the initials of the person lying there and age at death. JB55 had evidence of chronic pulmonary infection, perhaps tuberculosis. It is possible that JB55 was deemed a vampire due to his disease, and therefore had to be "killed" by mutilating his corpse. In an attempt to reveal the identity of JB55, DNA testing was performed. Ancestry informative single nucleotide polymorphism (SNP) analysis using the Precision ID Ancestry Panel indicated European ancestry. A full Y-chromosomal short tandem repeat (Y-STR) profile was obtained, belonging to haplogroup R1b. When the Y-STR profile was searched in the publicly accessible FamilyTreeDNA R1b Project website, the two closest matches had the surname "Barber". A search of historical records led to a death notice mentioning John Barber, whose son Nathan Barber was buried in Griswold in 1826. The description of Nathan Barber closely fits the burial of "NB13," found near JB55. By applying modern forensic DNA tools to a historical mystery, the identity of JB55 as John Barber, the 19th century Connecticut vampire, has been revealed.
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    Towards broadening Forensic DNA Phenotyping beyond pigmentation: Improving the prediction of head hair shape from DNA
    (Elsevier, 2018-11) Pośpiech, Ewelina; Chen, Yan; Kukla-Bartoszek, Magdalena; Breslin, Krystal; Aliferi, Anastasia; Andersen, Jeppe D.; Ballard, David; Chaitanya, Lakshmi; Freire-Aradas, Ana; van der Gaag, Kristiaan J.; Girón-Santamaría, Lorena; Gross, Theresa E.; Gysi, Mario; Huber, Gabriela; Mosquera-Miguel, Ana; Muralidharan, Charanya; Skowron, Malgorzata; Carracedo, Ángel; Haas, Cordula; Morling, Niels; Parson, Walther; Phillips, Christopher; Schneider, Peter M.; Sijen, Titia; Syndercombe-Court, Denise; Vennemann, Marielle; Wu, Sijie; Xu, Shuhua; Jin, Li; Wang, Sijia; Zhu, Ghu; Martin, Nick G.; Medland, Sarah E.; Branicki, Wojciech; Walsh, Susan; Liu, Fan; Kayser, Manfred; Biology, School of Science
    Human head hair shape, commonly classified as straight, wavy, curly or frizzy, is an attractive target for Forensic DNA Phenotyping and other applications of human appearance prediction from DNA such as in paleogenetics. The genetic knowledge underlying head hair shape variation was recently improved by the outcome of a series of genome-wide association and replication studies in a total of 26,964 subjects, highlighting 12 loci of which 8 were novel and introducing a prediction model for Europeans based on 14 SNPs. In the present study, we evaluated the capacity of DNA-based head hair shape prediction by investigating an extended set of candidate SNP predictors and by using an independent set of samples for model validation. Prediction model building was carried out in 9674 subjects (6068 from Europe, 2899 from Asia and 707 of admixed European and Asian ancestries), used previously, by considering a novel list of 90 candidate SNPs. For model validation, genotype and phenotype data were newly collected in 2415 independent subjects (2138 Europeans and 277 non-Europeans) by applying two targeted massively parallel sequencing platforms, Ion Torrent PGM and MiSeq, or the MassARRAY platform. A binomial model was developed to predict straight vs. non-straight hair based on 32 SNPs from 26 genetic loci we identified as significantly contributing to the model. This model achieved prediction accuracies, expressed as AUC, of 0.664 in Europeans and 0.789 in non-Europeans; the statistically significant difference was explained mostly by the effect of one EDAR SNP in non-Europeans. Considering sex and age, in addition to the SNPs, slightly and insignificantly increased the prediction accuracies (AUC of 0.680 and 0.800, respectively). Based on the sample size and candidate DNA markers investigated, this study provides the most robust, validated, and accurate statistical prediction models and SNP predictor marker sets currently available for predicting head hair shape from DNA, providing the next step towards broadening Forensic DNA Phenotyping beyond pigmentation traits.