This project represents the first in-depth genetic study that use genome-wide data to specifically investigate the spread of farming populations in sub-Saharan Africa. It encompasses the first in-depth investigation of the Bantu-expansions, using high density genome-wide SNP data, the first study highlighting the genetic evidence underlying the southern African KhoeKhoe-herder culture, as well as the genetic structure of the farmers and herders from the African Sahel. Through this study the history of African farmers and herders was (and will be) elucidated and placed into a global context of population diffusion.
A thorough understanding of current genetic variation in Africa will not only help inferences about human history based on modern day genetic variation but is also crucial to inform ancient DNA (aDNA) studies. The rapid developments in the aDNA field, extended the power of genetics to make direct inferences about the genetics of ancient humans. Ancient DNA from humans have the potential to answer a number of important questions, including pinpointing the origin of modern humans and assessing genetic variability of humans in pre-historic times. For more recent remains, it has the ability of directly studying population movements; i.e. it can confirm/disprove population continuity, identify in-moving groups and quantify resulting fractions of admixture in descending groups. However, it is crucial that we extend our geographic coverage of modern day genetic data across the whole of sub- Saharan Africa. The genetic data generated from the farmers and herders included in this study will be added to the database of present day sub-Saharan African genetic variation to, in the end, map aDNA studies more effectively against present day genetic variation.
Although the current project does not have direct clinical significance, data generated by the project will be made available online for research use, through the European Genome-phenome Archive, under controlled access policies consistent with consent agreements. Research access to these datasets will facilitate and encourage the inclusion of African genetic variation in medical research and clinical studies.