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Analysis of genetic variation in human papillomavirus type 16 E1 and E2 in women with cervical infection in Xinjiang, China1.96 MB
Published VersionCC BY-NC V4.0, Open Access
Journal article
Analysis of genetic variation in human papillomavirus type 16 E1 and E2 in women with cervical infection in Xinjiang, China
BMC Medical Genomics, Vol.14(1), pp.1-9
2021
Abstract
Background: Xinjiang is one of the regions with a high incidence of cervical cancer, and the genetic variation of human papillomavirus may increase its ability to infect the human body and enhance virus-mediated immune escape ability.
Methods: Sanger sequencing of the HPV16 genome from 165 samples positive for HPV16 infection and phyloge-netic analysis of the E1 and E2 genes revealed the gene polymorphism of HPV16 in Xinjiang.
Results: The results showed that there were 109 samples with variations in HPV16 E1, 48 sites with nucleotide variations (19 missense variations and 29 synonymous variations), and 91 samples with variations in HPV16 E2, 25 sites with nucleotide variations (20 missense variations and five synonymous variations).
Conclusions: From the phylogenetic tree results, 149 samples were of the European variant and 16 samples were of the Asian variant. No African or North American/Asian variant types were found.
Details
- Title
- Analysis of genetic variation in human papillomavirus type 16 E1 and E2 in women with cervical infection in Xinjiang, China
- Authors
- Luyue Wang (Author) - Shihezi UniversityFang Wang (Author) - Shihezi UniversityShaowei Fu (Author) - Shihezi UniversityChunhe Zhang (Author) - Shihezi UniversityXiangyi Zhe (Author) - Shihezi UniversityHongtao Li (Author) - Shihezi UniversityDongmei Li (Author) - Shihezi UniversityRenfu Shao (Author) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - LegacyZemin Pan (Author) - Shihezi University
- Publication details
- BMC Medical Genomics, Vol.14(1), pp.1-9
- Publisher
- Biomed Central Ltd.
- Date published
- 2021
- DOI
- 10.1186/s12920-021-01120-9
- ISSN
- 1755-8794
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99586008202621
- Output Type
- Journal article
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- Domestic collaboration
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- Genetics & Heredity
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