Garrido Martín, Diego, 1992-Calvo, Miquel (Calvo Llorca)Reverter Comes, FerranGuigó Serra, Roderic2025-02-182025-02-182023-10-121474-7596https://hdl.handle.net/2445/218925The 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.32 p.application/pdfengcc-by (c) Garrido Martín, D. et al., 2023http://creativecommons.org/licenses/by/4.0/Anàlisi multivariableFenotipMultivariate analysisPhenotypeinfo:eu-repo/semantics/article7425452025-02-18info:eu-repo/semantics/openAccess