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Genetic Epidemiology of Kidney Disease in African Populations

25th - 30th January 2026, University of the Witwatersrand, Johannesburg, South Africa.

Course Run Website
Course Time Table 2026
Course Informatics Guide

Summary

Kidney disease is a major and growing health challenge across Africa, yet African populations remain vastly underrepresented in genetic studies of chronic kidney disease (CKD). Harnessing Africa’s unparalleled genomic diversity to understand kidney disease risk and improve patient outcomesrequires both cutting-edge science and a new generation of African leaders in kidney genomics.

This inaugural KidneyGenAfrica short course, delivered in partnership with Wellcome Connecting Science, will bring together postgraduate and early-career researchers from across the continent to strengthen knowledge, practical skills, and collaborative networks in the genetic epidemiology of kidney disease. Over five intensive days at the University of the Witwatersrand, participants will explore CKD phenotypes in African populations, critically appraise genetic contributors such as APOL1, and gain hands-on experience with genome-wide association studies, polygenic risk scores, and emerging multi-omics approaches.

Through expert-led seminars, interactive discussions, and practical data analysis sessions, the course will also provide a platform to examine ethical and community considerations in African genomics, share research across diverse contexts, and develop project proposals. Participants will leave with new technical skills, strengthened professional networks, and a deeper understanding of how to drive equitable kidney genomics research across Africa.

Target Audience

Postgraduate students, early- to mid-career investigators, and clinician-scientists in medical or allied medical disciplines who are involved in kidney disease research in African ancestry populations.

Learning outcomes

By the end of the course, participants will be able to:

  • Explain the burden, phenotypes, and genetic contributors of chronic kidney disease in African populations, with reference to global comparisons.
  • Critically evaluate emerging evidence from genomic, epidemiological, and biomarker studies of kidney disease in Africa.
  • Apply core methods in genetic epidemiology and bioinformatics (e.g., GWAS, risk scores, multi-omics) to interpret kidney disease data.
  • Assess the ethical, regulatory, and community engagement challenges of genomics research in Africa and propose practical solutions.
  • Design collaborative research proposals and outline strategies for advancing kidney genomics leadership in Africa.

Course Instructors

Wellcome Connecting Science Team


Citing and Re-using Course Material

The course data are free to reuse and adapt with appropriate attribution. All course data in these repositories are licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Creative Commons Licence

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