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Copy number variation in human genomes from three major ethno-linguistic groups in Africa
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 des...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147055/ https://www.ncbi.nlm.nih.gov/pubmed/32272904 http://dx.doi.org/10.1186/s12864-020-6669-y |
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author | Nyangiri, Oscar A. Noyes, Harry Mulindwa, Julius Ilboudo, Hamidou Kabore, Justin Windingoudi Ahouty, Bernardin Koffi, Mathurin Asina, Olivier Fataki Mumba, Dieudonne Ofon, Elvis Simo, Gustave Kimuda, Magambo Phillip Enyaru, John Alibu, Vincent Pius Kamoto, Kelita Chisi, John Simuunza, Martin Camara, Mamadou Sidibe, Issa MacLeod, Annette Bucheton, Bruno Hall, Neil Hertz-Fowler, Christiane Matovu, Enock |
author_facet | Nyangiri, Oscar A. Noyes, Harry Mulindwa, Julius Ilboudo, Hamidou Kabore, Justin Windingoudi Ahouty, Bernardin Koffi, Mathurin Asina, Olivier Fataki Mumba, Dieudonne Ofon, Elvis Simo, Gustave Kimuda, Magambo Phillip Enyaru, John Alibu, Vincent Pius Kamoto, Kelita Chisi, John Simuunza, Martin Camara, Mamadou Sidibe, Issa MacLeod, Annette Bucheton, Bruno Hall, Neil Hertz-Fowler, Christiane Matovu, Enock |
author_sort | Nyangiri, Oscar A. |
collection | PubMed |
description | 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 < 0.0001) and included loci where CNVs have previously been associated with HIV, Rhesus D and preeclampsia. When integrated with 1000 Genomes CNV data, we replicated their observation of population stratification by continent but no clustering by populations within Africa, despite inclusion of Nilo-Saharans and Niger-Congo populations within our dataset. 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. |
format | Online Article Text |
id | pubmed-7147055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71470552020-04-18 Copy number variation in human genomes from three major ethno-linguistic groups in Africa Nyangiri, Oscar A. Noyes, Harry Mulindwa, Julius Ilboudo, Hamidou Kabore, Justin Windingoudi Ahouty, Bernardin Koffi, Mathurin Asina, Olivier Fataki Mumba, Dieudonne Ofon, Elvis Simo, Gustave Kimuda, Magambo Phillip Enyaru, John Alibu, Vincent Pius Kamoto, Kelita Chisi, John Simuunza, Martin Camara, Mamadou Sidibe, Issa MacLeod, Annette Bucheton, Bruno Hall, Neil Hertz-Fowler, Christiane Matovu, Enock BMC Genomics Research Article 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 < 0.0001) and included loci where CNVs have previously been associated with HIV, Rhesus D and preeclampsia. When integrated with 1000 Genomes CNV data, we replicated their observation of population stratification by continent but no clustering by populations within Africa, despite inclusion of Nilo-Saharans and Niger-Congo populations within our dataset. 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. BioMed Central 2020-04-10 /pmc/articles/PMC7147055/ /pubmed/32272904 http://dx.doi.org/10.1186/s12864-020-6669-y Text en © The Author(s). 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nyangiri, Oscar A. Noyes, Harry Mulindwa, Julius Ilboudo, Hamidou Kabore, Justin Windingoudi Ahouty, Bernardin Koffi, Mathurin Asina, Olivier Fataki Mumba, Dieudonne Ofon, Elvis Simo, Gustave Kimuda, Magambo Phillip Enyaru, John Alibu, Vincent Pius Kamoto, Kelita Chisi, John Simuunza, Martin Camara, Mamadou Sidibe, Issa MacLeod, Annette Bucheton, Bruno Hall, Neil Hertz-Fowler, Christiane Matovu, Enock Copy number variation in human genomes from three major ethno-linguistic groups in Africa |
title | Copy number variation in human genomes from three major ethno-linguistic groups in Africa |
title_full | Copy number variation in human genomes from three major ethno-linguistic groups in Africa |
title_fullStr | Copy number variation in human genomes from three major ethno-linguistic groups in Africa |
title_full_unstemmed | Copy number variation in human genomes from three major ethno-linguistic groups in Africa |
title_short | Copy number variation in human genomes from three major ethno-linguistic groups in Africa |
title_sort | copy number variation in human genomes from three major ethno-linguistic groups in africa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147055/ https://www.ncbi.nlm.nih.gov/pubmed/32272904 http://dx.doi.org/10.1186/s12864-020-6669-y |
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