Consortium to Identify Genetic Markers that Predict Drug-related Serious Adverse Events

The International Serious Adverse Events Consortium (SAEC) officially announced its formation this morning. The new global, non-profit partnership between leading pharmaceutical companies, pharmacogeneticsthe U.S. Food and Drug Administration (FDA), and academic institutions plans to identify and validate genetic markers that may help predict which individuals are at risk for serious adverse drug events. The goal of the consortium is to publish a set of predictive SNPs for all drug-related serious adverse events (SAEs), reducing significant patient and economic costs as well as improving the flow of safe and effective medical advances by addressing safety issues of new drugs before they reach the market.

Health Highlights – June 1st, 2007

Health Highlights is a biweekly summary of particularly interesting articles from credible sources of health and medical information that we follow & read. For a complete list of recommeded sources, see our links page.

Health Highlights

2007: The Year of the Personalized Genomics

George Weinstock, co-director of the Human Genome Sequencing Center at Baylor College of Medicine, wrote a short, interesting article posted to MIT’s Tech Review, contemplating whether this year may be remembered as the year of the personalized genome.

In April, two companies, 454 Life Sciences and Illumina, announced plans to sequence individual human genomes. While genotyping tests have been used for decades to sequence single genes, DNA sequencing has never been done on the entire genome of a single person.

Web 3.0 and Predictive, Preventive and Personalized Medicine

Since January, Berci Mesko over at Scienceroll has been writing about how Web 2.0 is changing medicine. He’s written a number of interesting articles, including Medical wikis: the future of medicine? and Medical Web 2.0 Sites.

In Web 3.0 and medicine, Berci writes about WikiProteins, a new site that plans to use Web 3.0 technologies to incorporate real time community annotation into a semantic framework. The article Meet the uber-wiki is a great review of the up-and-coming resource.