Journal article
Screening for HPV infection in exfoliated cervical cells of women from different ethnic groups in Yili, Xinjiang, China
Scientific Reports, Vol.9, 3468
2019
Abstract
We investigated the infection status and genotype distribution of human papillomavirus (HPV) in women of different ages and various ethnic groups in the Yili region, Xinjiang, China. We checked the HPV genotypes of 3,445 samples of exfoliated cervical cells using the PCR-reverse dot blot method. The total infection rate of HPV was 25.60% (882/3,445). The ethnic stratification showed that the infection rates were 22.87% (196/857) in Uygur, 21.55% (122/566) in Kazak, and 27.89% (564/2,022) in Han individuals. The most prevalent high-risk genotypes were HPV16, HPV52, and HPV53 in Uygur and Kazak and HPV16, HPV52, and HPV58 in Han ethnic groups. The age stratification showed that the infection rates in Han, Uygur, and Kazak women were up to 40.9% (61/149) in those aged 26-30 years, 41.5% (22/53) in those over 61 years old, and 30.2% (29/96) in those 46-50 years old, respectively. Therefore, HPV infection and HPV genotype distribution varied among the different age groups of the three ethnic groups.
Details
- Title
- Screening for HPV infection in exfoliated cervical cells of women from different ethnic groups in Yili, Xinjiang, China
- Authors
- Zhenzhen Pan (Author) - Shihezi University, ChinaYuning Song (Author) - Shihezi University, ChinaXiangyi Zhe (Author) - Shihezi University, ChinaWeibin Wang (Author) - Shihezi University, ChinaJunling Zhu (Author) - Shihezi University, ChinaWeinan Zheng (Author) - Shihezi University, ChinaHongtao Li (Author) - Shihezi University, ChinaLi Dongmei (Author) - Shihezi University, ChinaDongdong Cao (Author) - Shihezi University, ChinaZemin Pan (Author) - Shihezi University, ChinaRenfu Shao (Author) - University of the Sunshine Coast - School of Science & Engineering
- Publication details
- Scientific Reports, Vol.9, 3468; 7
- Publisher
- Nature Publishing Group
- Date published
- 2019
- DOI
- 10.1038/s41598-019-39790-2
- ISSN
- 2045-2322
- Copyright note
- Copyright © The Author(s) 2019. Open Access 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 license, and indicate if changes were made. Te images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99451364202621
- Output Type
- Journal article
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