Sentence examples for between expression variation and from inspiring English sources

ACGH experiments have already shown that more than 3% of the human genome is affected by copy number variants (CNVs) [1], [2], that there is a relationship between expression variation and copy number variation [3], [4], [5], [6], and that CNVs contribute to disease susceptibility [1], [7], [8], [9].

In contrast, the relationship between expression variation and toxicity degree is absent for non-TATA-containing genes.

If the hypothesis is true, we would expect a higher association between expression variation and toxicity degree within the ESR genes than that within the non-ESR genes.

However, the association between expression variation and toxicity degree for the non-TATA-containing group is only marginally significant (R2 = 0.13%, β = -0.02338, p-value = 0.0413).

The negative correlation between expression variation and interaction degree implies that protein with high interaction degrees do not tolerate extensive expression variation and such protein need more precise control on gene expression for an organism to function normally.

Most importantly, we show that significant negative correlation between expression variation and toxicity degree is only present for TATA-containing genes and that toxicity degree accounts for 1.3 2.6% of the expression variation.

Combining the search of eQTL with that of QTL of industrially relevant traits may be of interest to gain insight into the relationships between expression variations and wine yeast traits.

We observed a positive correlation between interaction degree and toxicity degree (data not shown) and, therefore, asked whether the observed negative correlation between gene expression variation and interaction degree is, conversely, caused by the positive correlation between interaction degree and toxicity degree.

If fitness pleiotropy can be completely explained by gene expression variation, a direct relationship between gene expression variation and fitness pleiotropy could be inferred.

These findings also suggest that the negative correlation between gene expression variation and fitness pleiotropy is not strong and cannot describe some groups of genes.

Due to technical limitations of the Illumina WG6 expression arrays used by Stranger et al., there is a correlation between detectable expression variation and total expression strength (Figure 2A) for genes with low overall expression.