Publication Type

Journal Article

Journal Name

Briefings in Bioinformatics

Name of Author

Daudi Jjingo, Makerere University
Andrew Walakira, Makerere University
Suhaila Hashim, Pwani University
Cisse Cheickna, Université des Sciences, des Techniques et des Technologies de Bamako
Ronald Galiwango, Makerere University
Caleb Kibet, International Centre of Insect Physiology and Ecology Nairobi
Florence N. Kivunike, Makerere University
Gerald Mboowa, Makerere University
Fredrick Elishama Kakembo, Makerere University
Babajide Ayodele, Covenant University
Jean Baka Domelevo Entfellner, Biosciences eastern and central Africa - International Livestock Research Institute
Santie De Villiers, Pwani University
Karen Wambui, International Centre of Insect Physiology and Ecology Nairobi
Segun Fatumo, Queen Mary University of London
Tinashe Chikowore, Brigham and Women's Hospital
John Mukisa, Makerere University
Alfred Ssekagiri, Makerere University
Nicholas Bbosa, Makerere University
Julius Mulindwa, Makerere University
Samuel Kyobe, Makerere University College of Health Sciences
Mike Nsubuga, Makerere University
Grace Kebirungi, Makerere University
Eric Katagirya, Makerere University College of Health Sciences
Savannah Mwesigwa, Makerere University College of Health Sciences
Ibra Lujumba, Makerere University
Rogers Kamulegeya, Makerere University College of Health Sciences
Samuel Kirimunda, Makerere University College of Health Sciences
Stephen Kanyerezi, Makerere University
Shahiid Kiyaga, Makerere University
Ivan Sserwadda, Makerere University
Davis Kiberu, Makerere University
Daniel Masiga, International Centre of Insect Physiology and Ecology (icipe), Nairobi,Kenya

Publication Date

1-1-2026

Abstract

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to build capacity among African scientists to lead research on genetic and environmental contributors to health and disease across the continent. In 2017, the NIH provided funding to support the establishment of four graduate bioinformatics training programs across five African universities. Over seven years, these programs enrolled multiple trainees (n > 270), with >110 earning Master's degrees and >20 completing PhDs in Bioinformatics. It is thus timely to evaluate the outcomes and impact of these programs, particularly regarding graduation rates, career trajectories, and the institutions and research domains their alumni are serving. We also assess employment outcomes and the nature of the research they are enabling (n > 110 peer-reviewed articles). We additionally include the progress and outputs of the programs' instructors, which were partially enabled by program resources, networks, and trainees. Overall, this review paints valuable insights into the pioneering role of NIH extramural support in shaping Africa's biomedical research landscape.

Keywords

Africa, bioinformatics, genomics, graduate trainees, post-graduation pathways

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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