FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease

The publication FitSNPs: Highly differentially expressed genes are more likely to have variants associated with disease, published by Atul Butte’s lab, is ranked as the 2nd most accessed article in Genome Biology in the last 30 days (as of 12/15). It was accessed 1608 times in the first week after publication.

This study demonstrates that highly differentially expressed genes are more likely to harbor disease-associated DNA variants. FitSNPs can serve as an effective tool to systematically prioritize candidate single nucleotide polymorphisms (SNPs) and genome-wide association studies. The Butte Lab is hosting a web server on the project at http://fitsnps.stanford.edu/.

The paper has been reported by more than 50 media around the world, such as Medical News Today, GenomeWeb News, Science Daily, EurekAlert, Science Centric, Genetic Research – BIO Smartbrief, Coping with Diabetes, Channel 42, and CheckOrphan, rare, orphan and neglected diseases from US, China, Korea, Japan, Spain, and other European countries.

Some representative versions of media reports are:

GenomeWeb News: http://www.genomeweb.com/issues/news/151127-1.html
Science Daily: http://www.sciencedaily.com/releases/2008/12/081205094517.htm
Ebiotrade in China: http://www.ebiotrade.com/newsf/read.asp?page=2008129170404
PhysOrg.com: http://www.physorg.com/news147698011.html
Innovations report: http://innovations-report.de/html/schlagwort/fitSNPs-1-128932.html

See the Full List of Media Reports.

See more information about the fitSNP project.

You can access this article on the Genome Biology website or on the BMIR website