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Drug Addiction and Rehabilitation Therapy
2021-11-12 - 2021-11-13    
All Day
Conference Series LLC Ltd is delighted to invite the Scientists, Physiotherapists, neurologists, Doctors, researchers & experts from the arena of Drug Addiction and Rehabilitation therapy, [...]
Drug Addiction and Rehabilitation Therapy
2021-11-12 - 2021-11-13    
All Day
This Rehabilitation 2021 Conference is based on the theme “Exploring latest Innovations in Drug Addiction and Rehabilitation”. Rehabilitation 2021, Singapore welcomes proposals and ideas from [...]
3D Printing and Additive Manufacturing
2021-11-15 - 2021-11-16    
All Day
DLP (Digital Light Processing) is a similar process to stereolithography in that it is a 3D printing process that works with photopolymers. The major difference [...]
Microfluidics and Bio-MEMS 2021
2021-11-16 - 2021-11-17    
All Day
Lab-on-a-chip (LOC) devices integrate and scale down laboratory functions and processes to a miniaturized chip format. Many LOC devices are used in a wide array [...]
Food Technology & Processing
2021-12-01 - 2021-12-02    
All Day
Food Technology 2021 scientific committee feels esteemed delight to invite participants from around the world to join us at 25th International Conference on Food Technology [...]
Events on 2021-11-15
Events on 2021-11-16
Events on 2021-12-01
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