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63rd ACOG ANNUAL MEETING - Annual Clinical and Scientific Meeting
2015-05-02 - 2015-05-06    
All Day
The 2015 Annual Meeting: Something for Every Ob-Gyn The New Year is a time for change! ACOG’s 2015 Annual Clinical and Scientific Meeting, May 2–6, [...]
Third Annual Medical Informatics World Conference 2015
2015-05-04 - 2015-05-05    
All Day
About the Conference Held each year in Boston, Medical Informatics World connects more than 400 healthcare, biomedical science, health informatics, and IT leaders to navigate [...]
Health IT Marketing &PR Conference
2015-05-07 - 2015-05-08    
All Day
The Health IT Marketing and PR Conference (HITMC) is organized by HealthcareScene.com and InfluentialNetworks.com. Healthcare Scene is a network of influential Healthcare IT blogs and health IT career [...]
Becker's Hospital Review 6th Annual Meeting
2015-05-07 - 2015-05-09    
All Day
This ​exclusive ​conference ​brings ​together ​hospital ​business ​and ​strategy ​leaders ​to ​discuss ​how ​to ​improve ​your ​hospital ​and ​its ​bottom ​line ​in ​these ​challenging ​but ​opportunity-filled ​times. The ​best ​minds ​in ​the ​hospital ​field ​will ​discuss ​opportunities ​for ​hospitals ​plus ​provide ​practical ​and ​immediately ​useful ​guidance ​on ​ACOs, ​physician-hospital ​integration, ​improving ​profitability ​and ​key ​specialties. Cancellation ​Policy: ​Written ​cancellation ​requests ​must ​be ​received ​within ​120 ​days ​of ​transaction ​or ​by ​March ​1, ​2015, ​whichever ​is ​first. ​ ​Refunds ​are ​subject ​to ​a ​$100 ​processing ​fee. ​Refunds ​will ​not ​be ​made ​after ​this ​date. Click Here to Register
Big Data & Analytics in Healthcare Summit
2015-05-13 - 2015-05-14    
All Day
Big Data & Analytics in Healthcare Summit "Improve Outcomes with Big Data" May 13–14 Philadelphia, 2015 Why Attend This Summit will bring together healthcare executives [...]
iHT2 Health IT Summit in Boston
2015-05-19 - 2015-05-20    
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. [...]
2015 Convergence Summit
2015-05-26 - 2015-05-28    
All Day
The Convergence Summit is WLSA’s annual flagship event where healthcare, technology and wireless health communication leaders tackle key issues facing the connected health community. WLSA designs [...]
eHealth 2015: Making Connections
2015-05-31    
All Day
e-Health 2015: Making Connections Canada's ONLY National e-Health Conference and Tradeshow WE LOOK FORWARD TO SEEING YOU IN TORONTO! Hotel accommodation The e-Health 2015 Organizing [...]
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2015 Convergence Summit
26 May 15
San Diego
Events on 2015-05-31
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.

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