Biobanks AFRICA

Africa Wits–INDEPTH Partnership for Genomic Research: harmonized obesity/diabetes/T2D-related phenotypes and genome-wide data across rural and urban sites; widely cited in African GWAS.

Human Heredity and Health in Africa: pan-African genomics and epidemiology initiative producing genome-wide data, reference panels, and phenotype-linked biosamples for disease and population-genetics GWAS.

Genomic studies in African populations provide unique opportunities to understand disease aetiology, human genetic diversity and population history in a regional and a global context. To leverage the relative benefits of different strategies, we undertook a combined approach of genotyping and whole-genome sequencing (WGS) in a population-based study of 6,400 individuals from a geographically defined rural community in South-West Uganda. We present data from 4,778 individuals with genotypes for ~2.2 million SNPs from the Uganda GWAS resource (UGWAS), and sequence data on up to 1,978 individuals spanning 41.5M SNPs and 4.5M indels (UG2G); 343 individuals overlap between the two datasets. We highlight the value of the largest sequence panel from Africa to date as a global resource for variant discovery, imputation and understanding the mutational spectrum and its clinical relevance in African populations. Alongside phenotype data, we provide a rich new genomic resource for researchers in Africa and globally

EGYPT CENTER FOR RESEARCH AND REGENERATIVE MEDICINE (ECRRM) IS ONE OF THE RESEARCH UNITS ASSOCIATED WITH THE MINISTRY OF DEFENSE. IT WAS ESTABLISHED BY A PRESIDENTIAL DECREE IN 2017 AND HAS A LEGAL ENTITY AFFILIATED WITH THE MINISTRY OF DEFENSE. THE CENTER WILL INITIATE THE EGYPTIAN GENOME REFERENCE PROJECT, UPON THE PRESIDENT AUTHORIZATION, IN COLLABORATION WITH THE ACADEMY OF SCIENTIFIC RESEARCH AND TECHNOLOGY AND THE MINISTRY OF HIGHER EDUCATION, TO HELP IN THE OVERALL ENHANCEMENT OF THE GENERAL HEALTH CARE IN EGYPT.

Whole-genome and genotype resource from Ugandan cohorts (MRC/UVRI and LSHTM Uganda Research Unit), supporting African population history inference, imputation, and variant discovery.