Abstract
Understanding the genetic relationships between human disorders could lead to better treatment and prevention strategies, especially for individuals with multiple comorbidities. A common resource for studying genetic-disease relationships is the GWAS Catalog, a large and well curated repository of SNP-trait associations from various studies and populations. Some of these populations are contained within mega-biobanks such as the Million Veteran Program (MVP), which has enabled the genetic classification of several diseases in a large well-characterized and heterogeneous population. Here we aim to provide a network of the genetic relationships among diseases and to demonstrate the utility of quantifying the extent to which a given resource such as MVP has contributed to the discovery of such relations. We use a network-based approach to evaluate shared variants among thousands of traits in the GWAS Catalog repository. Our results indicate many more novel disease relationships that did not exist in early studies and demonstrate that the network can reveal clusters of diseases mechanistically related. Finally, we show novel disease connections that emerge when MVP data is included, highlighting methodology that can be used to indicate the contributions of a given biobank.
Original language | English |
---|---|
Article number | 14914 |
Journal | Scientific Reports |
Volume | 12 |
Issue number | 1 |
DOIs | |
State | Published - Dec 2022 |
Funding
The project was supported by Department of Veterans Affairs, Office of Research and Development, Million Veteran Program Core (#MVP000; https://www.research.va.gov/ ). This manuscript has been in part co-authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy, and under a joint program (MVP CHAMPION), between the U.S. Department of Energy (DOE), and the U.S. Department of Veterans Affairs (VA).
Funders | Funder number |
---|---|
Million Veteran Program Core | 000 |
U.S. Department of Energy | |
U.S. Department of Veterans Affairs | |
Office of Research and Development | |
UT-Battelle | DE-AC05-00OR22725 |