1. Copy number variation in human genomes from three major ethno-linguistic groups in Africa
- Author
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Bruno Bucheton, Oscar A. Nyangiri, Elvis Ofon, Enock Matovu, Martin Simuunza, Issa Sidibé, Magambo Phillip Kimuda, Julius Mulindwa, Mathurin Koffi, John Enyaru, Justin Windingoudi Kaboré, Annette MacLeod, Bernardin Ahouty, Vincent P. Alibu, Mamadou Camara, Olivier Fataki Asina, Kelita Kamoto, Gustave Simo, Dieudonné Mumba, Harry Noyes, Christiane Hertz-Fowler, Neil Hall, John Chisi, and Hamidou Ilboudo
- Subjects
lcsh:QH426-470 ,DNA Copy Number Variations ,lcsh:Biotechnology ,CNV ,Black People ,Single-nucleotide polymorphism ,Biology ,Population stratification ,Structural variation ,03 medical and health sciences ,0302 clinical medicine ,lcsh:TP248.13-248.65 ,mental disorders ,Databases, Genetic ,Genetics ,SNP ,Humans ,Genetic Predisposition to Disease ,Copy-number variation ,1000 Genomes Project ,Adaptation ,030304 developmental biology ,0303 health sciences ,Genome, Human ,Haplotype ,Genomics ,lcsh:Genetics ,Niger Congo B ,Genetics, Population ,Haplotypes ,Tag haplotypes ,Africa ,Niger Congo A ,Signatures of selection ,Human genome ,Nilo-Saharan ,030217 neurology & neurosurgery ,Biotechnology ,Research Article - Abstract
Background Copy number variation is an important class of genomic variation that has been reported in 75% of the human genome. However, it is underreported in African populations. Copy number variants (CNVs) could have important impacts on disease susceptibility and environmental adaptation. To describe CNVs and their possible impacts in Africans, we sequenced genomes of 232 individuals from three major African ethno-linguistic groups: (1) Niger Congo A from Guinea and Côte d’Ivoire, (2) Niger Congo B from Uganda and the Democratic Republic of Congo and (3) Nilo-Saharans from Uganda. We used GenomeSTRiP and cn.MOPS to identify copy number variant regions (CNVRs). Results We detected 7608 CNVRs, of which 2172 were only deletions, 2384 were only insertions and 3052 had both. We detected 224 previously un-described CNVRs. The majority of novel CNVRs were present at low frequency and were not shared between populations. We tested for evidence of selection associated with CNVs and also for population structure. Signatures of selection identified previously, using SNPs from the same populations, were overrepresented in CNVRs. When CNVs were tagged with SNP haplotypes to identify SNPs that could predict the presence of CNVs, we identified haplotypes tagging 3096 CNVRs, 372 CNVRs had SNPs with evidence of selection (iHS > 3) and 222 CNVRs had both. This was more than expected (p Conclusions Novel CNVRs in the current study increase representation of African diversity in the database of genomic variants. Over-representation of CNVRs in SNP signatures of selection and an excess of SNPs that both tag CNVs and are subject to selection show that CNVs may be the actual targets of selection at some loci. However, unlike SNPs, CNVs alone do not resolve African ethno-linguistic groups. Tag haplotypes for CNVs identified may be useful in predicting African CNVs in future studies where only SNP data is available.
- Published
- 2019