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Whole-genome sequencing for an enhanced understanding of genetic variation among South Africans
- Source :
- Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017), Nature Communications
- Publication Year :
- 2017
- Publisher :
- Nature Portfolio, 2017.
-
Abstract
- The Southern African Human Genome Programme is a national initiative that aspires to unlock the unique genetic character of southern African populations for a better understanding of human genetic diversity. In this pilot study the Southern African Human Genome Programme characterizes the genomes of 24 individuals (8 Coloured and 16 black southeastern Bantu-speakers) using deep whole-genome sequencing. A total of ~16 million unique variants are identified. Despite the shallow time depth since divergence between the two main southeastern Bantu-speaking groups (Nguni and Sotho-Tswana), principal component analysis and structure analysis reveal significant (p<br />African populations show a high level of genetic diversity and extensive regional admixture. Here, the authors sequence the whole genomes of 24 South African individuals of different ethnolinguistic origin and find substantive genomic divergence between two southeastern Bantu-speaking groups.
- Subjects :
- 0301 basic medicine
Male
Science
DNA Mutational Analysis
General Physics and Astronomy
Black People
Pilot Projects
Human genetic variation
Computational biology
030105 genetics & heredity
Biology
Genome
General Biochemistry, Genetics and Molecular Biology
DNA sequencing
Article
03 medical and health sciences
South Africa
Genetic variation
Humans
Genetic Predisposition to Disease
lcsh:Science
Whole genome sequencing
Principal Component Analysis
Multidisciplinary
Data curation
Genome, Human
Genetic Variation
General Chemistry
Healthy Volunteers
030104 developmental biology
Functional annotation
Mutation
lcsh:Q
Human genome
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....490bf22bbd1f09044e925f504f5ea227