The long-term vision of the Collaborative Centre (CC) is to build sustainable capacity in Africa for research that leads to an understanding of the interplay between genetic, epigenetic and environmental risk factors for obesity and related cardiometabolic diseases (CMD) in sub-Saharan Africa. The CC will be consolidated under the auspices of the University of the Witwatersrand (Wits) and the International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH). It will capitalize on the unique strengths of existing longitudinal cohorts, including the urban Soweto and rural Agincourt studies in South Africa (Wits based), and the well established INDEPTH demographic health and surveillance centers in Kenya, Ghana, Tanzania, Burkina Faso and South Africa. The centers offer established infrastructure, trained fieldworkers, long-standing community engagement, and detailed longitudinal phenotypic data, focusing on obesity and cardiometabolic health. Key strengths are harmonized phenotyping across sites, building on strong existing cohorts, and representation of the geographic and social variability of African populations.
We aim to: 1. Build sustainable infrastructure (biobanks and laboratories) and capabilities (well characterized population cohorts, genotyping and bioinformatics) for genomic research on the African continent;2. Understand the genomic architecture of sub-Saharan populations from west, east and south Africa to guide genomic studies (genome sequencing and high throughput SNP and CNV arrays using unrelated individuals and family trios to improve the accuracy of haplotype analyses) and;3. Investigate the independent and synergistic genomic contributions to body fat distribution (BMI, hip/waist circumference, subcutaneous and visceral fat) in these populations considering the relevant environmental and social contexts (rural/urban communities, quickly transitioning obesity prevalence, differential HIV, TB, and malaria infection histories). We will investigate the effect of obesity and fat distribution on the risk for CMD in the longitudinal cohorts. The CC will draw upon a wide group of highly experienced African scientists and international collaborators to ensure the success of its vision.
The sub-Saharan African communities under investigation are at various stages of the health epidemiological transition, as evidenced by dramatic differences in obesity and CMD prevalence. Understanding the long term health consequences of rapidly changing environmental and demographic conditions in the context of African genome variation will inform public health interventions to mitigate chronic disease burden.
|Peprah, Emmanuel; Wiley, Ken; Troyer, Jennifer et al. (2016) Building a Platform to Enable NCD Research to Address Population Health in Africa: CVD Working Group Discussion at the Sixth H3Africa Consortium Meeting in Zambia. Glob Heart 11:165-70|
|Ramsay, MichÃ¨le; Sankoh, Osman; as members of the AWI-Gen study and the H3Africa Consortium (2016) African partnerships through the H3Africa Consortium bring a genomic dimension to longitudinal population studies on the continent. Int J Epidemiol 45:305-8|
|de Vries, Jantina; Tindana, Paulina; Littler, Katherine et al. (2015) The H3Africa policy framework: negotiating fairness in genomics. Trends Genet 31:117-9|
|Ramsay, MichÃ¨le; de Vries, Jantina; Soodyall, Himla et al. (2014) Ethical issues in genomic research on the African continent: experiences and challenges to ethics review committees. Hum Genomics 8:15|
|(2014) Research capacity. Enabling the genomic revolution in Africa. Science 344:1346-8|
|Owolabi, Mayowa O; Mensah, George A; Kimmel, Paul L et al. (2014) Understanding the rise in cardiovascular diseases in Africa: harmonising H3Africa genomic epidemiological teams and tools. Cardiovasc J Afr 25:134-6|