Developing Clinical Phenotype Data Collection Standards for Research in Africa.

IF 1.1 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Global Health Epidemiology and Genomics Pub Date : 2023-09-19 eCollection Date: 2023-01-01 DOI:10.1155/2023/6693323
Lyndon Zass, Katherine Johnston, Alia Benkahla, Melek Chaouch, Judit Kumuthini, Fouzia Radouani, Liberata Alexander Mwita, Nihad Alsayed, Taryn Allie, Dassen Sathan, Upendo Masamu, Milaine Sergine Seuneu Tchamga, Tsaone Tamuhla, Chaimae Samtal, Victoria Nembaware, Zoe Gill, Samah Ahmed, Yosr Hamdi, Faisal Fadlelmola, Nicki Tiffin, Nicola Mulder
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引用次数: 0

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.

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为非洲研究制定临床表型数据收集标准。
现代生物医学研究的特点是其高通量和跨学科性质。需要对多个异质表型数据集进行有意义的分析的多项目和基于联盟的合作已成为常态;然而,这种分析在世界许多地区仍然是一个挑战。通过前瞻性标准化表型数据收集或回顾性表型协调,多研究合作正在进行越来越多的数据协调工作。在这方面,非洲人类遗传与健康联盟(H3Africa)表型协调工作组(PHWG)旨在通过促进现有数据收集标准的使用(由PhenX主持)、调整现有数据收集规范以在非洲等中低收入地区适当使用、,在发现相关差距的地方制定新的数据收集标准。最终,PHWG生产了11个数据收集试剂盒,由82个协议组成,其中38个是现有协议,17个是改编的,27个是新协议。数据收集试剂盒将促进表型的标准化和协调,不仅在非洲,而且在更大的研究界。此外,PHWG旨在向PhenX等现有参考平台反馈经过调整的新协议。
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来源期刊
Global Health Epidemiology and Genomics
Global Health Epidemiology and Genomics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.40
自引率
0.00%
发文量
10
审稿时长
20 weeks
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