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DEVICE TALKS
DEVICE TALKS BOSTON 2018: BIGGER AND BETTER THAN EVER! Join us Oct. 8-10 for the 7th annual DeviceTalks Boston, back in the city where it [...]
6th Annual HealthIMPACT Midwest
2018-10-10    
All Day
REV1 VENTURES COLUMBUS, OH The Provider-Patient Experience Summit - Disrupting Delivery without Disrupting Care HealthIMPACT Midwest is focused on technologies impacting clinician satisfaction and performance. [...]
15 Oct
2018-10-15 - 2018-10-16    
All Day
Conference Series Ltd invites all the participants from all over the world to attend “3rd International Conference on Environmental Health” during October 15-16, 2018 in Warsaw, Poland which includes prompt keynote [...]
17 Oct
2018-10-17 - 2018-10-19    
7:00 am - 6:00 pm
BALANCING TECHNOLOGY AND THE HUMAN ELEMENT In an era when digital technologies enable individuals to track health statistics such as daily activity and vital signs, [...]
Epigenetics Congress 2018
2018-10-25 - 2018-10-26    
All Day
Conference: 5th World Congress on Epigenetics and Chromosome Date: October 25-26, 2018 Place: Istanbul, Turkey Email: epigeneticscongress@gmail.com About Conference: Epigenetics congress 2018 invites all the [...]
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Epigenetics Congress 2018
25 Oct 18
Istanbul
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