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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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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.
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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.
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Single Nucleotide Polymorphisms-SNPs01:05

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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,...
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Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism01:21

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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).
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Correlation and Regression00:53

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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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A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
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[Correlation between CYP2C19 Gene Polymorphism and Elderly Cerebral Infarction].

Dan Jun Fan1, Chen Yi Li1, Jin Chen1

  • 1Department of Medical Care for Cadres,Zhejiang Hospital,Hangzhou 310013,China.

Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae
|January 5, 2019
PubMed
Summary
This summary is machine-generated.

The CYP2C19 gene rs4244285 A allele is linked to a higher risk of cerebral infarction in older adults. This genetic variation may contribute to stroke incidence in the elderly population.

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Area of Science:

  • Genetics
  • Neurology
  • Geriatrics

Background:

  • Cerebral infarction, or stroke, is a leading cause of disability and mortality in the elderly.
  • Genetic factors, including variations in drug-metabolizing enzymes like CYP2C19, may influence stroke risk.
  • Understanding the role of specific gene polymorphisms in elderly stroke is crucial for risk stratification and prevention.

Purpose of the Study:

  • To investigate the association between specific CYP2C19 gene polymorphisms (rs4244285 and rs4986893) and the risk of cerebral infarction in an elderly population.
  • To analyze the correlation between CYP2C19 genetic variations and clinical risk factors for stroke.

Main Methods:

  • Gene chip technology was used to genotype two CYP2C19 polymorphisms (rs4244285 and rs4986893) in 72 elderly patients with acute cerebral infarction and 77 healthy controls.
  • Logistic regression analysis was performed to assess the association between the polymorphisms and stroke risk, adjusting for conventional cerebrovascular risk factors.

Main Results:

  • The frequencies of the rs4244285 GG genotype and the A allele were significantly higher in the cerebral infarction group compared to the control group.
  • Logistic regression analysis, after adjusting for risk factors, indicated that the rs4244285 A allele significantly increased the risk of stroke.
  • No significant differences were observed in the distribution of rs4986893 alleles or other rs4244285 genotypes (GA, AA) between the groups.

Conclusions:

  • CYP2C19 genetic polymorphism, specifically the rs4244285 A allele, may be associated with an increased risk of cerebral infarction in the elderly.
  • Further research with larger sample sizes is warranted to confirm these findings and elucidate the underlying mechanisms.