H3Africa empowers African researchers to be competitive in genomic sciences, establishes and nurtures effective collaborations among African researchers on the African continent, and generates unique data that could be used to improve both African and global health.
There is currently a global effort to apply genomic science and associated technologies to further the understanding of health and disease in diverse populations. These efforts work to identify individuals and populations who are at risk for developing specific diseases, and to better understand underlying genetic and environmental contributions to that risk. Given the large amount of genetic diversity on the African continent, there exists an enormous opportunity to utilize such approaches to benefit African populations and to inform global health.
The Human Heredity and Health in Africa (H3Africa) consortium facilitates fundamental research into diseases on the African continent while also developing infrastructure, resources, training, and ethical guidelines to support a sustainable African research enterprise – led by African scientists, for the African people. The initiative consists of 51 African projects that include population-based genomic studies of common, non-communicable disorders such as heart and renal disease, as well as communicable diseases such as tuberculosis. These studies are led by African scientists and use genetic, clinical, and epidemiologic methods to identify hereditary and environmental contributions to health and disease. To establish a foundation for African scientists to continue this essential work into the future work, the consortium also supports many crucial capacity building elements, such as: ethical, legal, and social implications research; training and capacity building for bioinformatics; capacity for biobanking; and coordination and networking.


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Africa study finds three million new genetic variations - The Mail & Guardian https://mg.co.za/opinion/2020-11-24-africa-study-finds-three-million-new-genetic-variations/

Amazing piece of work @dl_zane @H3Africa @mgen_africa #Africa

Dear all, please be reminded of our highly anticipated webinar with the @Stanford Statistics Professor Susan Holmes @SherlockpHolmes when she will be discussing "Statistical and computational challenges in the analysis of the Human microbiome" today at 3 PM CAT! DO NOT MISS OUT😀 https://twitter.com/H3ABioNet/status/1331132201241612294

One of our PhD Fellows, Jessica Uwanibe @JessicaUwanibe, is studying the prevalence of multi-drug resistance in Salmonella typhi within Osun State, Nigeria. The knowledge of #AntimicrobialResistance in this pathogen will guide drug prescription for adequate treatment of typhoid.

We are hiring a Chief Standards Officer to help build a collaborative culture that balances the technical needs of Driver Projects, strategic partners, the clinical community & other stakeholders so that GA4GH standards are broadly utilized.

Apply: https://bit.ly/35h24wi

Together with @cschlebu, I wrote a Spotlight article in @TrendsGenetics about the recent @H3Africa path-breaking study that was recently published in @nature, to highlight once again the important role of genomic research in Africa https://www.sciencedirect.com/science/article/pii/S0168952520303103

Join us tomorrow 25th Nov for the next @H3ABioNet webinar from Professor Susan Holmes on Statistical and Computational Challenges in the Analysis of the Human Microbiome, see: https://tinyurl.com/y64mhs65

Building a successful career in Bioinformatics and Genomics
Date: Thur 10th Dec, 2020
Time: 3pm WAT, 4pm CAT
Speaker: Prof Babatunde Salako @LawalSalako @nimrnigeria @H3ABioNet @H3Africa @TACG_Group @NBGN12
Register to participate https://twitter.com/NBGN12/status/1328885804274429952

You are cordially invited to attend @H3ABionet November 2020 Webinar with Professor Susan Holmes (@SherlockpHolmes), Statistics Professor at @Stanford University who will be talking about Mirobiome Analysis on the 25th of Nov 2020 at 3 PM CAT - https://mailchi.mp/3c9706036255/w6krca4gtf-19396964

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