GWAS and microarray analyses both allow unbiased identification of candidate genes and pathways associated with cancer development.
To date few studies have exploited a truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [21], [22], [23] and there has only been one previous study of a smaller cohort of ovarian tumours [12].
Phenotype-based screens provide unbiased identification of candidate genetic pathways.
A photograph will enable automatic digital phenotyping, and its placement in Clinical Face Phenotype Space will provide an unbiased list of candidate clinical hypotheses (exemplified in Figure 6).
We believe that when conducting an analysis of this kind, the knowledge of established arthritis-associated genes and of the field as a whole, may inadvertently interfere with an unbiased selection of candidate genes.
This is in contrast to results presented by others, but we believe that the automatic ranking procedure of the CGC application provides a more unbiased selection of candidate genes, which in turn render a more reliable estimation of gene distribution.
Using a variety of genetic animal models, the identification of regions of chromosomal DNA that contain a gene or genes which affect a complex phenotype (i.e., quantitative trait loci [QTLs]) has allowed unbiased searches for candidate genes.
Although, genome-wide studies, such as genetic linkage, association and expression, have allowed unbiased identification of candidate genes and pathways associated with AD development and progression, susceptibility loci or genes for AD with clinical significance have not yet been reported.
Furthermore, we showed that overlaying the transcriptome data with the refined genetic architecture of the trait and cross-referencing that with the gene expression network data in skeletal muscle yielded an unbiased list of candidate genes which might affect muscle mass.
Advances in cell-based high-throughput compound screening have made it possible to profile the cellular activity of an extensive collection of bioactive small molecules, thereby enabling a functional phenotype-based approach to unbiased identification of candidate compounds for individual cancer patients (Pemovska et al., 2013, 2015; Tyner et al., 2013).
