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Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility

Despite the central role of estrogen exposure in breast and endometrial cancer development and numerous studies of genes in the estrogen metabolic pathway, polymorphisms within the pathway have not been consistently associated with these cancers. We posit that this is due to the complexity of multip...

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Autores principales: Low, Yen Ling, Li, Yuqing, Humphreys, Keith, Thalamuthu, Anbupalam, Li, Yi, Darabi, Hatef, Wedrén, Sara, Bonnard, Carine, Czene, Kamila, Iles, Mark M., Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Nevanlinna, Heli, Hall, Per, Liu, Edison T., Liu, Jianjun
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2895650/
https://www.ncbi.nlm.nih.gov/pubmed/20617168
http://dx.doi.org/10.1371/journal.pgen.1001012
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author Low, Yen Ling
Li, Yuqing
Humphreys, Keith
Thalamuthu, Anbupalam
Li, Yi
Darabi, Hatef
Wedrén, Sara
Bonnard, Carine
Czene, Kamila
Iles, Mark M.
Heikkinen, Tuomas
Aittomäki, Kristiina
Blomqvist, Carl
Nevanlinna, Heli
Hall, Per
Liu, Edison T.
Liu, Jianjun
author_facet Low, Yen Ling
Li, Yuqing
Humphreys, Keith
Thalamuthu, Anbupalam
Li, Yi
Darabi, Hatef
Wedrén, Sara
Bonnard, Carine
Czene, Kamila
Iles, Mark M.
Heikkinen, Tuomas
Aittomäki, Kristiina
Blomqvist, Carl
Nevanlinna, Heli
Hall, Per
Liu, Edison T.
Liu, Jianjun
author_sort Low, Yen Ling
collection PubMed
description Despite the central role of estrogen exposure in breast and endometrial cancer development and numerous studies of genes in the estrogen metabolic pathway, polymorphisms within the pathway have not been consistently associated with these cancers. We posit that this is due to the complexity of multiple weak genetic effects within the metabolic pathway that can only be effectively detected through multi-variant analysis. We conducted a comprehensive association analysis of the estrogen metabolic pathway by interrogating 239 tagSNPs within 35 genes of the pathway in three tumor samples. The discovery sample consisted of 1,596 breast cancer cases, 719 endometrial cancer cases, and 1,730 controls from Sweden; and the validation sample included 2,245 breast cancer cases and 1,287 controls from Finland. We performed admixture maximum likelihood (AML)–based global tests to evaluate the cumulative effect from multiple SNPs within the whole metabolic pathway and three sub-pathways for androgen synthesis, androgen-to-estrogen conversion, and estrogen removal. In the discovery sample, although no single polymorphism was significant after correction for multiple testing, the pathway-based AML global test suggested association with both breast (p (global) = 0.034) and endometrial (p (global) = 0.052) cancers. Further testing revealed the association to be focused on polymorphisms within the androgen-to-estrogen conversion sub-pathway, for both breast (p (global) = 0.008) and endometrial cancer (p (global) = 0.014). The sub-pathway association was validated in the Finnish sample of breast cancer (p (global) = 0.015). Further tumor subtype analysis demonstrated that the association of the androgen-to-estrogen conversion sub-pathway was confined to postmenopausal women with sporadic estrogen receptor positive tumors (p (global) = 0.0003). Gene-based AML analysis suggested CYP19A1 and UGT2B4 to be the major players within the sub-pathway. Our study indicates that the composite genetic determinants related to the androgen–estrogen conversion are important for the induction of two hormone-associated cancers, particularly for the hormone-driven breast tumour subtypes.
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spelling pubmed-28956502010-07-08 Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility Low, Yen Ling Li, Yuqing Humphreys, Keith Thalamuthu, Anbupalam Li, Yi Darabi, Hatef Wedrén, Sara Bonnard, Carine Czene, Kamila Iles, Mark M. Heikkinen, Tuomas Aittomäki, Kristiina Blomqvist, Carl Nevanlinna, Heli Hall, Per Liu, Edison T. Liu, Jianjun PLoS Genet Research Article Despite the central role of estrogen exposure in breast and endometrial cancer development and numerous studies of genes in the estrogen metabolic pathway, polymorphisms within the pathway have not been consistently associated with these cancers. We posit that this is due to the complexity of multiple weak genetic effects within the metabolic pathway that can only be effectively detected through multi-variant analysis. We conducted a comprehensive association analysis of the estrogen metabolic pathway by interrogating 239 tagSNPs within 35 genes of the pathway in three tumor samples. The discovery sample consisted of 1,596 breast cancer cases, 719 endometrial cancer cases, and 1,730 controls from Sweden; and the validation sample included 2,245 breast cancer cases and 1,287 controls from Finland. We performed admixture maximum likelihood (AML)–based global tests to evaluate the cumulative effect from multiple SNPs within the whole metabolic pathway and three sub-pathways for androgen synthesis, androgen-to-estrogen conversion, and estrogen removal. In the discovery sample, although no single polymorphism was significant after correction for multiple testing, the pathway-based AML global test suggested association with both breast (p (global) = 0.034) and endometrial (p (global) = 0.052) cancers. Further testing revealed the association to be focused on polymorphisms within the androgen-to-estrogen conversion sub-pathway, for both breast (p (global) = 0.008) and endometrial cancer (p (global) = 0.014). The sub-pathway association was validated in the Finnish sample of breast cancer (p (global) = 0.015). Further tumor subtype analysis demonstrated that the association of the androgen-to-estrogen conversion sub-pathway was confined to postmenopausal women with sporadic estrogen receptor positive tumors (p (global) = 0.0003). Gene-based AML analysis suggested CYP19A1 and UGT2B4 to be the major players within the sub-pathway. Our study indicates that the composite genetic determinants related to the androgen–estrogen conversion are important for the induction of two hormone-associated cancers, particularly for the hormone-driven breast tumour subtypes. Public Library of Science 2010-07-01 /pmc/articles/PMC2895650/ /pubmed/20617168 http://dx.doi.org/10.1371/journal.pgen.1001012 Text en Low et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Low, Yen Ling
Li, Yuqing
Humphreys, Keith
Thalamuthu, Anbupalam
Li, Yi
Darabi, Hatef
Wedrén, Sara
Bonnard, Carine
Czene, Kamila
Iles, Mark M.
Heikkinen, Tuomas
Aittomäki, Kristiina
Blomqvist, Carl
Nevanlinna, Heli
Hall, Per
Liu, Edison T.
Liu, Jianjun
Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility
title Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility
title_full Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility
title_fullStr Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility
title_full_unstemmed Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility
title_short Multi-Variant Pathway Association Analysis Reveals the Importance of Genetic Determinants of Estrogen Metabolism in Breast and Endometrial Cancer Susceptibility
title_sort multi-variant pathway association analysis reveals the importance of genetic determinants of estrogen metabolism in breast and endometrial cancer susceptibility
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2895650/
https://www.ncbi.nlm.nih.gov/pubmed/20617168
http://dx.doi.org/10.1371/journal.pgen.1001012
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