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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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Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
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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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Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
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Correlation Between MTHFR Polymorphisms and Hepatocellular Carcinoma: A Meta-analysis.

Hailong Su1

  • 1Department of Pediatrics, Yantai Yuhuangding Hospital, Qingdao University , Yantai , Shandong , China.

Nutrition and Cancer
|July 9, 2019
PubMed
Summary

The MTHFR rs1801131 polymorphism is linked to a lower risk of liver cancer (HCC) in Asians. However, the MTHFR rs1801133 polymorphism shows no significant association with HCC risk.

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Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Background:

  • Methylenetetrahydrofolate reductase (MTHFR) gene polymorphisms are studied for their potential role in various cancers.
  • The association between MTHFR polymorphisms and hepatocellular carcinoma (HCC) risk remains inconclusive.
  • Understanding these genetic links can aid in personalized risk assessment for HCC.

Purpose of the Study:

  • To systematically evaluate the correlation between MTHFR gene polymorphisms (rs1801131 and rs1801133) and the risk of developing HCC.
  • To clarify the controversial findings regarding MTHFR polymorphisms and HCC susceptibility.
  • To identify potential genetic biomarkers for HCC risk stratification.

Main Methods:

  • A systematic literature review was conducted across PubMed, Medline, and Embase databases.
  • Relevant studies investigating MTHFR polymorphisms and HCC were included.
  • Statistical analysis using odds ratios (ORs) and 95% confidence intervals (CIs) was performed, employing fixed-effect and random-effect models.

Main Results:

  • The analysis included 15 studies with a total of 8,378 participants.
  • The MTHFR rs1801131 polymorphism showed a significant association with reduced HCC likelihood in recessive models (OR=0.62).
  • Subgroup analysis indicated rs1801131 significantly correlates with HCC risk in Asians (recessive model: OR=0.42; allele model: OR=1.20).
  • No significant association was found for the MTHFR rs1801133 polymorphism with HCC risk in any comparison.

Conclusions:

  • The MTHFR rs1801131 polymorphism may be a potential genetic biomarker for HCC risk, particularly in Asian populations.
  • The MTHFR rs1801133 polymorphism does not appear to be significantly associated with HCC.
  • Further research is warranted to fully elucidate the role of MTHFR variants in hepatocarcinogenesis.