| Literature DB >> 25133172 |
Peter A Fasching1, Gottfried E Konecny2, Amanda B Spurdle3.
Abstract
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Year: 2014 PMID: 25133172 PMCID: PMC4120780 DOI: 10.1155/2014/602340
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Different levels of biomarker research and application.
| Analysis | Purpose |
|---|---|
| Methylation | Methylation analysis can reveal disease specific patterns of gene regulation. |
| Mutation analysis | Mutation analysis of affected tissues has been shown to be helpful in characterization of tumors and rare diseases. |
| Copy number variation | Copy number variation has been shown to be helpful in explaining tumor subtypes and identifying fetal chromosomal anomalies. |
| Chromosomal rearrangements | Chromosomal rearrangements are thought to explain new genomic effects seen in some tumors. |
| Genetic variation | Many diseases have been described to be partially caused by genetic variation. For many gynecologic diseases risk loci with high and low penetrance have been identified. |
| RNA expression | RNA expression of normal and diseased tissues has long been used to identify biomarkers for disease stage and prediction of therapies. |
| Proteomics | Modifications of proteins can be meaningful for their function and reveal additional functional information that supplements analysis of gene expression at the RNA level. |
| miRNA profiles | The number of small regulatory RNA sequences is growing and miRNAs are now understood as regulators for up to several hundreds of genes at once. |