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The genetic and evolutionary basis of gene expression variation in East Africans
BACKGROUND: Mapping of quantitative trait loci (QTL) associated with molecular phenotypes is a powerful approach for identifying the genes and molecular mechanisms underlying human traits and diseases, though most studies have focused on individuals of European descent. While important progress has...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951478/ https://www.ncbi.nlm.nih.gov/pubmed/36829244 http://dx.doi.org/10.1186/s13059-023-02874-4 |
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author | Kelly, Derek E. Ramdas, Shweta Ma, Rong Rawlings-Goss, Renata A. Grant, Gregory R. Ranciaro, Alessia Hirbo, Jibril B. Beggs, William Yeager, Meredith Chanock, Stephen Nyambo, Thomas B. Omar, Sabah A. Woldemeskel, Dawit Belay, Gurja Li, Hongzhe Brown, Christopher D. Tishkoff, Sarah A. |
author_facet | Kelly, Derek E. Ramdas, Shweta Ma, Rong Rawlings-Goss, Renata A. Grant, Gregory R. Ranciaro, Alessia Hirbo, Jibril B. Beggs, William Yeager, Meredith Chanock, Stephen Nyambo, Thomas B. Omar, Sabah A. Woldemeskel, Dawit Belay, Gurja Li, Hongzhe Brown, Christopher D. Tishkoff, Sarah A. |
author_sort | Kelly, Derek E. |
collection | PubMed |
description | BACKGROUND: Mapping of quantitative trait loci (QTL) associated with molecular phenotypes is a powerful approach for identifying the genes and molecular mechanisms underlying human traits and diseases, though most studies have focused on individuals of European descent. While important progress has been made to study a greater diversity of human populations, many groups remain unstudied, particularly among indigenous populations within Africa. To better understand the genetics of gene regulation in East Africans, we perform expression and splicing QTL mapping in whole blood from a cohort of 162 diverse Africans from Ethiopia and Tanzania. We assess replication of these QTLs in cohorts of predominantly European ancestry and identify candidate genes under selection in human populations. RESULTS: We find the gene regulatory architecture of African and non-African populations is broadly shared, though there is a considerable amount of variation at individual loci across populations. Comparing our analyses to an equivalently sized cohort of European Americans, we find that QTL mapping in Africans improves the detection of expression QTLs and fine-mapping of causal variation. Integrating our QTL scans with signatures of natural selection, we find several genes related to immunity and metabolism that are highly differentiated between Africans and non-Africans, as well as a gene associated with pigmentation. CONCLUSION: Extending QTL mapping studies beyond European ancestry, particularly to diverse indigenous populations, is vital for a complete understanding of the genetic architecture of human traits and can reveal novel functional variation underlying human traits and disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02874-4. |
format | Online Article Text |
id | pubmed-9951478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99514782023-02-25 The genetic and evolutionary basis of gene expression variation in East Africans Kelly, Derek E. Ramdas, Shweta Ma, Rong Rawlings-Goss, Renata A. Grant, Gregory R. Ranciaro, Alessia Hirbo, Jibril B. Beggs, William Yeager, Meredith Chanock, Stephen Nyambo, Thomas B. Omar, Sabah A. Woldemeskel, Dawit Belay, Gurja Li, Hongzhe Brown, Christopher D. Tishkoff, Sarah A. Genome Biol Research BACKGROUND: Mapping of quantitative trait loci (QTL) associated with molecular phenotypes is a powerful approach for identifying the genes and molecular mechanisms underlying human traits and diseases, though most studies have focused on individuals of European descent. While important progress has been made to study a greater diversity of human populations, many groups remain unstudied, particularly among indigenous populations within Africa. To better understand the genetics of gene regulation in East Africans, we perform expression and splicing QTL mapping in whole blood from a cohort of 162 diverse Africans from Ethiopia and Tanzania. We assess replication of these QTLs in cohorts of predominantly European ancestry and identify candidate genes under selection in human populations. RESULTS: We find the gene regulatory architecture of African and non-African populations is broadly shared, though there is a considerable amount of variation at individual loci across populations. Comparing our analyses to an equivalently sized cohort of European Americans, we find that QTL mapping in Africans improves the detection of expression QTLs and fine-mapping of causal variation. Integrating our QTL scans with signatures of natural selection, we find several genes related to immunity and metabolism that are highly differentiated between Africans and non-Africans, as well as a gene associated with pigmentation. CONCLUSION: Extending QTL mapping studies beyond European ancestry, particularly to diverse indigenous populations, is vital for a complete understanding of the genetic architecture of human traits and can reveal novel functional variation underlying human traits and disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02874-4. BioMed Central 2023-02-24 /pmc/articles/PMC9951478/ /pubmed/36829244 http://dx.doi.org/10.1186/s13059-023-02874-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Kelly, Derek E. Ramdas, Shweta Ma, Rong Rawlings-Goss, Renata A. Grant, Gregory R. Ranciaro, Alessia Hirbo, Jibril B. Beggs, William Yeager, Meredith Chanock, Stephen Nyambo, Thomas B. Omar, Sabah A. Woldemeskel, Dawit Belay, Gurja Li, Hongzhe Brown, Christopher D. Tishkoff, Sarah A. The genetic and evolutionary basis of gene expression variation in East Africans |
title | The genetic and evolutionary basis of gene expression variation in East Africans |
title_full | The genetic and evolutionary basis of gene expression variation in East Africans |
title_fullStr | The genetic and evolutionary basis of gene expression variation in East Africans |
title_full_unstemmed | The genetic and evolutionary basis of gene expression variation in East Africans |
title_short | The genetic and evolutionary basis of gene expression variation in East Africans |
title_sort | genetic and evolutionary basis of gene expression variation in east africans |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951478/ https://www.ncbi.nlm.nih.gov/pubmed/36829244 http://dx.doi.org/10.1186/s13059-023-02874-4 |
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