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Authors = Victoria Nembaware

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11 pages, 1478 KiB  
Project Report
The Implementation of Laboratory Information Management System in Multi-Site Genetics Study in Africa: The Challenges and Up-Scaling Opportunities
by Oluwafemi Gabriel Oluwole, Chandre Oosterwyk, Dominique Anderson, Samuel Mawuli Adadey, Khuthala Mnika, Noluthando Manyisa, Abdoulaye Yalcouye, Edmond T. Wonkam, Elvis Twumasi Aboagye, Yacouba Dia, Esther Uwibambe, Mario Jonas, Roy Priestley, Kalinka Popel, Thumeka Manyashe, Carmen de Cock, Victoria Nembaware and Ambroise Wonkam
J. Mol. Pathol. 2022, 3(4), 262-272; https://doi.org/10.3390/jmp3040022 - 22 Oct 2022
Cited by 8 | Viewed by 5692
Abstract
This study describes the roles of laboratory information management systems (LIMS) in multi-site genetics studies in Africa. We used the HiGeneS Africa project as a case study. The study participants were recruited in six African countries between 2019 to 2021. The Baobab LIMS, [...] Read more.
This study describes the roles of laboratory information management systems (LIMS) in multi-site genetics studies in Africa. We used the HiGeneS Africa project as a case study. The study participants were recruited in six African countries between 2019 to 2021. The Baobab LIMS, a server–client-based system (an African-led innovation) was used for the coordination of the biospecimen. The development phase of the LIMS showcased the team formation, data collection, biospecimen collection, and shipment strategies. The implementation phase showcased the biospecimen registration, processing, and quality control (QC) analytics. The sample QC was done using Nanodrop, Qubit, and PicoGreen/gDNATapestation assays. The results showed that a total of 3144 study participants were recruited from Cameroon, Ghana, Mali, Rwanda, Senegal, and South Africa. The biospecimen registration provided a comprehensive registry that included patient demographics, genetic information, and clinical and blood/saliva samples from the proband and family relatives. The QC analyzes identified 30 samples that failed QC, linked to overdue storage in the freezer before DNA extraction. The LIMS components implemented in this project formed a structure that can be upscaled to artificial intelligence-based LIMS. In conclusion, this study represents the largest and the most diverse collection of biospecimens for the genetic study of hearing impairment in Africa to date. A well-characterized LIMS should be recommended for multi-site molecular studies, particularly in Africa, to enhance African participation in global genomic medicine. Full article
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14 pages, 4642 KiB  
Article
The Hearing Impairment Ontology: A Tool for Unifying Hearing Impairment Knowledge to Enhance Collaborative Research
by Jade Hotchkiss, Noluthando Manyisa, Samuel Mawuli Adadey, Oluwafemi Gabriel Oluwole, Edmond Wonkam, Khuthala Mnika, Abdoulaye Yalcouye, Victoria Nembaware, Melissa Haendel, Nicole Vasilevsky, Nicola J. Mulder, Simon Jupp, Ambroise Wonkam and Gaston K. Mazandu
Genes 2019, 10(12), 960; https://doi.org/10.3390/genes10120960 - 21 Nov 2019
Cited by 12 | Viewed by 4159
Abstract
Hearing impairment (HI) is a common sensory disorder that is defined as the partial or complete inability to detect sound in one or both ears. This diverse pathology is associated with a myriad of phenotypic expressions and can be non-syndromic or syndromic. HI [...] Read more.
Hearing impairment (HI) is a common sensory disorder that is defined as the partial or complete inability to detect sound in one or both ears. This diverse pathology is associated with a myriad of phenotypic expressions and can be non-syndromic or syndromic. HI can be caused by various genetic, environmental, and/or unknown factors. Some ontologies capture some HI forms, phenotypes, and syndromes, but there is no comprehensive knowledge portal which includes aspects specific to the HI disease state. This hampers inter-study comparability, integration, and interoperability within and across disciplines. This work describes the HI Ontology (HIO) that was developed based on the Sickle Cell Disease Ontology (SCDO) model. This is a collaboratively developed resource built around the ‘Hearing Impairment’ concept by a group of experts in different aspects of HI and ontologies. HIO is the first comprehensive, standardized, hierarchical, and logical representation of existing HI knowledge. HIO allows researchers and clinicians alike to readily access standardized HI-related knowledge in a single location and promotes collaborations and HI information sharing, including epidemiological, socio-environmental, biomedical, genetic, and phenotypic information. Furthermore, this ontology illustrates the adaptability of the SCDO framework for use in developing a disease-specific ontology. Full article
(This article belongs to the Special Issue Genetic Epidemiology of Deafness)
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10 pages, 416 KiB  
Article
Knowledge, Attitude, and Perceptions of Pharmacists and Pharmacy Students towards Pharmacogenomics in Zimbabwe
by Nyasha Muzoriana, Samuel Gavi, Victoria Nembaware, Milcah Dhoro and Alice Matimba
Pharmacy 2017, 5(3), 36; https://doi.org/10.3390/pharmacy5030036 - 30 Jun 2017
Cited by 45 | Viewed by 6042
Abstract
The potential of pharmacogenomics (PGx) to positively impact health outcomes and quality of healthcare is well-established. However, the application of available evidence into clinical practice is still limited due to limited knowledge among healthcare professionals, including pharmacists. As a start towards building capacity [...] Read more.
The potential of pharmacogenomics (PGx) to positively impact health outcomes and quality of healthcare is well-established. However, the application of available evidence into clinical practice is still limited due to limited knowledge among healthcare professionals, including pharmacists. As a start towards building capacity for PGx education, we assessed knowledge, attitudes, and perceptions about PGx among practising pharmacists and pharmacy students. A cross-sectional study was conducted among pharmacists and undergraduate pharmacy students selected using a convenient sampling method—a 37-question survey instrument was used to obtain information regarding PGx among the participants. Out of a total of 131 participants, 56% of respondents showed fair-to-good PGx knowledge. Respondents’ self-reported assessment indicated that 88% had average and above knowledge scores in PGx. Practising pharmacists in Zimbabwe have positive attitudes towards PGx and would support its application to improve treatments. However, there were concerns about security and discrimination when genomics data is used by those who do not understand its meaning. Participants agreed that they would play a leading role in PGx testing if provided with appropriate training. The interest in PGx is challenged by their limited knowledge and understanding of genetics, suggesting a need to update curricula for pharmacy students and for continuing health education programmes. Full article
(This article belongs to the Section Pharmacy Education and Student/Practitioner Training)
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