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02 Apr
2014-04-02    
All Day
Conference Link: http://www.nhlc-cnls.ca/default1.asp Conference Contact: Cindy MacBride at 1-800-363-9056 ext. 213, or cmacbride@cchl-ccls.ca Register: http://www.confmanager.com/main.cfm?cid=2725 Hotel: Location: Fairmont Banff Springs Hotel 405 Spray Ave Banff, [...]
HIMSS 15 Annual Conference & Exhibition
2014-04-12    
All Day
HIMSS15 may be months away, but the excitement is here...right now. It's not too early to start making plans for next April. Whether you're new [...]
2015 HIMSS Annual Conference & Exhibition
2014-04-12 - 2014-04-16    
All Day
The 2015 HIMSS Annual Conference & Exhibition, April 12-16 in Chicago, brings together 38,000+ healthcare IT professionals, clinicians, executives and vendors from around the world. [...]
IVC Miami Conference
The International Vein Congress is the premier professional meeting for vein specialists. IVC, based in Miami, FL, offers renowned, comprehensive education for both veterans and [...]
C.D. Howe Institute Roundtable Luncheon
2014-04-28    
12:00 pm - 1:30 pm
Navigating the Healthcare System: The Patient’s Perspective Please join us for this Roundtable Luncheon at the C.D. Howe Institute with Richard Alvarez, Chief Executive Officer, [...]
Events on 2014-04-02
Events on 2014-04-12
Events on 2014-04-24
IVC Miami Conference
24 Apr 14
FL
Events on 2014-04-28
research papers

Researchers repurpose genetic data, EMR to perform large-scale PheWAS study

genetic data

Vanderbilt University Medical Center researchers and co-authors from four other U.S. institutions from the Electronic Medical Records and Genomics (eMERGE) Network are repurposing genetic data and electronic medical records to perform the first large-scale phenome-wide association study (PheWAS), released today in Nature Biotechnology.

Traditional genetic studies start with one phenotype and look at one or many genotypes, PheWAS does the inverse by looking at many diseases for one genetic variant or genotype.

“This study broadly shows that we can take decades of off-the-shelf electronic medical record data, link them to DNA, and quickly validate known associations across hundreds of previous studies,” said lead author Josh Denny, M.D., M.S., Vanderbilt Associate Professor of Biomedical Informatics and Medicine. “And, at the same time, we can discover many new associations.

“A third important finding is that our method does not select any particular disease – it is searches simultaneously for more than a thousand diseases that bring one to the doctor. By doing this, we were able to show some genes that are associated several diseases or traits, while others are not,” he added.

Researchers used genotype data from 13,835 individuals of European descent, exhibiting 1,358 diseases collectively. The team then ran PheWAS on 3,144 single-nucleotide polymorphisms (SNP’s), checking each SNP’s association with each of the 1,358 disease phenotypes.

As a result, study authors reported 63 previously unknown SNP-disease associations, the strongest of which related to skin diseases.

“The key result is that the method works,” Denny said. “This is a robust test of PheWAS across all domains of disease, showing that you can see all types of phenotypes in the electronic medical record – cancers, diabetes, heart diseases, brain diseases, etc. – and replicate what’s known about their associations with various SNPs.”

An online PheWAS catalog spawned by the study may help investigators understand the influence of many common genetic variants on human conditions.

source