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A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density

INTRODUCTION: Mammographic density is an established breast cancer risk factor with a strong genetic component and can be increased in women using menopausal hormone therapy (MHT). Here, we aimed to identify genetic variants that may modify the association between MHT use and mammographic density. M...

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Autores principales: Rudolph, Anja, Fasching, Peter A., Behrens, Sabine, Eilber, Ursula, Bolla, Manjeet K., Wang, Qin, Thompson, Deborah, Czene, Kamila, Brand, Judith S., Li, Jingmei, Scott, Christopher, Pankratz, V. Shane, Brandt, Kathleen, Hallberg, Emily, Olson, Janet E., Lee, Adam, Beckmann, Matthias W., Ekici, Arif B., Haeberle, Lothar, Maskarinec, Gertraud, Le Marchand, Loic, Schumacher, Fredrick, Milne, Roger L., Knight, Julia A., Apicella, Carmel, Southey, Melissa C., Kapuscinski, Miroslav K., Hopper, John L., Andrulis, Irene L., Giles, Graham G., Haiman, Christopher A., Khaw, Kay-Tee, Luben, Robert, Hall, Per, Pharoah, Paul D. P., Couch, Fergus J., Easton, Douglas F., dos-Santos-Silva, Isabel, Vachon, Celine, Chang-Claude, Jenny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537547/
https://www.ncbi.nlm.nih.gov/pubmed/26275715
http://dx.doi.org/10.1186/s13058-015-0625-9
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author Rudolph, Anja
Fasching, Peter A.
Behrens, Sabine
Eilber, Ursula
Bolla, Manjeet K.
Wang, Qin
Thompson, Deborah
Czene, Kamila
Brand, Judith S.
Li, Jingmei
Scott, Christopher
Pankratz, V. Shane
Brandt, Kathleen
Hallberg, Emily
Olson, Janet E.
Lee, Adam
Beckmann, Matthias W.
Ekici, Arif B.
Haeberle, Lothar
Maskarinec, Gertraud
Le Marchand, Loic
Schumacher, Fredrick
Milne, Roger L.
Knight, Julia A.
Apicella, Carmel
Southey, Melissa C.
Kapuscinski, Miroslav K.
Hopper, John L.
Andrulis, Irene L.
Giles, Graham G.
Haiman, Christopher A.
Khaw, Kay-Tee
Luben, Robert
Hall, Per
Pharoah, Paul D. P.
Couch, Fergus J.
Easton, Douglas F.
dos-Santos-Silva, Isabel
Vachon, Celine
Chang-Claude, Jenny
author_facet Rudolph, Anja
Fasching, Peter A.
Behrens, Sabine
Eilber, Ursula
Bolla, Manjeet K.
Wang, Qin
Thompson, Deborah
Czene, Kamila
Brand, Judith S.
Li, Jingmei
Scott, Christopher
Pankratz, V. Shane
Brandt, Kathleen
Hallberg, Emily
Olson, Janet E.
Lee, Adam
Beckmann, Matthias W.
Ekici, Arif B.
Haeberle, Lothar
Maskarinec, Gertraud
Le Marchand, Loic
Schumacher, Fredrick
Milne, Roger L.
Knight, Julia A.
Apicella, Carmel
Southey, Melissa C.
Kapuscinski, Miroslav K.
Hopper, John L.
Andrulis, Irene L.
Giles, Graham G.
Haiman, Christopher A.
Khaw, Kay-Tee
Luben, Robert
Hall, Per
Pharoah, Paul D. P.
Couch, Fergus J.
Easton, Douglas F.
dos-Santos-Silva, Isabel
Vachon, Celine
Chang-Claude, Jenny
author_sort Rudolph, Anja
collection PubMed
description INTRODUCTION: Mammographic density is an established breast cancer risk factor with a strong genetic component and can be increased in women using menopausal hormone therapy (MHT). Here, we aimed to identify genetic variants that may modify the association between MHT use and mammographic density. METHODS: The study comprised 6,298 postmenopausal women from the Mayo Mammography Health Study and nine studies included in the Breast Cancer Association Consortium. We selected for evaluation 1327 single nucleotide polymorphisms (SNPs) showing the lowest P-values for interaction (P(int)) in a meta-analysis of genome-wide gene-environment interaction studies with MHT use on risk of breast cancer, 2541 SNPs in candidate genes (AKR1C4, CYP1A1-CYP1A2, CYP1B1, ESR2, PPARG, PRL, SULT1A1-SULT1A2 and TNF) and ten SNPs (AREG-rs10034692, PRDM6-rs186749, ESR1-rs12665607, ZNF365-rs10995190, 8p11.23-rs7816345, LSP1-rs3817198, IGF1-rs703556, 12q24-rs1265507, TMEM184B-rs7289126, and SGSM3-rs17001868) associated with mammographic density in genome-wide studies. We used multiple linear regression models adjusted for potential confounders to evaluate interactions between SNPs and current use of MHT on mammographic density. RESULTS: No significant interactions were identified after adjustment for multiple testing. The strongest SNP-MHT interaction (unadjusted P(int) <0.0004) was observed with rs9358531 6.5kb 5′ of PRL. Furthermore, three SNPs in PLCG2 that had previously been shown to modify the association of MHT use with breast cancer risk were found to modify also the association of MHT use with mammographic density (unadjusted P(int) <0.002), but solely among cases (unadjusted P(int) SNP×MHT×case-status <0.02). CONCLUSIONS: The study identified potential interactions on mammographic density between current use of MHT and SNPs near PRL and in PLCG2, which require confirmation. Given the moderate size of the interactions observed, larger studies are needed to identify genetic modifiers of the association of MHT use with mammographic density. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-015-0625-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45375472015-08-16 A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density Rudolph, Anja Fasching, Peter A. Behrens, Sabine Eilber, Ursula Bolla, Manjeet K. Wang, Qin Thompson, Deborah Czene, Kamila Brand, Judith S. Li, Jingmei Scott, Christopher Pankratz, V. Shane Brandt, Kathleen Hallberg, Emily Olson, Janet E. Lee, Adam Beckmann, Matthias W. Ekici, Arif B. Haeberle, Lothar Maskarinec, Gertraud Le Marchand, Loic Schumacher, Fredrick Milne, Roger L. Knight, Julia A. Apicella, Carmel Southey, Melissa C. Kapuscinski, Miroslav K. Hopper, John L. Andrulis, Irene L. Giles, Graham G. Haiman, Christopher A. Khaw, Kay-Tee Luben, Robert Hall, Per Pharoah, Paul D. P. Couch, Fergus J. Easton, Douglas F. dos-Santos-Silva, Isabel Vachon, Celine Chang-Claude, Jenny Breast Cancer Res Research Article INTRODUCTION: Mammographic density is an established breast cancer risk factor with a strong genetic component and can be increased in women using menopausal hormone therapy (MHT). Here, we aimed to identify genetic variants that may modify the association between MHT use and mammographic density. METHODS: The study comprised 6,298 postmenopausal women from the Mayo Mammography Health Study and nine studies included in the Breast Cancer Association Consortium. We selected for evaluation 1327 single nucleotide polymorphisms (SNPs) showing the lowest P-values for interaction (P(int)) in a meta-analysis of genome-wide gene-environment interaction studies with MHT use on risk of breast cancer, 2541 SNPs in candidate genes (AKR1C4, CYP1A1-CYP1A2, CYP1B1, ESR2, PPARG, PRL, SULT1A1-SULT1A2 and TNF) and ten SNPs (AREG-rs10034692, PRDM6-rs186749, ESR1-rs12665607, ZNF365-rs10995190, 8p11.23-rs7816345, LSP1-rs3817198, IGF1-rs703556, 12q24-rs1265507, TMEM184B-rs7289126, and SGSM3-rs17001868) associated with mammographic density in genome-wide studies. We used multiple linear regression models adjusted for potential confounders to evaluate interactions between SNPs and current use of MHT on mammographic density. RESULTS: No significant interactions were identified after adjustment for multiple testing. The strongest SNP-MHT interaction (unadjusted P(int) <0.0004) was observed with rs9358531 6.5kb 5′ of PRL. Furthermore, three SNPs in PLCG2 that had previously been shown to modify the association of MHT use with breast cancer risk were found to modify also the association of MHT use with mammographic density (unadjusted P(int) <0.002), but solely among cases (unadjusted P(int) SNP×MHT×case-status <0.02). CONCLUSIONS: The study identified potential interactions on mammographic density between current use of MHT and SNPs near PRL and in PLCG2, which require confirmation. Given the moderate size of the interactions observed, larger studies are needed to identify genetic modifiers of the association of MHT use with mammographic density. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-015-0625-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-16 2015 /pmc/articles/PMC4537547/ /pubmed/26275715 http://dx.doi.org/10.1186/s13058-015-0625-9 Text en © Rudolph et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rudolph, Anja
Fasching, Peter A.
Behrens, Sabine
Eilber, Ursula
Bolla, Manjeet K.
Wang, Qin
Thompson, Deborah
Czene, Kamila
Brand, Judith S.
Li, Jingmei
Scott, Christopher
Pankratz, V. Shane
Brandt, Kathleen
Hallberg, Emily
Olson, Janet E.
Lee, Adam
Beckmann, Matthias W.
Ekici, Arif B.
Haeberle, Lothar
Maskarinec, Gertraud
Le Marchand, Loic
Schumacher, Fredrick
Milne, Roger L.
Knight, Julia A.
Apicella, Carmel
Southey, Melissa C.
Kapuscinski, Miroslav K.
Hopper, John L.
Andrulis, Irene L.
Giles, Graham G.
Haiman, Christopher A.
Khaw, Kay-Tee
Luben, Robert
Hall, Per
Pharoah, Paul D. P.
Couch, Fergus J.
Easton, Douglas F.
dos-Santos-Silva, Isabel
Vachon, Celine
Chang-Claude, Jenny
A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
title A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
title_full A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
title_fullStr A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
title_full_unstemmed A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
title_short A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
title_sort comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537547/
https://www.ncbi.nlm.nih.gov/pubmed/26275715
http://dx.doi.org/10.1186/s13058-015-0625-9
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