Related Experiment Video
Updated: Jan 27, 2026
10:30
A Piglet Model of Neonatal Hypoxic-Ischemic Encephalopathy
Published on: May 16, 2015
20.2K
The correlation between AGT gene polymorphism and neonatal hypoxic-ischemic encephalopathy (HIE)
1Department of Disease Control, Zhengzhou University Affiliated Children's Hospital, Henan Children's Hospital Hospital, Zhengzhou Children's Hospital, Zhengzhou, China. Gaochao996@sina.com.
European Review for Medical and Pharmacological Sciences
|March 28, 2019
Summary
Neonatal hypoxic-ischemic encephalopathy (HIE) is linked to maternal factors and the angiotensinogen (AGT) gene rs2067853 polymorphism. This genetic variant is associated with HIE risk in newborns.
Area of Science:
- Genetics
- Neonatal Medicine
- Obstetrics
Background:
- Neonatal hypoxic-ischemic encephalopathy (HIE) is a significant cause of newborn mortality and morbidity.
- Maternal and environmental factors play a crucial role in the development of HIE.
- Genetic predispositions, including variations in the angiotensinogen (AGT) gene, may influence HIE susceptibility.
Purpose of the Study:
- To investigate the association between the rs2067853 polymorphism in the AGT gene and neonatal HIE.
- To identify potential genetic markers for HIE risk.
Main Methods:
- A case-control study involving 96 neonates with HIE and 123 healthy controls.
- Genotyping for the AGT rs2067853 polymorphism using the TaqMan-MGB probe method.
- Analysis of clinical data including maternal and neonatal factors.
Main Results:
- Significant differences in genotype distribution and recessive model were observed between HIE cases and controls (p<0.05).
- No significant difference in allele distribution was found between the groups (p>0.05).
- Maternal factors like advanced maternal age and abnormal labor were more frequent in the HIE group.
Conclusions:
- The rs2067853 polymorphism in the AGT gene is associated with neonatal HIE.
- HIE development is influenced by a combination of maternal factors, fetal growth, uterine environment, and labor processes.
Related Concept Videos
02:20Correlations
35.8K
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...
35.8K
01:27Correlation and Causation
42.5K
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...
42.5K
01:09Correlation
14.8K
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:
14.8K
01:05Single Nucleotide Polymorphisms-SNPs
18.0K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
18.0K
01:21Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism
686
Polymorphism refers to the existence of a drug substance in multiple crystalline forms, known as polymorphs. Recently, this term has been expanded to include solvates (forms containing a solvent), amorphous forms (non-crystalline forms), and desolvated solvates (forms from which the solvent has been removed).
Some polymorphic crystals possess lower aqueous solubility than their amorphous counterparts, leading to incomplete absorption. For instance, the oral suspension of Chloramphenicol, which...
Some polymorphic crystals possess lower aqueous solubility than their amorphous counterparts, leading to incomplete absorption. For instance, the oral suspension of Chloramphenicol, which...
686
00:53Correlation and Regression
3.2K
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...
3.2K