Presentations at AHA expand on clinical utility of deCODE's DNA-b...( Several presentations by deCODE gene...),Health

Several presentations by deCODE genetics (Nasdaq:DCGN) scientists and independent researchers at the American Heart Association Scientific Sessions 2008 being held at the New Orleans Convention Center from November 8 to12 are expected to expand upon the clinical utility of evaluating individual risk of heart attack, or atrial fibrillation and stroke, respectively, by measuring the genetic markers that are the basis of the deCODE MI and deCODE AF tests. These tests measure single-letter variations in the human genome (SNPs) on chromosomes 9p21 and 4q25 that deCODE has linked to increased risk of these cardiovascular conditions, enabling a better understanding of individual risk. As this information is independent of other conventional risk factors, these tests provide doctors in the clinic with a new tool for improving screening, prevention and treatment.

Important avenues for expanding the clinical utility of the deCODE tests to be discussed at the AHA meeting are summarized below. To assist those interested in learning more about deCODE's tests while onsite at AHA or to follow proceedings on the AHA Web site, www.americanheart.org, deCODE would like to note below the titles, time, date and locations listed. The full abstracts and contents of these talks are strictly embargoed for public dissemination until their time of presentation, as noted per AHA guidelines.

Myocardial infarction and 9p21 risk variants:

Several presentations focus on the 9p21 genetic risk markers for myocardial infarction (MI) that deCODE first reported in 2007 and which form the basis of the deCODE MI test for assessing individual risk as an aid in clinical practice. Individuals who have the at-risk versions of the SNPs detected by this test are 1.6- to 2-fold more likely to develop MI than are those with lowest risk genotypes, or at 1.3- to 1.5-fold higher risk than the general population. This level of risk is comparable to the risk due to highest qui
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