IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0050887.html
   My bibliography  Save this article

Hsa-miR-499 rs3746444 Polymorphism Contributes to Cancer Risk: A Meta-Analysis of 12 Studies

Author

Listed:
  • Man-Tang Qiu
  • Jing-Wen Hu
  • Xiang-Xiang Ding
  • Xin Yang
  • Zhi Zhang
  • Rong Yin
  • Lin Xu

Abstract

Background: Single nucleotide polymorphisms (SNPs) occurred in pre-microRNAs or targets of microRNAs (miRs) may contribute to cancer risks. Since 2007, many studies have investigated the association between common SNPs located on hsa-miR-499 (rs3746444) and cancer risks; however, the results were inconclusive. Methodology/Principal Findings: We conducted a meta-analysis of 12 studies that included 5765 cases and 7076 controls to identify the strength of association. Odds ratio (OR) and 95% confidence intervals (95% CI) were used to assess the strength of association. Overall, individuals with the variant AG (OR = 1.215, 95% CI: 1.027, 1.437; Pheterogeneity

Suggested Citation

  • Man-Tang Qiu & Jing-Wen Hu & Xiang-Xiang Ding & Xin Yang & Zhi Zhang & Rong Yin & Lin Xu, 2012. "Hsa-miR-499 rs3746444 Polymorphism Contributes to Cancer Risk: A Meta-Analysis of 12 Studies," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-7, December.
  • Handle: RePEc:plo:pone00:0050887
    DOI: 10.1371/journal.pone.0050887
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0050887
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0050887&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0050887?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jonathan B. Johnnidis & Marian H. Harris & Robert T. Wheeler & Sandra Stehling-Sun & Michael H. Lam & Oktay Kirak & Thijn R. Brummelkamp & Mark D. Fleming & Fernando D. Camargo, 2008. "Regulation of progenitor cell proliferation and granulocyte function by microRNA-223," Nature, Nature, vol. 451(7182), pages 1125-1129, February.
    2. Jing Guo & Mingjuan Jin & Mingwu Zhang & Kun Chen, 2012. "A Genetic Variant in miR-196a2 Increased Digestive System Cancer Risks: A Meta-Analysis of 15 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-7, January.
    3. Hai Lian & Lei Wang & Jingmin Zhang, 2012. "Increased Risk of Breast Cancer Associated with CC Genotype of Has-miR-146a Rs2910164 Polymorphism in Europeans," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-7, February.
    4. Victor Ambros, 2004. "The functions of animal microRNAs," Nature, Nature, vol. 431(7006), pages 350-355, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anmar M. Nassir & Hatem A. Sembawa & Nasser A. Elhawary & Ahmad H. Mufti & Samar N. Ekram & MohammedT. Tayeb & Nasser A. Elhawary & Abdulaziz S. Baazeem & Hisham Saada & Ikhlas A. Sindi & Asim Khogeer, 2019. "Potential Functions of MicroRNA Biomarkers as a Prognostic Factor in Urothelial Bladder Carcinoma in a Saudi Community," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 23(5), pages 17766-17775, December.
    2. Yu-jiao Wu & Xin Yang & Xiao-xiao Wang & Man-Tang Qiu & Yi-zhong You & Zhi-xin Zhang & Shan-mei Zhu & Lin Xu & Feng-lei Tang, 2013. "Association of Vitamin D Receptor BsmI Gene Polymorphism with Risk of Tuberculosis: A Meta-Analysis of 15 Studies," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-8, June.
    3. Zhenqiang Fang & Fanglin Chen & Xiangwei Wang & Shanhong Yi & Wei Chen & Gang Ye, 2013. "XRCC1 Arg194Trp and Arg280His Polymorphisms Increase Bladder Cancer Risk in Asian Population: Evidence from a Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-7, May.
    4. LuShun Zhang & HaoJie Qin & Xuan Guan & Kui Zhang & ZhiRong Liu, 2013. "The TLR9 Gene Polymorphisms and the Risk of Cancer: Evidence from a Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-7, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kshitij Srivastava & Anvesha Srivastava, 2012. "Comprehensive Review of Genetic Association Studies and Meta-Analyses on miRNA Polymorphisms and Cancer Risk," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-1, November.
    2. Li Li & Yunjian Sheng & Lin Lv & Jian Gao, 2013. "The Association between Two MicroRNA Variants (miR-499, miR-149) and Gastrointestinal Cancer Risk: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    3. Zhongxia Wang & Yin Cao & Chunping Jiang & Guang Yang & Junhua Wu & Yitao Ding, 2012. "Lack of Association of Two Common Polymorphisms rs2910164 and rs11614913 with Susceptibility to Hepatocellular Carcinoma: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-8, June.
    4. José María Galván-Román & Ángel Lancho-Sánchez & Sergio Luquero-Bueno & Lorena Vega-Piris & Jose Curbelo & Marcos Manzaneque-Pradales & Manuel Gómez & Hortensia de la Fuente & Mara Ortega-Gómez & Javi, 2020. "Usefulness of circulating microRNAs miR-146a and miR-16-5p as prognostic biomarkers in community-acquired pneumonia," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-13, October.
    5. Xing Chen & Jun Yin & Jia Qu & Li Huang, 2018. "MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-24, August.
    6. Yanyan Wang & Yujie Zhang & Chi Pan & Feixia Ma & Suzhan Zhang, 2015. "Prediction of Poor Prognosis in Breast Cancer Patients Based on MicroRNA-21 Expression: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-13, February.
    7. Thierry Chekouo & Francesco C. Stingo & James D. Doecke & Kim-Anh Do, 2015. "miRNA–target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer," Biometrics, The International Biometric Society, vol. 71(2), pages 428-438, June.
    8. Xing Chen & Li Huang, 2017. "LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction," PLOS Computational Biology, Public Library of Science, vol. 13(12), pages 1-28, December.
    9. Ang Li & Yingwei Deng & Yan Tan & Min Chen, 2021. "A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    10. Charlotte Glinge & Sebastian Clauss & Kim Boddum & Reza Jabbari & Javad Jabbari & Bjarke Risgaard & Philipp Tomsits & Bianca Hildebrand & Stefan Kääb & Reza Wakili & Thomas Jespersen & Jacob Tfelt-Han, 2017. "Stability of Circulating Blood-Based MicroRNAs – Pre-Analytic Methodological Considerations," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-16, February.
    11. Kay Sin Tan & Arunmozhiarasi Armugam & Sugunavathi Sepramaniam & Kai Ying Lim & Karolina Dwi Setyowati & Chee Woon Wang & Kandiah Jeyaseelan, 2009. "Expression Profile of MicroRNAs in Young Stroke Patients," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-9, November.
    12. Alexander Link & Verena Becker & Ajay Goel & Thomas Wex & Peter Malfertheiner, 2012. "Feasibility of Fecal MicroRNAs as Novel Biomarkers for Pancreatic Cancer," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-9, August.
    13. Hossain Ahmed & Beyene Joseph, 2013. "Estimation of weighted log partial area under the ROC curve and its application to MicroRNA expression data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(6), pages 743-755, December.
    14. LuShun Zhang & HaoJie Qin & Xuan Guan & Kui Zhang & ZhiRong Liu, 2013. "The TLR9 Gene Polymorphisms and the Risk of Cancer: Evidence from a Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-7, August.
    15. Hai Lian & Lei Wang & Jingmin Zhang, 2012. "Increased Risk of Breast Cancer Associated with CC Genotype of Has-miR-146a Rs2910164 Polymorphism in Europeans," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-7, February.
    16. Xue Qin & Yan Deng & Zhi-Yu Zeng & Qi-Liu Peng & Xiu-Li Huang & Cui-Ju Mo & Shan Li & Jin-Min Zhao, 2013. "Myeloperoxidase Polymorphism, Menopausal Status, and Breast Cancer Risk: An Update Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    17. Fabricio F Costa & Jared M Bischof & Elio F Vanin & Rishi R Lulla & Min Wang & Simone T Sredni & Veena Rajaram & Maria de Fátima Bonaldo & Deli Wang & Stewart Goldman & Tadanori Tomita & Marcelo B Soa, 2011. "Identification of MicroRNAs as Potential Prognostic Markers in Ependymoma," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-10, October.
    18. Le Thi Truc Linh, 2018. "The Microrna 29 family and its regulation," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 8(1), pages 18-27.
    19. Changzheng Li & Weijun Fu & Yu Zhang & Liang Zhou & Zhi Mao & Weiran Lv & Juan Li & Ye Zhou, 2015. "Meta-Analysis of MicroRNA-146a rs2910164 G>C Polymorphism Association with Autoimmune Diseases Susceptibility, an Update Based on 24 Studies," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    20. Seyedehsadaf Asfa & Halil Ibrahim Toy & Reza Arshinchi Bonab & George P. Chrousos & Athanasia Pavlopoulou & Styliani A. Geronikolou, 2023. "Soft Tissue Ewing Sarcoma Cell Drug Resistance Revisited: A Systems Biology Approach," IJERPH, MDPI, vol. 20(13), pages 1-17, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0050887. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.