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“The” international event in Healthcare Social Media, Mobile Apps, & Web 2.0
2015-06-04 - 2015-06-05    
All Day
What is Doctors 2.0™ & You? The fifth edition of the must-attend annual healthcare social media conference will take place in Paris;  it is the [...]
5th International Conference and Exhibition on Occupational Health & Safety
2015-06-06 - 2015-07-07    
All Day
Occupational Health 2016 welcomes attendees, presenters, and exhibitors from all over the world to Toronto, Canada. We are delighted to invite you all to attend [...]
National Healthcare Innovation Summit 2015
2015-06-15 - 2015-06-17    
All Day
The Leading Forum on Fast-Tracking Transformation to Achieve the Triple Aim Innovative leaders from across the health sector shared proven and real-world approaches, first-hand experiences [...]
Health IT Summit in Washington, DC
2015-06-16 - 2015-06-17    
All Day
The 2014 iHT2 Health IT Summit in Washington DC will bring together over 200 C-level, physician, practice management and IT decision-makers from North America's leading provider organizations and [...]
Events on 2015-06-15
Events on 2015-06-16
Health IT Summit in Washington, DC
16 Jun 15
Washington DC
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