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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...

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Autores principales: Delongchamp, Robert R, Velasco, Cruz, Dial, Stacey, Harris, Angela J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
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.
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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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