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Developing Clinical Phenotype Data Collection Standards for Research in Africa.
- Source :
-
Global health, epidemiology and genomics [Glob Health Epidemiol Genom] 2023 Sep 19; Vol. 2023, pp. 6693323. Date of Electronic Publication: 2023 Sep 19 (Print Publication: 2023). - Publication Year :
- 2023
-
Abstract
- Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regions across the world. An increasing number of data harmonisation efforts are being undertaken by multistudy collaborations through either prospective standardised phenotype data collection or retrospective phenotype harmonisation. In this regard, the Phenotype Harmonisation Working Group (PHWG) of the Human Heredity and Health in Africa (H3Africa) consortium aimed to facilitate phenotype standardisation by both promoting the use of existing data collection standards (hosted by PhenX), adapting existing data collection standards for appropriate use in low- and middle-income regions such as Africa, and developing novel data collection standards where relevant gaps were identified. Ultimately, the PHWG produced 11 data collection kits, consisting of 82 protocols, 38 of which were existing protocols, 17 were adapted, and 27 were novel protocols. The data collection kits will facilitate phenotype standardisation and harmonisation not only in Africa but also across the larger research community. In addition, the PHWG aims to feed back adapted and novel protocols to existing reference platforms such as PhenX.<br />Competing Interests: The authors declare that they have no conflicts of interest.<br /> (Copyright © 2023 Lyndon Zass et al.)
- Subjects :
- Humans
Retrospective Studies
Africa
Data Collection
Phenotype
Prospective Studies
Subjects
Details
- Language :
- English
- ISSN :
- 2054-4200
- Volume :
- 2023
- Database :
- MEDLINE
- Journal :
- Global health, epidemiology and genomics
- Publication Type :
- Academic Journal
- Accession number :
- 37766808
- Full Text :
- https://doi.org/10.1155/2023/6693323