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12:00 AM - Hepatology 2021
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World Nanotechnology Congress 2021
2021-03-29    
All Day
Nano Technology Congress 2021 provides you with a unique opportunity to meet up with peers from both academic circle and industries level belonging to Recent [...]
Nanomedicine and Nanomaterials 2021
2021-03-29    
All Day
NanoMed 2021 conference provides the best platform of networking and connectivity with scientist, YRF (Young Research Forum) & delegates who are active in the field [...]
Smart Materials and Nanotechnology
2021-03-29 - 2021-03-30    
All Day
Smart Material 2021 clears a stage to globalize the examination by introducing an exchange amongst ventures and scholarly associations and information exchange from research to [...]
Hepatology 2021
2021-03-30 - 2021-03-31    
All Day
Hepatology 2021 provides a great platform by gathering eminent professors, Researchers, Students and delegates to exchange new ideas. The conference will cover a wide range [...]
Annual Congress on  Dental Medicine and Orthodontics
2021-04-05 - 2021-04-06    
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Dentistry Medicine 2021 is a perfect opportunity intended for International well-being Dental and Oral experts too. The conference welcomes members from every driving university, clinical [...]
World Climate Congress & Expo 2021
2021-04-06 - 2021-04-07    
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Climatology is the study of the atmosphere and weather patterns over time. This field of science focuses on recording and analyzing weather patterns throughout the [...]
European Food Chemistry and Drug Safety Congress
2021-04-12 - 2021-04-13    
All Day
We invite you to meet us at the Food Chemistry Congress 2021, where we will ensure that you’ll have a worthwhile experience with scholars of [...]
Proteomics, Genomics & Bioinformatics
2021-04-12 - 2021-04-13    
All Day
Proteomics 2021 is one of the front platforms for disseminating latest research results and techniques in Proteomics Research, Mass spectrometry, Bioinformatics, Computational Biology, Biochemistry and [...]
Plant Science & Physiology
2021-04-17 - 2021-04-18    
All Day
The PLANT PHYSIOLOGY 2021 theme has broad interests, which address many aspects of Plant Biology, Plant Science, Plant Physiology, Plant Biotechnology, and Plant Pathology. Research [...]
Pollution Control & Sustainable 2021
2021-04-26 - 2021-04-27    
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Pollution Control 2021 conference is organizing with the theme of “Accelerating Innovations for Environmental Sustainability” Conference Series llc LTD organizes environmental conferences series 1000+ Global [...]
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Hepatology 2021
30 Mar 21
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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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