精神分裂症动物模型和人类研究中的全基因组DNA甲基化:一项荟萃分析方案。

Q1 Medicine
BMJ Open Science Pub Date : 2022-08-25 eCollection Date: 2022-01-01 DOI:10.1136/bmjos-2021-100264
Thabo Magwai, Fredrick Otieno Oginga, Bonginkosi Chiliza, Thabisile Mpofana, Khethelo Richman Xulu
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引用次数: 0

摘要

简介和目的:精神分裂症等神经精神疾病是异质性的,因为它们是由于各种因素的相互作用而发生的。这些因素包括但不限于遗传、表观遗传、神经生物学和环境因素。像其他表观遗传修饰一样,DNA甲基化是神经精神疾病的危险因素。候选基因方法项目在寻找候选基因甲基化方面产生了相互矛盾的结果。目前的全基因组研究存在局限性。搜索策略:穷尽搜索策略旨在恢复精神分裂症患者或精神分裂症大鼠模型中全基因组DNA甲基化的研究。检索Medline (PubMed)、SCOPUS和Web of Science数据库,共收录文献4077篇。筛选和注释:研究将经过两个阶段的筛选,标题和摘要筛选和文章筛选,由两名审稿人纳入。第三审稿人将在文章筛选阶段解决任何分歧。数据将通过系统审查工具(http://syrf.org.uk/)收集。所有纳入的研究都将进行研究质量和偏倚风险评估。数据管理和报告:数据将被提取并用于计算效应量。为了这个荟萃分析的目的,将使用随机效应模型来组合效应大小。将评估异质性,并确定来源。将进行风险偏倚评估以评估研究的质量。还将对发表偏倚进行评估。伦理与传播:由于本研究没有参与者,因此不需要伦理批准。我们将遵循系统评价和荟萃分析报告指南的首选报告项目,并通过出版物和会议报告传播研究结果。普洛斯彼罗注册号:CRD42021283159。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome-wide DNA methylation in an animal model and human studies of schizophrenia: a protocol for a meta-analysis.

Introduction and objective: Neuropsychiatric disorders like schizophrenia are heterogeneous in that they occur because of the interaction of factors. These factors include but are not limited to genetic, epigenetic, neurobiological and environmental factors. Methylation of DNA, like other erpigenetic modifications, is risk factors for neuropsychiatric disorders. Candidate gene approach projects have produced contradictory results to find candidate gene methylation. The current genome-wide studies have limitations.

Search strategy: An exhaustive search strategy was designed to recover studies on genome-wide DNA methylation in schizophrenia patients or schizophrenia rat models. The Medline (PubMed), SCOPUS and Web of Science, databases were searched, giving 4077 references in total.

Screening and annotation: Studies will undergo two phases of screening, title and abstract screening and article screening, for inclusion by two reviewers. A third reviewer will resolve any disagreements in the article screening phase. Data will be collected using the Systematic Review Facility (http://syrf.org.uk/) tool. All included studies will undergo study quality and risk of bias assessment.

Data management and reporting: Data will be extracted and used to calculate effect sizes. For the purpose of this meta-analysis, a random effects model will be used to combine effect sizes. Heterogeneity will be assessed, and the sources identified. A risk-of-bias assessment will be carried out to assess the quality of the studies. An assessment of publication bias will also be carried out.

Ethics and dissemination: No ethical approval is required as there are no participants in the study. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines and disseminate the findings through publication and conference presentation.

Prospero registration number: CRD42021283159.

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来源期刊
BMJ Open Science
BMJ Open Science Medicine-General Medicine
CiteScore
10.00
自引率
0.00%
发文量
9
审稿时长
31 weeks
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