New deCODE analytical tool multiplies power to discover rare genetic risk factors for common diseases
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On Sunday, August 17, deCODE published a new statistical method for increasing the information that can be derived from high-density genotyping, leveraging the genotypic data the company has already generated
on tens of thousands of participants in its gene discovery programs. In the above video, CEO Kari Stefansson, the company’s head statistician Augustine Kong, and Chief of Communications Edward Farmer talk about how this method works and why it may help deCODE to find rarer variants conferring risk of common diseases.
Link: Read abstract in Nature Genetics
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Are there any plans to release an implementation of this method?
jules
20 Aug 08 at 9:30 am
Most certainly. We plan to apply this methodolgy in our discovery work. We believe that this may be particularly useful for discovering rare variants conferring risk of common diseases, a challenge that we hope to meet in order to extend the range and power of our diagnostics portfolio and continue our global leadership in gene discovery.
Edward Farmer
Edward Farmer
22 Aug 08 at 5:29 pm
Many Thanks for presentation about new tool. Is possible to use the tool in cooperation with you for analysis of Affymetrix SNPs data from schizophrenia pedigrees collected in ethnically diverse genetic isolates?
Kazima
23 Sep 08 at 5:27 am
What is the genetic geneological or ancestry determination application for this method? Will it be implemented for deCODEme customers?
Anders
2 Dec 08 at 12:34 pm