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Comparing Quantitative Trait Loci and Gene Expression Data

We develop methods to compare the positions of quantitative trait loci (QTL) with a set of genes selected by other methods, such as microarray experiments, from a sequenced genome. We apply our methods to QTL for addictive behavior in mouse, and a set of genes upregulated in a region of the brain as...

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Detalles Bibliográficos
Autores principales: Han, Bing, Altman, Naomi S., Mong, Jessica A., Klein, Laura Cousino, Pfaff, Donald W., Vandenbergh, David J.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775685/
https://www.ncbi.nlm.nih.gov/pubmed/19920989
http://dx.doi.org/10.1155/2008/719818
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author Han, Bing
Altman, Naomi S.
Mong, Jessica A.
Klein, Laura Cousino
Pfaff, Donald W.
Vandenbergh, David J.
author_facet Han, Bing
Altman, Naomi S.
Mong, Jessica A.
Klein, Laura Cousino
Pfaff, Donald W.
Vandenbergh, David J.
author_sort Han, Bing
collection PubMed
description We develop methods to compare the positions of quantitative trait loci (QTL) with a set of genes selected by other methods, such as microarray experiments, from a sequenced genome. We apply our methods to QTL for addictive behavior in mouse, and a set of genes upregulated in a region of the brain associated with addictive behavior, the nucleus accumbens (NA). The association between the QTL and NA genes is not significantly stronger than expected by chance. However, chromosomes 2 and 16 do show strong associations suggesting that genes on these chromosomes might be associated with addictive behavior. The statistical methodology developed for this study can be applied to similar studies to assess the mutual information in microarray and QTL analyses.
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spelling pubmed-27756852009-11-17 Comparing Quantitative Trait Loci and Gene Expression Data Han, Bing Altman, Naomi S. Mong, Jessica A. Klein, Laura Cousino Pfaff, Donald W. Vandenbergh, David J. Adv Bioinformatics Research Article We develop methods to compare the positions of quantitative trait loci (QTL) with a set of genes selected by other methods, such as microarray experiments, from a sequenced genome. We apply our methods to QTL for addictive behavior in mouse, and a set of genes upregulated in a region of the brain associated with addictive behavior, the nucleus accumbens (NA). The association between the QTL and NA genes is not significantly stronger than expected by chance. However, chromosomes 2 and 16 do show strong associations suggesting that genes on these chromosomes might be associated with addictive behavior. The statistical methodology developed for this study can be applied to similar studies to assess the mutual information in microarray and QTL analyses. Hindawi Publishing Corporation 2008 2008-09-16 /pmc/articles/PMC2775685/ /pubmed/19920989 http://dx.doi.org/10.1155/2008/719818 Text en Copyright © 2008 Bing Han et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Han, Bing
Altman, Naomi S.
Mong, Jessica A.
Klein, Laura Cousino
Pfaff, Donald W.
Vandenbergh, David J.
Comparing Quantitative Trait Loci and Gene Expression Data
title Comparing Quantitative Trait Loci and Gene Expression Data
title_full Comparing Quantitative Trait Loci and Gene Expression Data
title_fullStr Comparing Quantitative Trait Loci and Gene Expression Data
title_full_unstemmed Comparing Quantitative Trait Loci and Gene Expression Data
title_short Comparing Quantitative Trait Loci and Gene Expression Data
title_sort comparing quantitative trait loci and gene expression data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775685/
https://www.ncbi.nlm.nih.gov/pubmed/19920989
http://dx.doi.org/10.1155/2008/719818
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