PAX9或MSX1基因多态化与牙发育风险之间的关联:一个元分析
Xiaoyi Zhong1,2, Kaixin Liu3, Zhenmin Liu1,4,5
1Hospital of Stomatology, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Open life sciences
|April 14, 2025
概括
PAX9的遗传变异,特别是rs2073247和rs2073244,与牙产生 (牙损失) 的风险增加有关. 然而,MSX1 rs12532与这种情况没有任何关联.
科学领域:
- 遗传学 遗传学 是一个
- 发展生物学 发展生物学
- 口腔健康 口腔健康
背景情况:
- 失去牙是一种常见的牙发育形式,影响美学,功能和心理健康.
- 遗传因素显著影响牙发育,突变可能导致牙产生.
- 了解基因与牙损失的关联,可以为临床干预提供信息.
研究的目的:
- 为了研究PAX9和MSX1基因多态和牙损失之间的相关性.
- 识别与牙发育风险相关的特定遗传标记物.
主要方法:
- 在多个数据库中进行了系统的文献搜索,截至2024年4月1日.
- 使用STATA 11.2进行了元分析,以计算赔率比率 (OR) 和95%置信区间 (CI).
- 统计分析包括元回归,灵敏度分析,出版偏差评估和贝叶斯可靠性指标.
主要成果:
- 在PAX9 rs2073247和PAX9 rs2073244多态性和牙发育风险之间发现了统计学上显著的关联.
- 没有观察到MSX1rs12532多态和牙产生之间的关联.
- 亚组分析表明,对于研究的PAX9多态性,高加索和匈牙利人群中牙损失的风险增加.
结论:
- PAX9 rs2073247和PAX9 rs2073244的多态可能会增加牙发病的风险.
- 这些发现表明,未来研究的治疗和预防牙脱落策略可能会成为潜在的遗传点.
- 进一步了解基因突变机制对于临床应用至关重要.
更多相关视频
08:43Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
7.8K
09:38Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
14.8K
相关概念视频
01:09Correlation
11.5K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
11.5K
00:53Correlation and Regression
1.2K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
1.2K
01:53Cause and Effect
10.8K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
10.8K
02:20Correlations
32.0K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.0K
01:27Correlation and Causation
37.2K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
37.2K
01:27Associative Learning
246
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
246