The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective

In a recent publication, Sood et al. (Genome Biol 16:185, 2015) presented a set of 150 probe sets that could be used in the diagnosis of Alzheimer’s disease (AD) based on gene expression. We reproduce some of their experiments and show that their signature is indeed able to discriminate between AD a...

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Autores principales: Jacob, Laurent, Speed, Terence P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060554/
https://www.ncbi.nlm.nih.gov/pubmed/30045771
http://dx.doi.org/10.1186/s13059-018-1481-6
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author Jacob, Laurent
Speed, Terence P.
author_facet Jacob, Laurent
Speed, Terence P.
author_sort Jacob, Laurent
collection PubMed
description In a recent publication, Sood et al. (Genome Biol 16:185, 2015) presented a set of 150 probe sets that could be used in the diagnosis of Alzheimer’s disease (AD) based on gene expression. We reproduce some of their experiments and show that their signature is indeed able to discriminate between AD and control patients using blood gene expression in two cohorts. We also show that its performance does not stand out compared to randomly sampled sets of 150 probe sets from the same array. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1481-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-60605542018-07-31 The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective Jacob, Laurent Speed, Terence P. Genome Biol Correspondence In a recent publication, Sood et al. (Genome Biol 16:185, 2015) presented a set of 150 probe sets that could be used in the diagnosis of Alzheimer’s disease (AD) based on gene expression. We reproduce some of their experiments and show that their signature is indeed able to discriminate between AD and control patients using blood gene expression in two cohorts. We also show that its performance does not stand out compared to randomly sampled sets of 150 probe sets from the same array. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1481-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-25 /pmc/articles/PMC6060554/ /pubmed/30045771 http://dx.doi.org/10.1186/s13059-018-1481-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Correspondence
Jacob, Laurent
Speed, Terence P.
The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
title The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
title_full The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
title_fullStr The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
title_full_unstemmed The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
title_short The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
title_sort healthy ageing gene expression signature for alzheimer’s disease diagnosis: a random sampling perspective
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060554/
https://www.ncbi.nlm.nih.gov/pubmed/30045771
http://dx.doi.org/10.1186/s13059-018-1481-6
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