WHATIF: An open-source desktop application for extraction and management of the incidental findings from next-generation sequencing variant data. (1st January 2016)
- Record Type:
- Journal Article
- Title:
- WHATIF: An open-source desktop application for extraction and management of the incidental findings from next-generation sequencing variant data. (1st January 2016)
- Main Title:
- WHATIF: An open-source desktop application for extraction and management of the incidental findings from next-generation sequencing variant data
- Authors:
- Ye, Zhan
Kadolph, Christopher
Strenn, Robert
Wall, Daniel
McPherson, Elizabeth
Lin, Simon - Abstract:
- Abstract: Background: Identification and evaluation of incidental findings in patients following whole exome (WGS) or whole genome sequencing (WGS) is challenging for both practicing physicians and researchers. The American College of Medical Genetics and Genomics (ACMG) recently recommended a list of reportable incidental genetic findings. However, no informatics tools are currently available to support evaluation of incidental findings in next-generation sequencing data. Methods: The Wisconsin Hierarchical Analysis Tool for Incidental Findings (WHATIF), was developed as a stand-alone Windows-based desktop executable, to support the interactive analysis of incidental findings in the context of the ACMG recommendations. WHATIF integrates the European Bioinformatics Institute Variant Effect Predictor (VEP) tool for biological interpretation and the National Center for Biotechnology Information ClinVar tool for clinical interpretation. Results: An open-source desktop program was created to annotate incidental findings and present the results with a user-friendly interface. Further, a meaningful index (WHATIF Index) was devised for each gene to facilitate ranking of the relative importance of the variants and estimate the potential workload associated with further evaluation of the variants. Our WHATIF application is available at:http://tinyurl.com/WHATIF-SOFTWARE Conclusions: The WHATIF application offers a user-friendly interface and allows users to investigate the extractedAbstract: Background: Identification and evaluation of incidental findings in patients following whole exome (WGS) or whole genome sequencing (WGS) is challenging for both practicing physicians and researchers. The American College of Medical Genetics and Genomics (ACMG) recently recommended a list of reportable incidental genetic findings. However, no informatics tools are currently available to support evaluation of incidental findings in next-generation sequencing data. Methods: The Wisconsin Hierarchical Analysis Tool for Incidental Findings (WHATIF), was developed as a stand-alone Windows-based desktop executable, to support the interactive analysis of incidental findings in the context of the ACMG recommendations. WHATIF integrates the European Bioinformatics Institute Variant Effect Predictor (VEP) tool for biological interpretation and the National Center for Biotechnology Information ClinVar tool for clinical interpretation. Results: An open-source desktop program was created to annotate incidental findings and present the results with a user-friendly interface. Further, a meaningful index (WHATIF Index) was devised for each gene to facilitate ranking of the relative importance of the variants and estimate the potential workload associated with further evaluation of the variants. Our WHATIF application is available at:http://tinyurl.com/WHATIF-SOFTWARE Conclusions: The WHATIF application offers a user-friendly interface and allows users to investigate the extracted variant information efficiently and intuitively while always accessing the up to date information on variants via application programming interfaces (API) connections. WHATIF׳s highly flexible design and straightforward implementation aids users in customizing the source code to meet their own special needs. Highlights: WHATIF is self-explanatory and accesses the most updated variation information. WHATIF offers user-friendly interface and efficient ways to investigate variation. WHATIF׳s design and implementation is highly flexible and allows for customization. … (more)
- Is Part Of:
- Computers in biology and medicine. Volume 68(2016)
- Journal:
- Computers in biology and medicine
- Issue:
- Volume 68(2016)
- Issue Display:
- Volume 68, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 68
- Issue:
- 2016
- Issue Sort Value:
- 2016-0068-2016-0000
- Page Start:
- 165
- Page End:
- 169
- Publication Date:
- 2016-01-01
- Subjects:
- Genomics -- Internet -- Sequencing -- Software
Medicine -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00104825/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiomed.2015.03.028 ↗
- Languages:
- English
- ISSNs:
- 0010-4825
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1949.xml