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Is there a niche for DNA microarrays in molecular diagnostics?
1Marseille-Nice Genopole, Case 906, Luminy Science Park, 13288 Marseille Cedex 9, France. bertrand.jordan@univmed.fr
Expert Review of Molecular Diagnostics
|October 23, 2010
Summary
DNA microarrays are established in medical diagnostics for specific applications like copy-number variation analysis. However, challenges in gene expression and competition from new sequencing technologies limit their broader clinical utility.
Area of Science:
- Molecular Biology
- Medical Diagnostics
- Genomics
Background:
- DNA microarrays have been utilized in medical settings for 15 years.
- Regulatory approval has been granted for microarray-based tests in bacterial identification, mutation detection, and genome alteration assessment.
- Whole-genome copy-number variation assays represent a successful application of DNA microarray technology.
Purpose of the Study:
- To evaluate the strengths and weaknesses of DNA microarray diagnostics.
- To identify areas where DNA microarrays are likely to maintain a significant presence.
- To assess the impact of competing technologies on microarray adoption.
Main Methods:
- Review of existing DNA microarray applications in diagnostics.
- Analysis of technical and analytical challenges associated with microarray use.
- Comparison of DNA microarrays with PCR-based assays and next-generation sequencing.
Main Results:
- Gene-expression applications have faced limitations due to reproducibility, consistency, and data analysis issues.
- DNA microarrays compete with PCR for low to intermediate multiplicity targets.
- Next-generation sequencing presents a significant challenge due to its direct sequence information and decreasing costs.
Conclusions:
- DNA microarrays have a strong niche in specific diagnostic areas, particularly copy-number variation analysis.
- Clinical utility of gene-expression signatures derived from microarrays remains a challenge.
- The future of DNA microarrays in diagnostics will be shaped by their ability to overcome technical hurdles and compete with emerging sequencing technologies.
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