What is coexpression analysis?

One method to infer gene function and geneā€“disease associations from genome-wide gene expression is co-expression network analysis (Figure 1), an approach that constructs networks of genes with a tendency to co-activate across a group of samples and subsequently interrogates and analyses this network.

What is gene gene correlation?

In multivariate quantitative genetics, a genetic correlation (denoted or. ) is the proportion of variance that two traits share due to genetic causes, the correlation between the genetic influences on a trait and the genetic influences on a different trait estimating the degree of pleiotropy or causal overlap.

What is protein co-expression?

Protein co-expression analysis provides a complementary view of underlying trends, which can be overlooked by conventional data analysis. The core of the present study is based on Weighted Gene Co-expression Network Analysis applied to a glioblastoma multiforme proteomic dataset.

How is gene coexpression measured?

Gene expression measurement is usually achieved by quantifying levels of the gene product, which is often a protein. Two common techniques used for protein quantification include Western blotting and enzyme-linked immunosorbent assay or ELISA.

What are co-expression modules?

Modules or the highly connected subgraphs in gene co-expression networks correspond to clusters of genes that have a similar function or involve in a common biological process which causes many interactions among themselves.

How do you interpret genetic correlation?

A genetic correlation is defined as the proportion of the heritability that is shared between two traits divided by the square root of the product of the heritability for each trait.

What are the two causes of genetic correlation between traits?

Genetic correlations can arise from two causes; (i) Pleiotropy: One gene or several genes may influence multiple traits, (ii) Gametic phase disequilibrium between genes affecting different traits.

What does overexpression mean?

(OH-ver-ek-SPRES) In biology, to make too many copies of a protein or other substance. Overexpression of certain proteins or other substances may play a role in cancer development.