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2015 HIMSS Annual Conference & Exhibition
2015-04-12 - 2015-04-16    
All Day
General Conference Information The 2015 HIMSS Annual Conference & Exhibition, April 12-16 in Chicago, brings together 38,000+ healthcare IT professionals, clinicians, executives and vendors from [...]
2015 CONVENTION - THE MEDICAL PROFESSION: TIME FOR A NEW SOCIAL CONTRACT
The 17th QMA's convention will be held April 16-18, 2015. The Québec Medical Association (QMA) invites you to share your opinion on the theme La profession médicale : vers un nouveau [...]
HCCA's 19th Annual Compliance Institute
2015-04-19 - 2015-04-22    
All Day
April 19-22, 2015 Lake Buena Vista, FL Early Bird Rates end January 7th The Annual Compliance Institute is HCCA’s largest event. Over the course of [...]
AAOE Annual Conference 2015
2015-04-25 - 2015-04-28    
All Day
AAOE Annual Conference 2015 The AAOE is the only professional association strictly dedicated to orthopaedic practice management. Currently, our membership has over 1,300 members in [...]
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, [...]
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AAOE Annual Conference 2015
25 Apr 15
Chicago, IL 60605
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