A fast non-parametric test of association for multiple traits

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• dc.contributor.author Garrido Martín, Diego, 1992-
• dc.contributor.author Calvo, Miquel (Calvo Llorca)
• dc.contributor.author Reverter, Ferran
• dc.contributor.author Guigó Serra, Roderic
• dc.date.accessioned 2023-12-01T06:57:19Z
• dc.date.available 2023-12-01T06:57:19Z
• dc.date.issued 2023
• dc.description.abstract The increasing availability of multidimensional phenotypic data in large cohorts of genotyped individuals requires efficient methods to identify genetic effects on multiple traits. Permutational multivariate analysis of variance (PERMANOVA) offers a powerful non-parametric approach. However, it relies on permutations to assess significance, which hinders the analysis of large datasets. Here, we derive the limiting null distribution of the PERMANOVA test statistic, providing a framework for the fast computation of asymptotic p values. Our asymptotic test presents controlled type I error and high power, often outperforming parametric approaches. We illustrate its applicability in the context of QTL mapping and GWAS.
• dc.format.mimetype application/pdf
• dc.identifier.citation Garrido-Martín D, Calvo M, Reverter F, Guigó R. A fast non-parametric test of association for multiple traits. Genome Biol. 2023 Oct 12;24(1):230. DOI: 10.1186/s13059-023-03076-8
• dc.identifier.doi http://dx.doi.org/10.1186/s13059-023-03076-8
• dc.identifier.issn 1474-7596
• dc.identifier.uri http://hdl.handle.net/10230/58419
• dc.language.iso eng
• dc.publisher BioMed Central
• dc.relation.ispartof Genome Biol. 2023 Oct 12;24(1):230
• dc.rights © The Author(s) 2023. 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/. 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.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.other Genomes
• dc.subject.other Biologia
• dc.title A fast non-parametric test of association for multiple traits
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion