Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors

Author:

Shyr Casper123,Kushniruk Andre4,van Karnebeek Clara D.M.356,Wasserman Wyeth W.137

Affiliation:

1. Centre for Molecular Medicine and Therapeutics; Child and Family Research Institute, Vancouver BC, Canada

2. Bioinformatics Graduate Program, University of British Columbia, Vancouver BC, Canada

3. Treatable Intellectual Disability Endeavour in British Columbia ( www.tidebc.org ), Vancouver, Canada

4. School of Health Information Science, University of Victoria, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada

5. Division of Biochemical Diseases, BC Children’s Hospital, Vancouver BC, Canada

6. Department of Pediatrics, University of British Columbia, Vancouver BC, Canada

7. Department of Medical Genetics, University of British Columbia, Vancouver BC, Canada

Abstract

Abstract Background The transition of whole-exome and whole-genome sequencing (WES/WGS) from the research setting to routine clinical practice remains challenging. Objectives With almost no previous research specifically assessing interface designs and functionalities of WES and WGS software tools, the authors set out to ascertain perspectives from healthcare professionals in distinct domains on optimal clinical genomics user interfaces. Methods A series of semi-scripted focus groups, structured around professional challenges encountered in clinical WES and WGS, were conducted with bioinformaticians (n = 8), clinical geneticists (n = 9), genetic counselors (n = 5), and general physicians (n = 4). Results Contrary to popular existing system designs, bioinformaticians preferred command line over graphical user interfaces for better software compatibility and customization flexibility. Clinical geneticists and genetic counselors desired an overarching interactive graphical layout to prioritize candidate variants—a “tiered” system where only functionalities relevant to the user domain are made accessible. They favored a system capable of retrieving consistent representations of external genetic information from third-party sources. To streamline collaboration and patient exchanges, the authors identified user requirements toward an automated reporting system capable of summarizing key evidence-based clinical findings among the vast array of technical details. Conclusions Successful adoption of a clinical WES/WGS system is heavily dependent on its ability to address the diverse necessities and predilections among specialists in distinct healthcare domains. Tailored software interfaces suitable for each group is likely more appropriate than the current popular “one size fits all” generic framework. This study provides interfaces for future intervention studies and software engineering opportunities.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference73 articles.

1. Clinical genetics: exomes in the clinic;Flintoft;Nat Rev Genet.,2013

2. Next-generation sequencing in the clinic: promises and challenges;Xuan;Cancer Lett.,2013

3. Genetic diagnosis by whole exome capture and massively parallel DNA sequencing;Choi;Proc Natl Acad Sci U S A,2009

4. Managing large-scale genomic datasets and translation into clinical practice;Lecroq;Yearb Med Inform.,2014

5. The challenge of informed consent and return of results in translational genomics: empirical analysis and recommendations;Henderson;J Law, Med Ethics.,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3