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Van Der Merwe N, Ramesar R, De Vries J. Whole Exome Sequencing in South Africa: Stakeholder Views on Return of Individual Research Results and Incidental Findings. Front Genet 2022; 13:864822. [PMID: 35754817 PMCID: PMC9216214 DOI: 10.3389/fgene.2022.864822] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/30/2022] [Indexed: 11/17/2022] Open
Abstract
The use of whole exome sequencing (WES) in medical research is increasing in South Africa (SA), raising important questions about whether and which individual genetic research results, particularly incidental findings, should be returned to patients. Whilst some commentaries and opinions related to the topic have been published in SA, there is no qualitative data on the views of professional stakeholders on this topic. Seventeen participants including clinicians, genomics researchers, and genetic counsellors (GCs) were recruited from the Western Cape in SA. Semi-structured interviews were conducted, and the transcripts analysed using the framework approach for data analysis. Current roadblocks for the clinical adoption of WES in SA include a lack of standardised guidelines; complexities relating to variant interpretation due to lack of functional studies and underrepresentation of people of African ancestry in the reference genome, population and variant databases; lack of resources and skilled personnel for variant confirmation and follow-up. Suggestions to overcome these barriers include obtaining funding and buy-in from the private and public sectors and medical insurance companies; the generation of a locally relevant reference genome; training of health professionals in the field of genomics and bioinformatics; and multidisciplinary collaboration. Participants emphasised the importance of upscaling the accessibility to and training of GCs, as well as upskilling of clinicians and genetic nurses for return of genetic data in collaboration with GCs and medical geneticists. Future research could focus on exploring the development of stakeholder partnerships for increased access to trained specialists as well as community engagement and education, alongside the development of guidelines for result disclosure.
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Affiliation(s)
- Nicole Van Der Merwe
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Institute for Infectious Diseases and Molecular Medicine, Department of Pathology, Faculty of Medicine and Health Sciences, University of Cape Town, Cape Town, South Africa.,Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Raj Ramesar
- UCT/MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Institute for Infectious Diseases and Molecular Medicine, Department of Pathology, Faculty of Medicine and Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Jantina De Vries
- Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, Observatory, South Africa
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Gurwitz KT, Singh Gaur P, Bellis LJ, Larcombe L, Alloza E, Balint BL, Botzki A, Dimec J, Dominguez del Angel V, Fernandes PL, Korpelainen E, Krause R, Kuzak M, Le Pera L, Leskošek B, Lindvall JM, Marek D, Martinez PA, Muyldermans T, Nygård S, Palagi PM, Peterson H, Psomopoulos F, Spiwok V, van Gelder CWG, Via A, Vidak M, Wibberg D, Morgan SL, Rustici G. A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS Comput Biol 2020; 16:e1007976. [PMID: 32702016 PMCID: PMC7377377 DOI: 10.1371/journal.pcbi.1007976] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
ELIXIR is a pan-European intergovernmental organisation for life science that aims to coordinate bioinformatics resources in a single infrastructure across Europe; bioinformatics training is central to its strategy, which aims to develop a training community that spans all ELIXIR member states. In an evidence-based approach for strengthening bioinformatics training programmes across Europe, the ELIXIR Training Platform, led by the ELIXIR EXCELERATE Quality and Impact Assessment Subtask in collaboration with the ELIXIR Training Coordinators Group, has implemented an assessment strategy to measure quality and impact of its entire training portfolio. Here, we present ELIXIR’s framework for assessing training quality and impact, which includes the following: specifying assessment aims, determining what data to collect in order to address these aims, and our strategy for centralised data collection to allow for ELIXIR-wide analyses. In addition, we present an overview of the ELIXIR training data collected over the past 4 years. We highlight the importance of a coordinated and consistent data collection approach and the relevance of defining specific metrics and answer scales for consortium-wide analyses as well as for comparison of data across iterations of the same course.
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Affiliation(s)
- Kim T. Gurwitz
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | | | - Louisa J. Bellis
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Lee Larcombe
- MRC Human Genetics Unit, The Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Eva Alloza
- Barcelona Supercomputing Center (BSC), INB Coordination node, Life Sciences Department, Barcelona, Spain
| | - Balint Laszlo Balint
- University of Debrecen, Medical Faculty, Department of Biochemistry and Molecular Biology, Debrecen, Hungary
| | - Alexander Botzki
- VIB Flanders Institute for Biotechnology, VIB Bioinformatics Core, Ghent, Belgium
| | - Jure Dimec
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics (IBMI), University of Ljubljana, Ljubljana, Slovenia
| | | | | | | | - Roland Krause
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Mateusz Kuzak
- DTL Dutch Techcentre for Life Sciences, Utrecht, the Netherlands
| | - Loredana Le Pera
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IBIOM), National Research Council of Italy (CNR), Bari, Italy
| | - Brane Leskošek
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics (IBMI), University of Ljubljana, Ljubljana, Slovenia
| | - Jessica M. Lindvall
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Diana Marek
- SIB Training, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Paula A. Martinez
- VIB Flanders Institute for Biotechnology, VIB Bioinformatics Core, Ghent, Belgium
| | - Tuur Muyldermans
- VIB Flanders Institute for Biotechnology, VIB Bioinformatics Core, Ghent, Belgium
| | - Ståle Nygård
- Department of Informatics, University of Oslo, Oslo, Norway
| | - Patricia M. Palagi
- SIB Training, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Hedi Peterson
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Fotis Psomopoulos
- Institute of Applied Biosciences (INAB), Center for Research and Technology Hellas (CERTH), Thessaloniki, Greece
| | - Vojtech Spiwok
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic
| | | | - Allegra Via
- Institute of Molecular Biology and Pathology (IBPM), National Research Council of Italy (CNR), Rome, Italy
| | - Marko Vidak
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics (IBMI), University of Ljubljana, Ljubljana, Slovenia
| | - Daniel Wibberg
- Genome Research of Industrial Microorganisms, Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Sarah L. Morgan
- EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Gabriella Rustici
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
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Richmond PA, Wasserman WW. Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high throughput analysis. F1000Res 2019; 8:1221. [PMID: 31602299 PMCID: PMC6774052 DOI: 10.12688/f1000research.19320.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/19/2019] [Indexed: 11/20/2022] Open
Abstract
Researchers in the life sciences are increasingly faced with the task of obtaining compute resources and training to analyze large, high-throughput technology generated datasets. As demand for compute resources has grown, high performance computing (HPC) systems have been implemented by research organizations and international consortiums to support academic researchers. However, life science researchers lack effective time-of-need training resources for utilization of these systems. Current training options have drawbacks that inhibit the effective training of researchers without experience in computational analysis. We identified the need for flexible, centrally-organized, easily accessible, interactive, and compute resource specific training for academic HPC use. In our delivery of a modular workshop series, we provided foundational training to a group of researchers in a coordinated manner, allowing them to further pursue additional training and analysis on compute resources available to them. Efficacy measures indicate that the material was effectively delivered to a broad audience in a short time period, including both virtual and on-site students. The practical approach to catalyze academic HPC use is amenable to diverse systems worldwide.
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Affiliation(s)
- Phillip A. Richmond
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, British Columbia, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Wyeth W. Wasserman
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, British Columbia, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
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Zhan YA, Wray CG, Namburi S, Glantz ST, Laubenbacher R, Chuang JH. Fostering bioinformatics education through skill development of professors: Big Genomic Data Skills Training for Professors. PLoS Comput Biol 2019; 15:e1007026. [PMID: 31194735 PMCID: PMC6563947 DOI: 10.1371/journal.pcbi.1007026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Bioinformatics has become an indispensable part of life science over the past 2 decades. However, bioinformatics education is not well integrated at the undergraduate level, especially in liberal arts colleges and regional universities in the United States. One significant obstacle pointed out by the Network for Integrating Bioinformatics into Life Sciences Education is the lack of faculty in the bioinformatics area. Most current life science professors did not acquire bioinformatics analysis skills during their own training. Consequently, a great number of undergraduate and graduate students do not get the chance to learn bioinformatics or computational biology skills within a structured curriculum during their education. To address this gap, we developed a module-based, week-long short course to train small college and regional university professors with essential bioinformatics skills. The bioinformatics modules were built to be adapted by the professor-trainees afterward and used in their own classes. All the course materials can be accessed at https://github.com/TheJacksonLaboratory/JAXBD2K-ShortCourse.
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Affiliation(s)
- Yingqian Ada Zhan
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
| | - Charles Gregory Wray
- Genomic Education, The Jackson Laboratory, Bar Harbor, Maine, United States of America
| | - Sandeep Namburi
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
| | - Spencer T. Glantz
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
| | - Reinhard Laubenbacher
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
- Center for Quantitative Medicine, UConn Health, Farmington, Connecticut, United States of America
| | - Jeffrey H. Chuang
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
- Department of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut, United States of America
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