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Related Concept Videos

Correlation01:09

Correlation

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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:
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Correlation and Regression00:53

Correlation and Regression

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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...
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Correlation and Causation01:27

Correlation and Causation

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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
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Correlations02:20

Correlations

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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...
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Associative Learning01:27

Associative Learning

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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.
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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Updated: Jul 27, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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Association between the

Xuemei Hu1,2, Mingyang Zhao1,2, Xue Yang2

  • 1Clinical Medical College of Jining Medical University, Jining, Shandong, China.

Frontiers in Physiology
|June 5, 2023
PubMed
Summary
This summary is machine-generated.

This meta-analysis found no significant link between SLC6A11 rs2304725 and GABRG2 rs211037 variants and drug-resistant epilepsy (DRE). However, rs2304725 showed a correlation in the over-dominant model, and rs211037 indicated a genetic risk in Asian populations.

Keywords:
GABRG2SLC6A11drug-resistant epilepsymeta-analysissingle-nucleotide polymorphism

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Area of Science:

  • Genetics
  • Neurology
  • Pharmacogenomics

Background:

  • Previous studies suggest a link between SLC6A11 and GABRG2 genes and drug-resistant epilepsy (DRE).
  • Conflicting results in the literature necessitate a systematic evaluation of this association.
  • Understanding genetic factors in DRE is crucial for developing targeted therapies.

Conclusions:

  • SLC6A11 rs2304725 and GABRG2 rs211037 are not significantly correlated with DRE in the general pooled population.
  • The over-dominant model for rs2304725 and specific models in Asian populations for rs211037 warrant further investigation.
  • Genetic variations in SLC6A11 and GABRG2 may play a role in DRE, particularly in specific ethnic groups or genetic models.