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PLCOjs, a FAIR GWAS web SDK for the NCI Prostate, Lung, Colorectal and Ovarian Cancer Genetic Atlas project

Authors :
Eric Ruan
Erika Nemeth
Richard Moffitt
Lorena Sandoval
Mitchell J Machiela
Neal D Freedman
Wen-Yi Huang
Wendy Wong
Kai-Ling Chen
Brian Park
Kevin Jiang
Belynda Hicks
Jia Liu
Daniel Russ
Lori Minasian
Paul Pinsky
Stephen J Chanock
Montserrat Garcia-Closas
Jonas S Almeida
Source :
Bioinformatics
Publication Year :
2022
Publisher :
Oxford University Press (OUP), 2022.

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

Details

ISSN :
13674811 and 13674803
Volume :
38
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....14a5f2d66828ab6020630311654aa247
Full Text :
https://doi.org/10.1093/bioinformatics/btac531