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Are females more variable than males in gene expression? Meta-analysis of microarray datasets
BACKGROUND: The majority of preclinical biomedical research involves studies of males rather than females. It is thought that researchers have avoided females based on the idea that female traits are more variable than those of males because of cyclic variation in effects of ovarian hormones. METHOD...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640155/ https://www.ncbi.nlm.nih.gov/pubmed/26557976 http://dx.doi.org/10.1186/s13293-015-0036-8 |
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author | Itoh, Yuichiro Arnold, Arthur P. |
author_facet | Itoh, Yuichiro Arnold, Arthur P. |
author_sort | Itoh, Yuichiro |
collection | PubMed |
description | BACKGROUND: The majority of preclinical biomedical research involves studies of males rather than females. It is thought that researchers have avoided females based on the idea that female traits are more variable than those of males because of cyclic variation in effects of ovarian hormones. METHODS: To test the assumption of inherently greater female variability, we analyzed 293 microarray datasets measuring gene expression in various tissues of mice and humans, comprising analysis of more than 5 million probes. RESULTS: Meta-analysis showed that on average, male gene expression is slightly more variable than that of females although the difference is small. We also tested if the X chromosome of humans shows greater variability in gene expression in males than in females, as might be expected because of hemizygous exposure of polymorphic X alleles but again found little sex difference. CONCLUSION: Our analysis supports and extends previous studies reporting no overall greater phenotypic variability in females. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13293-015-0036-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4640155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46401552015-11-11 Are females more variable than males in gene expression? Meta-analysis of microarray datasets Itoh, Yuichiro Arnold, Arthur P. Biol Sex Differ Research BACKGROUND: The majority of preclinical biomedical research involves studies of males rather than females. It is thought that researchers have avoided females based on the idea that female traits are more variable than those of males because of cyclic variation in effects of ovarian hormones. METHODS: To test the assumption of inherently greater female variability, we analyzed 293 microarray datasets measuring gene expression in various tissues of mice and humans, comprising analysis of more than 5 million probes. RESULTS: Meta-analysis showed that on average, male gene expression is slightly more variable than that of females although the difference is small. We also tested if the X chromosome of humans shows greater variability in gene expression in males than in females, as might be expected because of hemizygous exposure of polymorphic X alleles but again found little sex difference. CONCLUSION: Our analysis supports and extends previous studies reporting no overall greater phenotypic variability in females. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13293-015-0036-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-29 /pmc/articles/PMC4640155/ /pubmed/26557976 http://dx.doi.org/10.1186/s13293-015-0036-8 Text en © Itoh and Arnold. 2015 Open AccessThis 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 | Research Itoh, Yuichiro Arnold, Arthur P. Are females more variable than males in gene expression? Meta-analysis of microarray datasets |
title | Are females more variable than males in gene expression? Meta-analysis of microarray datasets |
title_full | Are females more variable than males in gene expression? Meta-analysis of microarray datasets |
title_fullStr | Are females more variable than males in gene expression? Meta-analysis of microarray datasets |
title_full_unstemmed | Are females more variable than males in gene expression? Meta-analysis of microarray datasets |
title_short | Are females more variable than males in gene expression? Meta-analysis of microarray datasets |
title_sort | are females more variable than males in gene expression? meta-analysis of microarray datasets |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640155/ https://www.ncbi.nlm.nih.gov/pubmed/26557976 http://dx.doi.org/10.1186/s13293-015-0036-8 |
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