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Health IT Summit in San Francisco
2015-03-03 - 2015-03-04    
All Day
iHT2 [eye-h-tee-squared]: 1. an awe-inspiring summit featuring some of the world.s best and brightest. 2. great food for thought that will leave you begging for more. 3. [...]
How to Get Paid for the New Chronic Care Management Code
2015-03-10    
1:00 am - 10:00 am
Under a new chronic care management program authorized by CMS and taking effect in 2015, you can bill for care that you are probably already [...]
The 12th Annual World Health Care  Congress & Exhibition
2015-03-22 - 2015-03-25    
All Day
The 12th Annual World Health Care Congress convenes decision makers from all sectors of health care to catalyze change. In 2015, faculty focus on critical challenges and [...]
ICD-10 Success: How to Get There From Here
2015-03-24    
1:00 pm
Tuesday, March 24, 2015 1:00 PM Eastern / 10:00 AM Pacific Make sure your practice is ready for ICD-10 coding with this complimentary overview of [...]
Customer Analytics & Engagement in Health Insurance
2015-03-25 - 2015-03-26    
All Day
Takeaway business ROI: Drive business value with customer analytics: learn what every business person needs to know about analytics to improve your customer base Debate key customer [...]
How to survive a HIPPA Audit
2015-03-25    
2:00 pm - 3:30 pm
Wednesday, March 25th from 2:00 – 3:30 EST If you were audited for HIPAA compliance tomorrow, would you be prepared? The question is not so hypothetical, [...]
Events on 2015-03-03
Health IT Summit in San Francisco
3 Mar 15
San Francisco
Events on 2015-03-10
Events on 2015-03-22
Events on 2015-03-24
Events on 2015-03-25
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