To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?

Excluding outlier plants (biological replicates deviating from the expected distribution on a multi-criteria basis) from phenotypic datasets is necessary to avoid false-positive associations between genome markers and traits.

Detalles Bibliográficos
Autores principales: Alvarez Prado, Santiago, Sanchez, Isabelle, Cabrera-Bosquet, Llorenç, Grau, Antonin, Welcker, Claude, Tardieu, François, Hilgert, Nadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685653/
https://www.ncbi.nlm.nih.gov/pubmed/31020325
http://dx.doi.org/10.1093/jxb/erz191
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author Alvarez Prado, Santiago
Sanchez, Isabelle
Cabrera-Bosquet, Llorenç
Grau, Antonin
Welcker, Claude
Tardieu, François
Hilgert, Nadine
author_facet Alvarez Prado, Santiago
Sanchez, Isabelle
Cabrera-Bosquet, Llorenç
Grau, Antonin
Welcker, Claude
Tardieu, François
Hilgert, Nadine
author_sort Alvarez Prado, Santiago
collection PubMed
description Excluding outlier plants (biological replicates deviating from the expected distribution on a multi-criteria basis) from phenotypic datasets is necessary to avoid false-positive associations between genome markers and traits.
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spelling pubmed-66856532019-08-12 To clean or not to clean phenotypic datasets for outlier plants in genetic analyses? Alvarez Prado, Santiago Sanchez, Isabelle Cabrera-Bosquet, Llorenç Grau, Antonin Welcker, Claude Tardieu, François Hilgert, Nadine J Exp Bot eXtra Botany Excluding outlier plants (biological replicates deviating from the expected distribution on a multi-criteria basis) from phenotypic datasets is necessary to avoid false-positive associations between genome markers and traits. Oxford University Press 2019-08-01 2019-04-25 /pmc/articles/PMC6685653/ /pubmed/31020325 http://dx.doi.org/10.1093/jxb/erz191 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle eXtra Botany
Alvarez Prado, Santiago
Sanchez, Isabelle
Cabrera-Bosquet, Llorenç
Grau, Antonin
Welcker, Claude
Tardieu, François
Hilgert, Nadine
To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
title To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
title_full To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
title_fullStr To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
title_full_unstemmed To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
title_short To clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
title_sort to clean or not to clean phenotypic datasets for outlier plants in genetic analyses?
topic eXtra Botany
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685653/
https://www.ncbi.nlm.nih.gov/pubmed/31020325
http://dx.doi.org/10.1093/jxb/erz191
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