Key result
Genomic analysis using high-throughput technologies has identified new genes of cardiovascular interest and unexpected expression patterns correlating with models of cardiovascular pathogenesis.
Meta-Analysis
Genomic analysis technologies have significant potential in cardiovascular research, revealing new genes and expression patterns relevant to disease pathogenesis.
Should not yet change clinical practice; leaves open validation of these genes as cardiovascular biomarkers or targets.
OBJECTIVE: To evaluate the opportunities afforded cardiovascular medicine by the comprehensive and integrative approaches of genomics in cellular physiology. We present a meta-analysis of recently reported results obtained by means of high-throughput technologies (complementary DNA and oligonucleotide arrays, serial analysis of gene expression [SAGE]), as well as more traditional molecular biology approaches (real-time polymerase chain reaction, differential display, and others). DATA SOURCES: Newly published articles identified on PubMed and additional data provided by authors on-line (where available). CONCLUSIONS: The impact of genomic analysis on cardiovascular research is already visible. New genes of cardiovascular interest have been discovered, while a number of known genes have been found to be changed in unexpected contexts. The patterns in the variation of expression of many genes correlate well with the models currently used to explain the pathogenesis of cardiovascular diseases. Much more work has yet to be done, however, for the full exploitation of the immense informative potential still dormant in the genomic technologies.
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Moldovan et al. (2002) conducted a meta-analysis in Cardiovascular diseases. Genomic analysis was evaluated. Genomic analysis using high-throughput technologies has identified new genes of cardiovascular interest and unexpected expression patterns correlating with models of cardiovascular pathogenesis.
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