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Developing Clinical Phenotype Data Collection Standards for Research in Africa
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 regio...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522421/ https://www.ncbi.nlm.nih.gov/pubmed/37766808 http://dx.doi.org/10.1155/2023/6693323 |
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author | Zass, Lyndon Johnston, Katherine Benkahla, Alia Chaouch, Melek Kumuthini, Judit Radouani, Fouzia Mwita, Liberata Alexander Alsayed, Nihad Allie, Taryn Sathan, Dassen Masamu, Upendo Seuneu Tchamga, Milaine Sergine Tamuhla, Tsaone Samtal, Chaimae Nembaware, Victoria Gill, Zoe Ahmed, Samah Hamdi, Yosr Fadlelmola, Faisal Tiffin, Nicki Mulder, Nicola |
author_facet | Zass, Lyndon Johnston, Katherine Benkahla, Alia Chaouch, Melek Kumuthini, Judit Radouani, Fouzia Mwita, Liberata Alexander Alsayed, Nihad Allie, Taryn Sathan, Dassen Masamu, Upendo Seuneu Tchamga, Milaine Sergine Tamuhla, Tsaone Samtal, Chaimae Nembaware, Victoria Gill, Zoe Ahmed, Samah Hamdi, Yosr Fadlelmola, Faisal Tiffin, Nicki Mulder, Nicola |
author_sort | Zass, Lyndon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10522421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-105224212023-09-27 Developing Clinical Phenotype Data Collection Standards for Research in Africa Zass, Lyndon Johnston, Katherine Benkahla, Alia Chaouch, Melek Kumuthini, Judit Radouani, Fouzia Mwita, Liberata Alexander Alsayed, Nihad Allie, Taryn Sathan, Dassen Masamu, Upendo Seuneu Tchamga, Milaine Sergine Tamuhla, Tsaone Samtal, Chaimae Nembaware, Victoria Gill, Zoe Ahmed, Samah Hamdi, Yosr Fadlelmola, Faisal Tiffin, Nicki Mulder, Nicola Glob Health Epidemiol Genom Research Article 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. Hindawi 2023-09-19 /pmc/articles/PMC10522421/ /pubmed/37766808 http://dx.doi.org/10.1155/2023/6693323 Text en Copyright © 2023 Lyndon Zass et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zass, Lyndon Johnston, Katherine Benkahla, Alia Chaouch, Melek Kumuthini, Judit Radouani, Fouzia Mwita, Liberata Alexander Alsayed, Nihad Allie, Taryn Sathan, Dassen Masamu, Upendo Seuneu Tchamga, Milaine Sergine Tamuhla, Tsaone Samtal, Chaimae Nembaware, Victoria Gill, Zoe Ahmed, Samah Hamdi, Yosr Fadlelmola, Faisal Tiffin, Nicki Mulder, Nicola Developing Clinical Phenotype Data Collection Standards for Research in Africa |
title | Developing Clinical Phenotype Data Collection Standards for Research in Africa |
title_full | Developing Clinical Phenotype Data Collection Standards for Research in Africa |
title_fullStr | Developing Clinical Phenotype Data Collection Standards for Research in Africa |
title_full_unstemmed | Developing Clinical Phenotype Data Collection Standards for Research in Africa |
title_short | Developing Clinical Phenotype Data Collection Standards for Research in Africa |
title_sort | developing clinical phenotype data collection standards for research in africa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522421/ https://www.ncbi.nlm.nih.gov/pubmed/37766808 http://dx.doi.org/10.1155/2023/6693323 |
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