Back to Search Start Over

AnFiSA: An open-source computational platform for the analysis of sequencing data for rare genetic disease.

Authors :
Bouzinier MA
Etin D
Trifonov SI
Evdokimova VN
Ulitin V
Shen J
Kokorev A
Ghazani AA
Chekaluk Y
Albertyn Z
Giersch A
Morton CC
Abraamyan F
Bendapudi PK
Sunyaev S
Undiagnosed Diseases Network
Brigham Genomic Medicine
SEQuencing A Baby For An Optimal Outcome
Quantori
Krier JB
Source :
Journal of biomedical informatics [J Biomed Inform] 2022 Sep; Vol. 133, pp. 104174. Date of Electronic Publication: 2022 Aug 23.
Publication Year :
2022

Abstract

Despite genomic sequencing rapidly transforming from being a bench-side tool to a routine procedure in a hospital, there is a noticeable lack of genomic analysis software that supports both clinical and research workflows as well as crowdsourcing. Furthermore, most existing software packages are not forward-compatible in regards to supporting ever-changing diagnostic rules adopted by the genetics community. Regular updates of genomics databases pose challenges for reproducible and traceable automated genetic diagnostics tools. Lastly, most of the software tools score low on explainability amongst clinicians. We have created a fully open-source variant curation tool, AnFiSA, with the intention to invite and accept contributions from clinicians, researchers, and professional software developers. The design of AnFiSA addresses the aforementioned issues via the following architectural principles: using a multidimensional database management system (DBMS) for genomic data to address reproducibility, curated decision trees adaptable to changing clinical rules, and a crowdsourcing-friendly interface to address difficult-to-diagnose cases. We discuss how we have chosen our technology stack and describe the design and implementation of the software. Finally, we show in detail how selected workflows can be implemented using the current version of AnFiSA by a medical geneticist.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1532-0480
Volume :
133
Database :
MEDLINE
Journal :
Journal of biomedical informatics
Publication Type :
Academic Journal
Accession number :
35998814
Full Text :
https://doi.org/10.1016/j.jbi.2022.104174