Identification and characterization of copy number variations (CNVs) in dengue patients and its impact with vascular leakage / Zuraihan Zakaria

Zakaria, Zuraihan (2016) Identification and characterization of copy number variations (CNVs) in dengue patients and its impact with vascular leakage / Zuraihan Zakaria. In: The Doctoral Research Abstracts. IGS Biannual Publication, 10 (10). Institute of Graduate Studies, UiTM, Shah Alam.

Abstract

Dengue fever is a mosquito-borne tropical disease caused by dengue virus. When infected by any of the four serotypes of dengue viruses, individuals may be asymptomatic or develop a dengue fever. The latter group can progress into severe form of dengue and the etiology of this is still uncertain. This study aims to elucidate copy number variations (CNVs) of the host genes as the factor causing dengue pathogenesis. Blood samples were collected from hospitalized dengue patients and proceeded to DNA extraction. DNA samples (136) were used for genotyping with Human Genome GeneChip 6.0. CNVs were called using Genotyping Console (GTC) 4.1 and Nexus Copy Number 7.0. Results from both algorithms were merged and stringent CNVs were filtered with three public databases; DGV, HapMap3 and SGVP in search for rare case- specific CNVs. Casespecific underlying genes were used in functional analysis with DAVID and IPA to explicate the dengue related biological processes. Significant genes of interest from both softwares were validated using qPCR. Hundred and thirty-six DNA samples from hospitalized dengue patients in four different hospitals were genotyped. A total number of 50,864 (24,806 gains and 26,059 loss) and 34,257 (31,725 gains and 2,534 loss) CNV events were discovered by GTC and Nexus, respectively. After merging, only 3,052 (2,132 gain and 920 loss) stringent CNVs were left…

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Zakaria, Zuraihan
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Dissertations, Academic. Preparation of theses > Malaysia
R Medicine > RB Pathology > Clinical pathology. Laboratory technique
Divisions: Universiti Teknologi MARA, Shah Alam > Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IGS Biannual Publication
Volume: 10
Number: 10
Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM;
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/20126
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20126

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