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Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent

To investigate the polygenicity of complex traits in populations of East Asian (EAS) and European (EUR) descents, we leveraged genome-wide data from Biobank Japan, UK Biobank, and FinnGen cohorts. Specifically, we analyzed up to 215 outcomes related to 18 health domains, assessing their polygenic ar...

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Autores principales: De Lillo, Antonella, Wendt, Frank R., Pathak, Gita A., Polimanti, Renato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360343/
https://www.ncbi.nlm.nih.gov/pubmed/37475089
http://dx.doi.org/10.1186/s40246-023-00514-3
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author De Lillo, Antonella
Wendt, Frank R.
Pathak, Gita A.
Polimanti, Renato
author_facet De Lillo, Antonella
Wendt, Frank R.
Pathak, Gita A.
Polimanti, Renato
author_sort De Lillo, Antonella
collection PubMed
description To investigate the polygenicity of complex traits in populations of East Asian (EAS) and European (EUR) descents, we leveraged genome-wide data from Biobank Japan, UK Biobank, and FinnGen cohorts. Specifically, we analyzed up to 215 outcomes related to 18 health domains, assessing their polygenic architecture via descriptive statistics, such as the proportion of susceptibility SNPs per trait (π(c)). While we did not observe EAS–EUR differences in the overall distribution of polygenicity parameters across the phenotypes investigated, there were ancestry-specific patterns in the polygenicity differences between health domains. In EAS, pairwise comparisons across health domains showed enrichment for π(c) differences related to hematological and metabolic traits (hematological fold-enrichment = 4.45, p = 2.15 × 10(–7); metabolic fold-enrichment = 4.05, p = 4.01 × 10(–6)). For both categories, the proportion of susceptibility SNPs was lower than that observed for several other health domains (EAS-hematological median π(c) = 0.15%, EAS-metabolic median π(c) = 0.18%) with the strongest π(c) difference with respect to respiratory traits (EAS-respiratory median π(c) = 0.50%; hematological-p = 2.26 × 10(–3); metabolic-p = 3.48 × 10(–3)). In EUR, pairwise comparisons showed multiple π(c) differences related to the endocrine category (fold-enrichment = 5.83, p = 4.76 × 10(–6)), where these traits showed a low proportion of susceptibility SNPs (EUR-endocrine median π(c) = 0.01%) with the strongest difference with respect to psychiatric phenotypes (EUR-psychiatric median π(c) = 0.50%; p = 1.19 × 10(–4)). Simulating sample sizes of 1,000,000 and 5,000,000 individuals, we also showed that ancestry-specific polygenicity patterns translate into differences across health domains in the genetic variance explained by susceptibility SNPs projected to be genome-wide significant (e.g., EAS hematological-neoplasm p = 2.18 × 10(–4); EUR endocrine-gastrointestinal p = 6.80 × 10(–4)). These findings highlight that traits related to the same health domains may present ancestry-specific variability in their polygenicity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-023-00514-3.
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spelling pubmed-103603432023-07-22 Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent De Lillo, Antonella Wendt, Frank R. Pathak, Gita A. Polimanti, Renato Hum Genomics Research To investigate the polygenicity of complex traits in populations of East Asian (EAS) and European (EUR) descents, we leveraged genome-wide data from Biobank Japan, UK Biobank, and FinnGen cohorts. Specifically, we analyzed up to 215 outcomes related to 18 health domains, assessing their polygenic architecture via descriptive statistics, such as the proportion of susceptibility SNPs per trait (π(c)). While we did not observe EAS–EUR differences in the overall distribution of polygenicity parameters across the phenotypes investigated, there were ancestry-specific patterns in the polygenicity differences between health domains. In EAS, pairwise comparisons across health domains showed enrichment for π(c) differences related to hematological and metabolic traits (hematological fold-enrichment = 4.45, p = 2.15 × 10(–7); metabolic fold-enrichment = 4.05, p = 4.01 × 10(–6)). For both categories, the proportion of susceptibility SNPs was lower than that observed for several other health domains (EAS-hematological median π(c) = 0.15%, EAS-metabolic median π(c) = 0.18%) with the strongest π(c) difference with respect to respiratory traits (EAS-respiratory median π(c) = 0.50%; hematological-p = 2.26 × 10(–3); metabolic-p = 3.48 × 10(–3)). In EUR, pairwise comparisons showed multiple π(c) differences related to the endocrine category (fold-enrichment = 5.83, p = 4.76 × 10(–6)), where these traits showed a low proportion of susceptibility SNPs (EUR-endocrine median π(c) = 0.01%) with the strongest difference with respect to psychiatric phenotypes (EUR-psychiatric median π(c) = 0.50%; p = 1.19 × 10(–4)). Simulating sample sizes of 1,000,000 and 5,000,000 individuals, we also showed that ancestry-specific polygenicity patterns translate into differences across health domains in the genetic variance explained by susceptibility SNPs projected to be genome-wide significant (e.g., EAS hematological-neoplasm p = 2.18 × 10(–4); EUR endocrine-gastrointestinal p = 6.80 × 10(–4)). These findings highlight that traits related to the same health domains may present ancestry-specific variability in their polygenicity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-023-00514-3. BioMed Central 2023-07-20 /pmc/articles/PMC10360343/ /pubmed/37475089 http://dx.doi.org/10.1186/s40246-023-00514-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
De Lillo, Antonella
Wendt, Frank R.
Pathak, Gita A.
Polimanti, Renato
Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
title Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
title_full Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
title_fullStr Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
title_full_unstemmed Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
title_short Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent
title_sort characterizing the polygenic architecture of complex traits in populations of east asian and european descent
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360343/
https://www.ncbi.nlm.nih.gov/pubmed/37475089
http://dx.doi.org/10.1186/s40246-023-00514-3
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