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Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study
BACKGROUND: Circulating white blood cell and platelet traits are clinically linked to various disease outcomes and differ across individuals and ancestry groups. Genetic factors play an important role in determining these traits and many loci have been identified. However, most of these findings wer...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191001/ https://www.ncbi.nlm.nih.gov/pubmed/34107879 http://dx.doi.org/10.1186/s12864-021-07745-5 |
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author | Hu, Yao Bien, Stephanie A. Nishimura, Katherine K. Haessler, Jeffrey Hodonsky, Chani J. Baldassari, Antoine R. Highland, Heather M. Wang, Zhe Preuss, Michael Sitlani, Colleen M. Wojcik, Genevieve L. Tao, Ran Graff, Mariaelisa Huckins, Laura M. Sun, Quan Chen, Ming-Huei Mousas, Abdou Auer, Paul L. Lettre, Guillaume Kooperberg, Charles |
author_facet | Hu, Yao Bien, Stephanie A. Nishimura, Katherine K. Haessler, Jeffrey Hodonsky, Chani J. Baldassari, Antoine R. Highland, Heather M. Wang, Zhe Preuss, Michael Sitlani, Colleen M. Wojcik, Genevieve L. Tao, Ran Graff, Mariaelisa Huckins, Laura M. Sun, Quan Chen, Ming-Huei Mousas, Abdou Auer, Paul L. Lettre, Guillaume Kooperberg, Charles |
author_sort | Hu, Yao |
collection | PubMed |
description | BACKGROUND: Circulating white blood cell and platelet traits are clinically linked to various disease outcomes and differ across individuals and ancestry groups. Genetic factors play an important role in determining these traits and many loci have been identified. However, most of these findings were identified in populations of European ancestry (EA), with African Americans (AA), Hispanics/Latinos (HL), and other races/ethnicities being severely underrepresented. RESULTS: We performed ancestry-combined and ancestry-specific genome-wide association studies (GWAS) for white blood cell and platelet traits in the ancestrally diverse Population Architecture using Genomics and Epidemiology (PAGE) Study, including 16,201 AA, 21,347 HL, and 27,236 EA participants. We identified six novel findings at suggestive significance (P < 5E-8), which need confirmation, and independent signals at six previously established regions at genome-wide significance (P < 2E-9). We confirmed multiple previously reported genome-wide significant variants in the single variant association analysis and multiple genes using PrediXcan. Evaluation of loci reported from a Euro-centric GWAS indicated attenuation of effect estimates in AA and HL compared to EA populations. CONCLUSIONS: Our results highlighted the potential to identify ancestry-specific and ancestry-agnostic variants in participants with diverse backgrounds and advocate for continued efforts in improving inclusion of racially/ethnically diverse populations in genetic association studies for complex traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07745-5. |
format | Online Article Text |
id | pubmed-8191001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81910012021-06-10 Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study Hu, Yao Bien, Stephanie A. Nishimura, Katherine K. Haessler, Jeffrey Hodonsky, Chani J. Baldassari, Antoine R. Highland, Heather M. Wang, Zhe Preuss, Michael Sitlani, Colleen M. Wojcik, Genevieve L. Tao, Ran Graff, Mariaelisa Huckins, Laura M. Sun, Quan Chen, Ming-Huei Mousas, Abdou Auer, Paul L. Lettre, Guillaume Kooperberg, Charles BMC Genomics Research Article BACKGROUND: Circulating white blood cell and platelet traits are clinically linked to various disease outcomes and differ across individuals and ancestry groups. Genetic factors play an important role in determining these traits and many loci have been identified. However, most of these findings were identified in populations of European ancestry (EA), with African Americans (AA), Hispanics/Latinos (HL), and other races/ethnicities being severely underrepresented. RESULTS: We performed ancestry-combined and ancestry-specific genome-wide association studies (GWAS) for white blood cell and platelet traits in the ancestrally diverse Population Architecture using Genomics and Epidemiology (PAGE) Study, including 16,201 AA, 21,347 HL, and 27,236 EA participants. We identified six novel findings at suggestive significance (P < 5E-8), which need confirmation, and independent signals at six previously established regions at genome-wide significance (P < 2E-9). We confirmed multiple previously reported genome-wide significant variants in the single variant association analysis and multiple genes using PrediXcan. Evaluation of loci reported from a Euro-centric GWAS indicated attenuation of effect estimates in AA and HL compared to EA populations. CONCLUSIONS: Our results highlighted the potential to identify ancestry-specific and ancestry-agnostic variants in participants with diverse backgrounds and advocate for continued efforts in improving inclusion of racially/ethnically diverse populations in genetic association studies for complex traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07745-5. BioMed Central 2021-06-09 /pmc/articles/PMC8191001/ /pubmed/34107879 http://dx.doi.org/10.1186/s12864-021-07745-5 Text en © The Author(s) 2021 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 Article Hu, Yao Bien, Stephanie A. Nishimura, Katherine K. Haessler, Jeffrey Hodonsky, Chani J. Baldassari, Antoine R. Highland, Heather M. Wang, Zhe Preuss, Michael Sitlani, Colleen M. Wojcik, Genevieve L. Tao, Ran Graff, Mariaelisa Huckins, Laura M. Sun, Quan Chen, Ming-Huei Mousas, Abdou Auer, Paul L. Lettre, Guillaume Kooperberg, Charles Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study |
title | Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study |
title_full | Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study |
title_fullStr | Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study |
title_full_unstemmed | Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study |
title_short | Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study |
title_sort | multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the population architecture using genomics and epidemiology (page) study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191001/ https://www.ncbi.nlm.nih.gov/pubmed/34107879 http://dx.doi.org/10.1186/s12864-021-07745-5 |
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