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The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction
BACKGROUND: Preeclampsia has genetic correlation. Many studies have shown that microRNA (miRNA) polymorphism is highly associated with preeclampsia, but the results are inconsistent. The purpose of this study is to systematically evaluate the relationship between miRNA polymorphism and preeclampsia....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036089/ https://www.ncbi.nlm.nih.gov/pubmed/33832165 http://dx.doi.org/10.1097/MD.0000000000025477 |
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author | Li, Tao Chen, Yihong Lai, Yi He, Guoqian He, Guolin |
author_facet | Li, Tao Chen, Yihong Lai, Yi He, Guoqian He, Guolin |
author_sort | Li, Tao |
collection | PubMed |
description | BACKGROUND: Preeclampsia has genetic correlation. Many studies have shown that microRNA (miRNA) polymorphism is highly associated with preeclampsia, but the results are inconsistent. The purpose of this study is to systematically evaluate the relationship between miRNA polymorphism and preeclampsia. METHODS: In this study, the search time is set from the establishment of the database on January 2021. The search database include China National Knowledge Infrastructure (CNKI), Wanfang, VIP and China Biology Medicine disc (CBM), PubMed, EMBASE, and Web of Science, and the Cochrane Library. The subjects are case-control studies on the relationship between miRNA polymorphism and preeclampsia. The language is limited to English and Chinese. The data of the included study are extracted and the literature quality is evaluated by 2 researchers independently. The data are statistically analyzed through Stata 16.0 software. We also predicted the miRNA secondary structure and the binding sites of miRNA interaction with its target genes RESULTS: This review will be disseminated in print by peer-review. CONCLUSION: This study will provide evidence-based medicine to elucidate the genetic tendency of preeclampsia. ETHICS AND DISSEMINATION: Private information from individuals will not be published. This systematic review also does not involve endangering participant rights. Ethical approval will not be required. The results may be published in a peer-reviewed journal or disseminated at relevant conferences. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/MJY2X. |
format | Online Article Text |
id | pubmed-8036089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-80360892021-04-13 The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction Li, Tao Chen, Yihong Lai, Yi He, Guoqian He, Guolin Medicine (Baltimore) 4400 BACKGROUND: Preeclampsia has genetic correlation. Many studies have shown that microRNA (miRNA) polymorphism is highly associated with preeclampsia, but the results are inconsistent. The purpose of this study is to systematically evaluate the relationship between miRNA polymorphism and preeclampsia. METHODS: In this study, the search time is set from the establishment of the database on January 2021. The search database include China National Knowledge Infrastructure (CNKI), Wanfang, VIP and China Biology Medicine disc (CBM), PubMed, EMBASE, and Web of Science, and the Cochrane Library. The subjects are case-control studies on the relationship between miRNA polymorphism and preeclampsia. The language is limited to English and Chinese. The data of the included study are extracted and the literature quality is evaluated by 2 researchers independently. The data are statistically analyzed through Stata 16.0 software. We also predicted the miRNA secondary structure and the binding sites of miRNA interaction with its target genes RESULTS: This review will be disseminated in print by peer-review. CONCLUSION: This study will provide evidence-based medicine to elucidate the genetic tendency of preeclampsia. ETHICS AND DISSEMINATION: Private information from individuals will not be published. This systematic review also does not involve endangering participant rights. Ethical approval will not be required. The results may be published in a peer-reviewed journal or disseminated at relevant conferences. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/MJY2X. Lippincott Williams & Wilkins 2021-04-09 /pmc/articles/PMC8036089/ /pubmed/33832165 http://dx.doi.org/10.1097/MD.0000000000025477 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | 4400 Li, Tao Chen, Yihong Lai, Yi He, Guoqian He, Guolin The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction |
title | The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction |
title_full | The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction |
title_fullStr | The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction |
title_full_unstemmed | The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction |
title_short | The relationship between polymorphisms of microRNA and preeclampsia: A protocol for meta-analysis and bioinformatics prediction |
title_sort | relationship between polymorphisms of microrna and preeclampsia: a protocol for meta-analysis and bioinformatics prediction |
topic | 4400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036089/ https://www.ncbi.nlm.nih.gov/pubmed/33832165 http://dx.doi.org/10.1097/MD.0000000000025477 |
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