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Food and Beverages
2021-07-26 - 2021-07-27    
12:00 am
The conference highlights the theme “Global leading improvement in Food Technology & Beverages Production” aimed to provide an opportunity for the professionals to discuss the [...]
European Endocrinology and Diabetes Congress
2021-08-05 - 2021-08-06    
All Day
This conference is an extraordinary and leading event ardent to the science with practice of endocrinology research, which makes a perfect platform for global networking [...]
Big Data Analysis and Data Mining
2021-08-09 - 2021-08-10    
All Day
Data Mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the [...]
Agriculture & Horticulture
2021-08-16 - 2021-08-17    
All Day
Agriculture Conference invites a common platform for Deans, Directors, Professors, Students, Research scholars and other participants including CEO, Consultant, Head of Management, Economist, Project Manager [...]
Wireless and Satellite Communication
2021-08-19 - 2021-08-20    
All Day
Conference Series llc Ltd. proudly invites contributors across the globe to its World Convention on 2nd International Conference on Wireless and Satellite Communication (Wireless Conference [...]
Frontiers in Alternative & Traditional Medicine
2021-08-23 - 2021-08-24    
All Day
World Health Organization announced that, “The influx of large numbers of people to mass gathering events may give rise to specific public health risks because [...]
Agroecology and Organic farming
2021-08-26 - 2021-08-27    
All Day
Current research on emerging technologies and strategies, integrated agriculture and sustainable agriculture, crop improvements, the most recent updates in plant and soil science, agriculture and [...]
Agriculture Sciences and Farming Technology
2021-08-26 - 2021-08-27    
All Day
Current research on emerging technologies and strategies, integrated agriculture and sustainable agriculture, crop improvements, the most recent updates in plant and soil science, agriculture and [...]
CIVIL ENGINEERING, ARCHITECTURE AND STRUCTURAL MATERIALS
2021-08-27 - 2021-08-28    
All Day
Engineering is applied to the profession in which information on the numerical/mathematical and natural sciences, picked up by study, understanding, and practice, are applied to [...]
Diabetes, Obesity and Its Complications
2021-09-02 - 2021-09-03    
All Day
Diabetes Congress 2021 aims to provide a platform to share knowledge, expertise along with unparalleled networking opportunities between a large number of medical and industrial [...]
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26 Jul 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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