eprintid: 39024 rev_number: 11 userid: 9353 dir: disk0/00/03/90/24 datestamp: 2020-07-30 17:13:48 lastmod: 2020-07-30 17:13:48 status_changed: 2020-07-30 17:13:48 type: thesis_degree metadata_visibility: show contact_email: dkamasaquashie@gmail.com item_issues_id: duplicate_title_38518 item_issues_type: duplicate_title item_issues_description: Duplicate title to Kamasa-Quashie, Dzigbordi Relationship Between Single Nucleotide Polymorphisms and Severe Dengue in a Brazilian Population. Master's Thesis, University of Pittsburgh. (Unpublished) item_issues_timestamp: 2020-05-15 06:02:25 item_issues_status: autoresolved item_issues_count: 0 eprint_status: archive creators_name: Kamasa-Quashie, Dzigbordi creators_email: dzk6@pitt.edu creators_id: dzk6 title: Relationship Between Single Nucleotide Polymorphisms and Severe Dengue in a Brazilian Population ispublished: unpub divisions: sch_gsph_infectiousdiseasesmicrobiology full_text_status: public keywords: Dengue, polymorphism, SNP abstract: Dengue virus has become one of the most important arboviral diseases of today. With nearly half of the global population at risk, this infectious disease carries great significance. The aim of this study was to determine the relationship between 18 single nucleotide polymorphisms (SNPs) and severe dengue in a population from Recife, Brazil. The SNPs of interest are as follows: TLR8 rs17256081, IFNG rs2069718, IFNG rs2069727, IRF1 rs2070729, OAS2 rs2072137, OAS2 rs2072138, OAS3 rs2240188, MX1 rs3737399, VEPH1 rs3911403, IRAK4 rs4251580, CLEC4C rs17199006, PLCE1 rs3740360, MRC1 rs606231248, MRC1 rs2296414, RNASEL rs486907, OASL rs3213545, MX1 rs7277299, and MICB rs3132468. A total of 450 DNA samples were pulled from two studies—a cohort study of dengue patients and a yellow fever vaccine cohort. Sample concentrations were tested using the Nanodrop 1000 Spectrometer. The concentrations of all samples were between 10-100 ng/uL, per the laboratory technician’s request. Samples were transported to the University of Pittsburgh’s Genomic Core Research Laboratory for genotyping using the iPlex MassARRAY system and results were analyzed using Microsoft Excel and R statistical software. Of the 18 SNPs, statistically significant results were observed for OAS2 rs2072137, OAS3 rs2240188, PLCE1 rs3740360, and MX1 rs7277299. For OAS2 rs2072137, the CC genotype was shown to be significantly associated with severe dengue (OR=2.10, P=0.01). The CC genotype associated with OAS3 rs2240188 also appears to influence disease severity (OR=1.96, P=0.02). For PLCE1 rs3740360, calculations reveal a significant association between the AA genotype and severe dengue (OR=2.28, P=0.03). The last notable result was found in MX1 rs7277299 (OR=5.33, P=0.02) where the CC genotype was also significantly associated with severe disease. Though this is one of the largest dengue-related gene association studies, further research is necessary to validate the findings. The increasing burden of dengue disease signifies the public health importance of this research—to contribute to the advancement of dengue research, vaccine development, therapeutic strategies, and diagnostic tools. date: 2020-07-30 date_type: published pages: 60 institution: University of Pittsburgh refereed: TRUE etdcommittee_type: committee_chair etdcommittee_type: committee_member etdcommittee_type: committee_member etdcommittee_name: Martinson, Jeremy etdcommittee_name: Marques, Ernesto etdcommittee_name: Russell, Joanne etdcommittee_email: jmartins@pitt.edu etdcommittee_email: marques@pitt.edu etdcommittee_email: joanner@pitt.edu etd_defense_date: 2020-04-16 etd_approval_date: 2020-07-30 etd_submission_date: 2020-05-14 etd_release_date: 2020-07-30 etd_access_restriction: immediate etd_patent_pending: FALSE thesis_type: thesis degree: MPH citation: Kamasa-Quashie, Dzigbordi (2020) Relationship Between Single Nucleotide Polymorphisms and Severe Dengue in a Brazilian Population. Master's Thesis, University of Pittsburgh. (Unpublished) document_url: http://d-scholarship-dev.library.pitt.edu/39024/1/KamasaQuashie_D_MPHthesis_4_2020.pdf