
pmid: 37766808
pmc: PMC10522421
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.
Alternative medicine, Challenges and Innovations in Bioinformatics Education, Data science, Biochemistry, Genetics and Molecular Biology, Phenotype Analysis, Health Sciences, Genetics, Pathology, FOS: Mathematics, Humans, Prospective Studies, Molecular Biology, Retrospective Studies, Data Collection, Statistics, Public Health, Environmental and Occupational Health, Life Sciences, Standards and Guidelines for Genetic Variant Interpretation, Computer science, Ethical Considerations in Medical Research Participation, Phenotype, FOS: Biological sciences, Africa, Protocol (science), Data collection, Medicine, Public aspects of medicine, RA1-1270, Mathematics, Research Article
Alternative medicine, Challenges and Innovations in Bioinformatics Education, Data science, Biochemistry, Genetics and Molecular Biology, Phenotype Analysis, Health Sciences, Genetics, Pathology, FOS: Mathematics, Humans, Prospective Studies, Molecular Biology, Retrospective Studies, Data Collection, Statistics, Public Health, Environmental and Occupational Health, Life Sciences, Standards and Guidelines for Genetic Variant Interpretation, Computer science, Ethical Considerations in Medical Research Participation, Phenotype, FOS: Biological sciences, Africa, Protocol (science), Data collection, Medicine, Public aspects of medicine, RA1-1270, Mathematics, Research Article
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