Global Health, Epidemiology and Genomics

An exciting new development from Cambridge Journals

Global Health, Epidemiology and Genomics

Shaping Medical Genetics in Africa

Home / Genetics / Shaping Medical Genetics in Africa

Shaping Medical Genetics in Africa

Posted on
29 June 2015
by Deepti Gurdasani

Last year we published the first findings from the African Genome Variation Project (AGVP) in the journal Nature. The primary aim of AGVP was to facilitate medical genetic research across Africa by characterizing the genetic variation across Africa and providing a framework for researchers undertaking medical genetic studies in the region.

Although many studies have explored genetic risk factors for diseases in European populations, there have been only a few such studies in African populations. The genetic contributors to disease risk in these populations are poorly understood. The high prevalence of infectious and non-communicable disease in the region further underlines the importance of focusing on genetic risk factors in the region.

Carrying out medical genetic studies in Africa can be challenging; this is the most genetically diverse region in the world. Characterising genetic diversity among populations in Africa would be key to developing a framework for large-scale medical genetics in the region. Towards this end, we worked in partnership with a range of African institutions, including field doctors, nurses and researchers, we collected genetic information from more than 1800 people from Ethiopia, the Gambia, Ghana, Kenya, Nigeria, South Africa and Uganda. We used this information to create a detailed genetic map of 18 ethnolinguistic groups in Africa. By sequencing the genomes of 320 individuals from east, west and southern Africa, we found 30 million genetic variants; a quarter of which have not previously been discovered in any population group.

AGVP also provided an important opportunity to improve our understanding of population history and migrations in Africa. We found evidence of widespread European or Middle Eastern genetic ancestry among several populations dating back up to 9,000 years, supporting the view that such populations have migrated back to Africa for thousands of years. In modern Africa, there are several populations that continue to lead a hunter-gatherer lifestyle and they represent some of the oldest populations in the continent. We found that many populations across Africa had some hunter-gatherer ancestry. We think this reflects aspects of a mass population migration from western central Africa to east Africa and Southern Africa, which is thought to have started around 5,000 years ago. Looking ahead, if we are to better understand the genetic landscape of ancient Africa, I believe we need to study DNA from both contemporary African populations, as well as DNA from ancient material, including from archeological studies.

This was a challenging but rewarding study to work on. Not only has it expanded our understanding of African genetic variation, it has also demonstrated that, notwithstanding the continent’s genetic diversity, it is possible to design methods and tools to help understand the genetic variation and identify genetic risk factors for disease. With the AGVP, we have developed a genetic resource to enable researchers in Africa to conduct such studies across the region. We aim to continue to support these efforts by building better tools and supporting scientists across the region to understand our human origins, history and evolutionary adaptation, and how this impacts on disease risk.

 
Funding for the AGVP was provided by the Wellcome Trust, the Bill and Melinda Gates Foundation, National Institutes of Health (NIH) and the UK Medical Research Council.

Genetics tags: Africa / AGVP / genetic diversity / genetic variation / genetics / genome

Leave a Reply Cancel reply

Recent Posts

  • Rethinking clinical outcome markers in multimorbidity
  • ICPD 25: accelerating the promise or just holding ground?
  • Genomic studies in Africa: an opportunity to leverage existing observational data for causal inference
  • Most genetic studies use only white participants – this will lead to greater health inequality
  • RxScanner™: Making medicines safe globally

Archives

  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • July 2016
  • June 2016
  • May 2016
  • April 2016
  • March 2016
  • February 2016
  • January 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • August 2015
  • July 2015
  • June 2015
  • May 2015

Categories

  • Capacity Building
  • Genetics
  • Global Health
  • Indigenous People
  • Infectious Diseases
  • Journal
  • Non-communicable Diseases
  • Technological advances

Tags

Africa antiretrovirals APCDR blood pressure Brown Capacity building Child health CRONICAS diabetes Ebola Electronic health records epidemiology genetic diversity genetics genomics GHEG global health H3Africa health systems HIV HIV/AIDS human health hypertension India Indigenous health infectious diseases intervention journal LMICs Longitudinal Population-Based studies Low- and middle-income countries Malaria Mental Health NCDs PacBio populations Pregnancy Sandhu Sierra Leone South Africa sub-saharan Africa Women in Global Health World AIDS Day Zoonoses zoonotic
© Copyright 2015 Cambridge University Press
Cambridge University Press