Skip to main content
Premium Trial:

Request an Annual Quote

SAEC Releases Genetic Data Related to Drug-Induced Liver Injury, Serious Skin Reactions


By Turna Ray

The International Serious Adverse Events Consortium this week released genetic data on drug-induced liver injury and serious skin reactions, its third data release since the public-private collaboration launched three years ago.

SAEC is a non-profit consortium formed in October 2007 between industry, academia, the Wellcome Trust, and the US Food and Drug Administration to identify genetic variants associated with serious adverse events [see PGx Reporter 06-03-2009].

The new data, relating to 368 cases of drug-induced liver injury and 15 cases of serious skin reactions, expand on data that SAEC released in December 2008 and May 2009.

“FDA is pleased with the Consortium's progress,” ShaAvhree Buckman, director of the Office of Translational Sciences in the FDA’s Center for Drug Evaluation and Research, said in a statement announcing the data release. “The continued accumulation of scientific information on the genetic basis of adverse drug events provides researchers with invaluable tools for understanding why some people respond to medicines differently than others."

Researchers who enter into a data use agreement with the SAEC can obtain free access to the newly released data from the non-profit's website, generate custom data inquiries, and receive immediate results.

The Scan

Breast Cancer Risk Related to Pathogenic BRCA1 Mutation May Be Modified by Repeats

Several variable number tandem repeats appear to impact breast cancer risk and age at diagnosis in almost 350 individuals carrying a risky Ashkenazi Jewish BRCA1 founder mutation.

Study Explores Animated Digital Message Approach to Communicate Genetic Test Results to Family Members

In the Journal of Genetic Counseling, the approach showed promise in participants presented with a hypothetical scenario related to a familial hereditary breast and ovarian cancer syndrome diagnosis.

Computational Tool Predicts Mammalian Messenger RNA Degradation Rates

A tool called Saluki, trained with mouse and human messenger RNA data, appears to improve mRNA half-life predictions by taking RNA and genetic features into account, a Genome Biology paper reports.

UK Pilot Study Suggests Digital Pathway May Expand BRCA Testing in Breast Cancer

A randomized pilot study in the Journal of Medical Genetics points to similar outcomes for breast cancer patients receiving germline BRCA testing through fully digital or partially digital testing pathways.