Events Calendar

Mon
Tue
Wed
Thu
Fri
Sat
Sun
M
T
W
T
F
S
S
29
30
1
2
3
4
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
24
25
26
27
28
29
30
31
1
Food Safety and Health
2021-06-28 - 2021-06-29    
All Day
The main objective is to bring all the leading academic scientists, researchers and research scholars together to exchange and share their experiences and research results [...]
Food Microbiology
2021-06-28 - 2021-06-29    
All Day
This conference provide a platform to share the new ideas and advancing technologies in the field of Food Microbiology and Food Technology. The objective of [...]
Smart Robots and Artificial Intelligence 2021
2021-07-05 - 2021-07-06    
All Day
Robotics is an imperative development that is related to the well-being of all individuals. A Robot is a useful gadget, multitasking operator sketched to move [...]
World Plant and Soil Science Congress
2021-07-23 - 2021-07-24    
All Day
It’s our greatest pleasure to welcome you to the official website of 2nd World Plant and Soil Science Congress that aims at bringing together the [...]
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 [...]
Events on 2021-06-28
Events on 2021-07-05
Events on 2021-07-23
Events on 2021-07-26
Food and Beverages
26 Jul 21
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