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Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries

Since 2005, genome-wide association (GWA) datasets have been largely biased toward sampling European ancestry individuals, and recent studies have shown that GWA results estimated from self-identified European individuals are not transferable to non-European individuals because of various confoundin...

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Autores principales: Smith, Samuel Pattillo, Shahamatdar, Sahar, Cheng, Wei, Zhang, Selena, Paik, Joseph, Graff, Misa, Haiman, Christopher, Matise, T.C., North, Kari E., Peters, Ulrike, Kenny, Eimear, Gignoux, Chris, Wojcik, Genevieve, Crawford, Lorin, Ramachandran, Sohini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118115/
https://www.ncbi.nlm.nih.gov/pubmed/35349783
http://dx.doi.org/10.1016/j.ajhg.2022.03.005
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author Smith, Samuel Pattillo
Shahamatdar, Sahar
Cheng, Wei
Zhang, Selena
Paik, Joseph
Graff, Misa
Haiman, Christopher
Matise, T.C.
North, Kari E.
Peters, Ulrike
Kenny, Eimear
Gignoux, Chris
Wojcik, Genevieve
Crawford, Lorin
Ramachandran, Sohini
author_facet Smith, Samuel Pattillo
Shahamatdar, Sahar
Cheng, Wei
Zhang, Selena
Paik, Joseph
Graff, Misa
Haiman, Christopher
Matise, T.C.
North, Kari E.
Peters, Ulrike
Kenny, Eimear
Gignoux, Chris
Wojcik, Genevieve
Crawford, Lorin
Ramachandran, Sohini
author_sort Smith, Samuel Pattillo
collection PubMed
description Since 2005, genome-wide association (GWA) datasets have been largely biased toward sampling European ancestry individuals, and recent studies have shown that GWA results estimated from self-identified European individuals are not transferable to non-European individuals because of various confounding challenges. Here, we demonstrate that enrichment analyses that aggregate SNP-level association statistics at multiple genomic scales—from genes to genomic regions and pathways—have been underutilized in the GWA era and can generate biologically interpretable hypotheses regarding the genetic basis of complex trait architecture. We illustrate examples of the robust associations generated by enrichment analyses while studying 25 continuous traits assayed in 566,786 individuals from seven diverse self-identified human ancestries in the UK Biobank and the Biobank Japan as well as 44,348 admixed individuals from the PAGE consortium including cohorts of African American, Hispanic and Latin American, Native Hawaiian, and American Indian/Alaska Native individuals. We identify 1,000 gene-level associations that are genome-wide significant in at least two ancestry cohorts across these 25 traits as well as highly conserved pathway associations with triglyceride levels in European, East Asian, and Native Hawaiian cohorts.
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spelling pubmed-91181152022-05-20 Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries Smith, Samuel Pattillo Shahamatdar, Sahar Cheng, Wei Zhang, Selena Paik, Joseph Graff, Misa Haiman, Christopher Matise, T.C. North, Kari E. Peters, Ulrike Kenny, Eimear Gignoux, Chris Wojcik, Genevieve Crawford, Lorin Ramachandran, Sohini Am J Hum Genet Article Since 2005, genome-wide association (GWA) datasets have been largely biased toward sampling European ancestry individuals, and recent studies have shown that GWA results estimated from self-identified European individuals are not transferable to non-European individuals because of various confounding challenges. Here, we demonstrate that enrichment analyses that aggregate SNP-level association statistics at multiple genomic scales—from genes to genomic regions and pathways—have been underutilized in the GWA era and can generate biologically interpretable hypotheses regarding the genetic basis of complex trait architecture. We illustrate examples of the robust associations generated by enrichment analyses while studying 25 continuous traits assayed in 566,786 individuals from seven diverse self-identified human ancestries in the UK Biobank and the Biobank Japan as well as 44,348 admixed individuals from the PAGE consortium including cohorts of African American, Hispanic and Latin American, Native Hawaiian, and American Indian/Alaska Native individuals. We identify 1,000 gene-level associations that are genome-wide significant in at least two ancestry cohorts across these 25 traits as well as highly conserved pathway associations with triglyceride levels in European, East Asian, and Native Hawaiian cohorts. Elsevier 2022-05-05 2022-03-28 /pmc/articles/PMC9118115/ /pubmed/35349783 http://dx.doi.org/10.1016/j.ajhg.2022.03.005 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Smith, Samuel Pattillo
Shahamatdar, Sahar
Cheng, Wei
Zhang, Selena
Paik, Joseph
Graff, Misa
Haiman, Christopher
Matise, T.C.
North, Kari E.
Peters, Ulrike
Kenny, Eimear
Gignoux, Chris
Wojcik, Genevieve
Crawford, Lorin
Ramachandran, Sohini
Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
title Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
title_full Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
title_fullStr Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
title_full_unstemmed Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
title_short Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
title_sort enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118115/
https://www.ncbi.nlm.nih.gov/pubmed/35349783
http://dx.doi.org/10.1016/j.ajhg.2022.03.005
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