With enormous numbers of variations uncovered by whole-genome sequencing, it is essential to realize that functional analysis and clinical correlations must be performed to define the true pathogenic effect of DNA variations (Ni & Eng 2011).
With enormous numbers of variations uncovered by whole genome sequencing, it is essential to realize that functional analysis and clinical correlations must be performed to define the true pathogenic effect of DNA variations (24), as we have done in the current study.
Though there are many sites of DNA variation along the 1.7 million-unit stretch, all had about the same strength of association with the disease.
Immortalized beta-lymphocyte cell lines are not the most proximal tissue for examining the atherosclerotic process, however, they provide an efficient and robust way to examine the effects of DNA sequence variation on variation in gene expression since the environmental conditions of the cells are the same across individuals (i.e. environmental variation is minimized).
Novel biology remains to be discovered in relation to the effects of inherited DNA variation on human phenotypic diversity in general and metabolic traits in particular.
The rationale for this window size was to ensure inclusion of regulatory SNPs [ 13] that are expected to play an important role in gene-gene interactions due to effects of DNA sequence variation on transcriptional networks [ 14].
Since all cells from an individual have the same DNA sequence variations, levels of gene expression in immortalized cell lines can reflect the functional effects of DNA sequence variations that influence or regulate gene expression.
* Claim 7 tries to couch the findings in a mechanistic setting, claiming that TF levels modulate the effect of DNA sequence variation.
In addition to the DNA sequences, the 1,000 Genomes Project has stored cell samples from all the people it has sequenced, to allow future scientific projects to look at the biological effect of the DNA variations they might want to study.
After decades of efforts, a number of in silico prediction tools have been developed to assess the effect of DNA sequence variations on splicing.
