Omics information IDs diabetes onset in Stanford researcher

03/15/2012 | GenomeWeb Daily News (free registration)

The use of an integrative personal omics profile helped identify certain gene variants associated with type 2 diabetes, obesity and hypertension in Stanford University researcher Michael Snyder, who used himself as the subject for the study in the journal Cell. The findings, which led to a type 2 diabetes diagnosis, indicate that omics information holds great promise for personalized medicine, the researchers said.

View Full Article in:

GenomeWeb Daily News (free registration)

Published in Brief:

SmartBrief Job Listings for Health Care

Job Title Company Location
Sr Statistician I (US/TB/00/0028/SL)
Abbott
Santa Clara, CA
Food & Drug Associate
Confidential
Washington, D.C., DC
Senior Manager, Gaps in Care
UAW Retiree Medical Benefits Trust
Detroit, MI
Compliance Director
Abbott Laboratories
Santa Clara, CA
Product Development Manager, Disposable Medical Products
ASAHI INTECC, Orange County CA R&D Center
Santa Ana, CA