AI Article Synopsis
- - The National Cancer Institute's DCEG and DCP developed GWAS data from 110,000 participants in the PLCO Genomic Atlas project, aiming to share this data through a portal called GWAS Explorer, meeting data scientists' and engineers' needs for fair data access.
- - The PLCO GWAS Explorer uses a stateless API for its backend, allowing users to access the data through a web application and integrate with other analytical tools without installation.
- - The core of the project includes the PLCOjs SDK, which links to the API and provides various visualization methods; the project's code and resources are available on GitHub.
Article Abstract
Motivation: The Division of Cancer Epidemiology and Genetics (DCEG) and the Division of Cancer Prevention (DCP) at the National Cancer Institute (NCI) have recently generated genome-wide association study (GWAS) data for multiple traits in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Genomic Atlas project. The GWAS included 110 000 participants. The dissemination of the genetic association data through a data portal called GWAS Explorer, in a manner that addresses the modern expectations of FAIR reusability by data scientists and engineers, is the main motivation for the development of the open-source JavaScript software development kit (SDK) reported here.
Results: The PLCO GWAS Explorer resource relies on a public stateless HTTP application programming interface (API) deployed as the sole backend service for both the landing page's web application and third-party analytical workflows. The core PLCOjs SDK is mapped to each of the API methods, and also to each of the reference graphic visualizations in the GWAS Explorer. A few additional visualization methods extend it. As is the norm with web SDKs, no download or installation is needed and modularization supports targeted code injection for web applications, reactive notebooks (Observable) and node-based web services.
Availability And Implementation: code at https://github.com/episphere/plco; project page at https://episphere.github.io/plco.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890300 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btac531 | DOI Listing |
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