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Genome Diversity in Africa Project: Uganda (2021-02-17)

Globally, human populations show structured genetic diversity as a result of geographical dispersion, selection and drift. Understanding this genetic variation can provide insights into the evolutionary processes that shape both human adaptation and variation in disease. Populations from SSA have the highest levels of genetic diversity. This characteristic, in addition to historical genetic admixture, can lead to complexities in the design of studies assessing the genetic determinants of disease and human variation. However, such studies of African populations are also likely to provide new opportunities to discover novel disease susceptibility loci and variants and refine gene-disease association signals. A systematic assessment of genetic diversity within SSA would facilitate genomic epidemiological studies in the region. The Genome Diversity in Africa Project (GDAP) aims to produce a comprehensive catalogue of human genetic variation in SSA, including single nucleotide polymorphisms (SNPs), structural variants, and haplotypes. This resource will make a substantial contribution to understanding patterns of genetic diversity within and among populations in SSA, as well as providing a global resource to help design, implement and interpret genomic studies in SSA populations and studies comprising globally diverse populations, complementing existing genomic resources. Specifically, we plan to carry out high depth whole genome sequencing of up to 2000 individuals across Africa (25 individuals from each ethnolinguistic group). Our scientific objectives are to: 1) develop a resource that provides a comprehensive catalogue of genetic variation in populations from SSA accessible to the global scientific community; 2) characterise population genetic diversity, structure, gene flow and admixture across SSA; 3) develop a cost-efficient, next-generation genotype array for diverse populations across SSA; and 4) facilitate whole genome-sequencing association studies of complex traits and diseases by developing a reference panel for imputation and resource for enhancing fine-mapping disease susceptibility loci. These scientific objectives will be supported by cross-cutting operational activities, including network and management of the consortium, research ethics, and research capacity building in statistical genetics and bioinformatics . This dataset contains all the data available for this study on 2021-02-17.

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APCDR (African Partnership for Chronic Disease Research): Governance Framework

http://www.apcdr.org/

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001002523 Whole Genome Sequencing

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00002319915 cram 40.6 GB
EGAF00002319916 cram 40.8 GB
EGAF00002319917 cram 40.1 GB
EGAF00002319918 cram 40.3 GB
EGAF00002319919 cram 38.8 GB
EGAF00002319920 cram 39.6 GB
EGAF00002319921 cram 39.2 GB
EGAF00002319922 cram 39.3 GB
EGAF00002319923 cram 39.8 GB
EGAF00002319924 cram 38.6 GB
EGAF00002319925 cram 38.9 GB
EGAF00002319926 cram 37.3 GB
EGAF00002319927 cram 43.1 GB
EGAF00002319928 cram 43.7 GB
EGAF00002319929 cram 41.7 GB
EGAF00002319930 cram 44.5 GB
EGAF00002319931 cram 43.6 GB
EGAF00002319932 cram 45.3 GB
EGAF00002319933 cram 45.1 GB
EGAF00002384077 cram 41.3 GB
EGAF00002384078 cram 40.9 GB
EGAF00002384079 cram 40.6 GB
EGAF00002384080 cram 38.3 GB
EGAF00002384081 cram 41.7 GB
EGAF00005001823 cram 13.1 GB
EGAF00005001824 cram 9.9 GB
EGAF00005001825 cram 18.0 GB
EGAF00005001826 cram 11.4 GB
EGAF00005001827 cram 12.8 GB
EGAF00005001828 cram 11.7 GB
EGAF00005001829 cram 10.8 GB
EGAF00005001830 cram 15.7 GB
EGAF00005001831 cram 989.2 MB
EGAF00005001832 cram 44.0 GB
34 Files (1.1 TB)