Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/209111
Title: Autophagy Related Gene ATG5 Genetic Variants and Hepatitis B Virus Infection Susceptibility
Researcher: Vij, Avni
Guide(s): Changotra, Harish
Keywords: ATG12-ATG5-ATG16L1
ATG5
Hepatitis B
nsSNPs
Susceptibility
University: Jaypee University of Information Technology, Solan
Completed Date: 2018
Abstract: Hepatitis B is a severe liver inflammation caused by Hepatitis B virus (HBV). Host genetic factors influence HBV acquisition and outcome. Moreover, HBV has been demonstrated to utilize an autophagy process to promote its replication. Various autophagy-related (ATG) genes regulate the process at different stages and among them; ATG5 is a key regulatory gene that promotes autophagosome formation by interacting with ATG12 and ATG16L1 to form a complex with E3 like activity. Single Nucleotide Polymorphisms (SNPs) in the ATG5 gene have been strongly linked to a variety of diseases like asthma, Paget disease of bone and thyroid carcinoma. Moreover, a non-synonymous SNP (nsSNP), E122D in ATG5 has been shown to impair its interaction with ATG12 leading to the disruption of autophagosome formation. However, until now, SNPs in ATG5 gene have not been studied for their association with HBV infection susceptibility. In this study, we have predicted deleterious nsSNPs (M129V, A95D, and I65V) and analyzed their impact on the structure and function of the ATG5 protein through a computational approach. In addition, we selected non-coding SNPs (rs2245214, rs12212740, and rs510432) of ATG5 gene and genotyped those in 550 HBV infected patients and 250 healthy individuals. We found a strong association of the nsSNP M129V (rs34793250 (T/C), OR=3.35 (T vs. C), p=0.01) and the non-coding SNPs (rs2245214 (C/G), OR=1.30 (C vs. G), p=0.02 and rs510432 (G/A), OR=1.66 (GG vs. GA), p=0.01) with HBV infection susceptibility. Therefore, these SNPs could be utilized as biomarkers for HBV risk analysis in our population after validation. Further, the influence of these SNPs on the patients treatment response could be investigated to develop better therapeutic strategies based on the host genotype. newline
Pagination: 
URI: http://hdl.handle.net/10603/209111
Appears in Departments:Department of Biotechnology

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01_title.pdfAttached File113.76 kBAdobe PDFView/Open
02_certificates.pdf650.37 kBAdobe PDFView/Open
03_table of contents,list of tables,list of figures, abstract.pdf216.94 kBAdobe PDFView/Open
04_chapter 1.pdf195.63 kBAdobe PDFView/Open
05_chapter 2.pdf1.33 MBAdobe PDFView/Open
06_chapter 3.pdf472.17 kBAdobe PDFView/Open
07_chapter 4.pdf2.03 MBAdobe PDFView/Open
08_chapter 5.pdf270.78 kBAdobe PDFView/Open
09_conclusion & future prospects.pdf470.55 kBAdobe PDFView/Open
10_references.pdf367.88 kBAdobe PDFView/Open
11_appendix.pdf382.76 kBAdobe PDFView/Open
12_list of publications.pdf170.06 kBAdobe PDFView/Open
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