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Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis
BACKGROUND: Gender differences in gene expression were estimated in liver samples from 9 males and 9 females. The study tested 31,110 genes for a gender difference using a design that adjusted for sources of variation associated with cDNA arrays, normalization, hybridizations and processing conditio...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637036/ https://www.ncbi.nlm.nih.gov/pubmed/16026598 http://dx.doi.org/10.1186/1471-2105-6-S2-S13 |
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author | Delongchamp, Robert R Velasco, Cruz Dial, Stacey Harris, Angela J |
author_facet | Delongchamp, Robert R Velasco, Cruz Dial, Stacey Harris, Angela J |
author_sort | Delongchamp, Robert R |
collection | PubMed |
description | BACKGROUND: Gender differences in gene expression were estimated in liver samples from 9 males and 9 females. The study tested 31,110 genes for a gender difference using a design that adjusted for sources of variation associated with cDNA arrays, normalization, hybridizations and processing conditions. RESULTS: The genes were split into 2,800 that were clearly expressed (expressed genes) and 28,310 that had expression levels in the background range (not expressed genes). The distribution of p-values from the 'not expressed' group was consistent with no gender differences. The distribution of p-values from the 'expressed' group suggested that 8 % of these genes differed by gender, but the estimated fold-changes (expression in males / expression in females) were small. The largest observed fold-change was 1.55. The 95 % confidence bounds on the estimated fold-changes were less than 1.4 fold for 79.3 %, and few (1.1%) exceed 2-fold. CONCLUSION: Observed gender differences in gene expression were small. When selecting genes with gender differences based upon their p-values, false discovery rates exceed 80 % for any set of genes, essentially making it impossible to identify any specific genes with a gender difference. |
format | Text |
id | pubmed-1637036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16370362006-11-16 Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis Delongchamp, Robert R Velasco, Cruz Dial, Stacey Harris, Angela J BMC Bioinformatics Proceedings BACKGROUND: Gender differences in gene expression were estimated in liver samples from 9 males and 9 females. The study tested 31,110 genes for a gender difference using a design that adjusted for sources of variation associated with cDNA arrays, normalization, hybridizations and processing conditions. RESULTS: The genes were split into 2,800 that were clearly expressed (expressed genes) and 28,310 that had expression levels in the background range (not expressed genes). The distribution of p-values from the 'not expressed' group was consistent with no gender differences. The distribution of p-values from the 'expressed' group suggested that 8 % of these genes differed by gender, but the estimated fold-changes (expression in males / expression in females) were small. The largest observed fold-change was 1.55. The 95 % confidence bounds on the estimated fold-changes were less than 1.4 fold for 79.3 %, and few (1.1%) exceed 2-fold. CONCLUSION: Observed gender differences in gene expression were small. When selecting genes with gender differences based upon their p-values, false discovery rates exceed 80 % for any set of genes, essentially making it impossible to identify any specific genes with a gender difference. BioMed Central 2005-07-15 /pmc/articles/PMC1637036/ /pubmed/16026598 http://dx.doi.org/10.1186/1471-2105-6-S2-S13 Text en Copyright © 2006 Delongchamp et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Delongchamp, Robert R Velasco, Cruz Dial, Stacey Harris, Angela J Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis |
title | Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis |
title_full | Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis |
title_fullStr | Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis |
title_full_unstemmed | Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis |
title_short | Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis |
title_sort | genome-wide estimation of gender differences in the gene expression of human livers: statistical design and analysis |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637036/ https://www.ncbi.nlm.nih.gov/pubmed/16026598 http://dx.doi.org/10.1186/1471-2105-6-S2-S13 |
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