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Joint study of genetic regulators for expression traits related to breast cancer

BACKGROUND: The mRNA expression levels of genes have been shown to have discriminating power for the classification of breast cancer. Studying the heritability of gene expression levels on breast cancer related transcripts can lead to the identification of shared common regulators and inter-regulati...

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Autores principales: Zheng, Tian, Wang, Shuang, Cong, Lei, Ding, Yuejing, Ionita-Laza, Iuliana, Lo, Shaw-Hwa
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367474/
https://www.ncbi.nlm.nih.gov/pubmed/18466439
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author Zheng, Tian
Wang, Shuang
Cong, Lei
Ding, Yuejing
Ionita-Laza, Iuliana
Lo, Shaw-Hwa
author_facet Zheng, Tian
Wang, Shuang
Cong, Lei
Ding, Yuejing
Ionita-Laza, Iuliana
Lo, Shaw-Hwa
author_sort Zheng, Tian
collection PubMed
description BACKGROUND: The mRNA expression levels of genes have been shown to have discriminating power for the classification of breast cancer. Studying the heritability of gene expression levels on breast cancer related transcripts can lead to the identification of shared common regulators and inter-regulation patterns, which would be important for dissecting the etiology of breast cancer. RESULTS: We applied multilocus association genome-wide scans to 18 breast cancer related transcripts and combined the results with traditional linkage scans. Regulatory hotspots for these transcripts were identified and some inter-regulation patterns were observed. We also derived evidence on interacting genetic regulatory loci shared by a number of these transcripts. CONCLUSION: In this paper, by restricting to a set of related genes, we were able to employ a more detailed multilocus approach that evaluates both marginal and interaction association signals at each single-nucleotide polymorphism. Interesting inter-regulation patterns and significant overlaps of genetic regulators between transcripts were observed. Interaction association results returned more expression quantitative trait locus hotspots that are significant.
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spelling pubmed-23674742008-05-06 Joint study of genetic regulators for expression traits related to breast cancer Zheng, Tian Wang, Shuang Cong, Lei Ding, Yuejing Ionita-Laza, Iuliana Lo, Shaw-Hwa BMC Proc Proceedings BACKGROUND: The mRNA expression levels of genes have been shown to have discriminating power for the classification of breast cancer. Studying the heritability of gene expression levels on breast cancer related transcripts can lead to the identification of shared common regulators and inter-regulation patterns, which would be important for dissecting the etiology of breast cancer. RESULTS: We applied multilocus association genome-wide scans to 18 breast cancer related transcripts and combined the results with traditional linkage scans. Regulatory hotspots for these transcripts were identified and some inter-regulation patterns were observed. We also derived evidence on interacting genetic regulatory loci shared by a number of these transcripts. CONCLUSION: In this paper, by restricting to a set of related genes, we were able to employ a more detailed multilocus approach that evaluates both marginal and interaction association signals at each single-nucleotide polymorphism. Interesting inter-regulation patterns and significant overlaps of genetic regulators between transcripts were observed. Interaction association results returned more expression quantitative trait locus hotspots that are significant. BioMed Central 2007-12-18 /pmc/articles/PMC2367474/ /pubmed/18466439 Text en Copyright © 2007 Zheng 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
Zheng, Tian
Wang, Shuang
Cong, Lei
Ding, Yuejing
Ionita-Laza, Iuliana
Lo, Shaw-Hwa
Joint study of genetic regulators for expression traits related to breast cancer
title Joint study of genetic regulators for expression traits related to breast cancer
title_full Joint study of genetic regulators for expression traits related to breast cancer
title_fullStr Joint study of genetic regulators for expression traits related to breast cancer
title_full_unstemmed Joint study of genetic regulators for expression traits related to breast cancer
title_short Joint study of genetic regulators for expression traits related to breast cancer
title_sort joint study of genetic regulators for expression traits related to breast cancer
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367474/
https://www.ncbi.nlm.nih.gov/pubmed/18466439
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