deCODE Launches a DNA-based Test for Assessing risk of Prostate Cancer
News Feb 11, 2008
deCODE genetics has announced the launch of deCODE PrCa™, a reference laboratory test for common, single-letter variations in the human genome (SNPs) that the company has associated with increased risk of prostate cancer. deCODE believes the test will be useful for better predicting risk of prostate cancer, helping to optimize both screening and treatment.
deCODE PrCa™ detects a total of six previously discovered SNPs that have been confirmed in many populations, as well as two SNPs on chromosomes X and 2 that are reported by deCODE scientists in a paper published in the online edition of Nature Genetics.
Although most of the variants individually confer moderate risk, they are common and some are linked to more than less aggressive disease. Consequently, a substantial proportion of men have many risk variants that together confer clinically significant risk. Because of these variants, 10% of men are at twice the risk and 1% of men are at three times the risk of the disease in the general population.
"Through deCODE PrCa™, we are bringing together in one tool all of the major genetic risk factors for prostate cancer that we have discovered over the past eighteen months. We believe that this is a test with significant clinical utility for improving and personalizing the screening and treatment of one of the most common cancers. At the same time, we will integrate today’s discovery into the prostate cancer module in our personal genome analysis service deCODEme™, enabling our subscribers to stay abreast of how the latest discoveries in human genetics may relate to their genome,” said Kari Stefansson, CEO of deCODE.
Unlike most cells in the rest of our body, the DNA (the genome) in each of our brain cells varies from cell to cell, caused by somatic changes. But much remains unknown, including when these changes arise, their size and locations, and whether they are random or regulated. Now, researchers have developed new techniques allowing the detection of CNVs smaller than one million base pairs.