Cargando…
Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women
INTRODUCTION: High mammographic density is an established breast cancer risk factor, and circulating oestrogen influences oestrogen-regulating gene expression in breast cancer development. However, less is known about the interrelationships of common variants in the CYP19A1 gene, daily levels of oes...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303212/ https://www.ncbi.nlm.nih.gov/pubmed/25522654 http://dx.doi.org/10.1186/s13058-014-0499-2 |
_version_ | 1782353907874267136 |
---|---|
author | Flote, Vidar G Furberg, Anne-Sofie McTiernan, Anne Frydenberg, Hanne Ursin, Giske Iversen, Anita Lofteroed, Trygve Ellison, Peter T Wist, Erik A Egeland, Thore Wilsgaard, Tom Makar, Karen W Chang-Claude, Jenny Thune, Inger |
author_facet | Flote, Vidar G Furberg, Anne-Sofie McTiernan, Anne Frydenberg, Hanne Ursin, Giske Iversen, Anita Lofteroed, Trygve Ellison, Peter T Wist, Erik A Egeland, Thore Wilsgaard, Tom Makar, Karen W Chang-Claude, Jenny Thune, Inger |
author_sort | Flote, Vidar G |
collection | PubMed |
description | INTRODUCTION: High mammographic density is an established breast cancer risk factor, and circulating oestrogen influences oestrogen-regulating gene expression in breast cancer development. However, less is known about the interrelationships of common variants in the CYP19A1 gene, daily levels of oestrogens, mammographic density phenotypes and body mass index (BMI) in premenopausal women. METHODS: Based on plausible biological mechanisms related to the oestrogen pathway, we investigated the association of single nucleotide polymorphisms (SNPs) in CYP19A1, 17β-estradiol and mammographic density in 202 premenopausal women. DNA was genotyped using the Illumina Golden Gate platform. Daily salivary 17β-estradiol concentrations were measured throughout an entire menstrual cycle. Mammographic density phenotypes were assessed using a computer-assisted method (Madena). We determined associations using multivariable linear and logistic regression models. RESULTS: The minor alleles of rs749292 were positively (P = 0.026), and the minor alleles of rs7172156 were inversely (P = 0.002) associated with daily 17β-estradiol. We observed an 87% lower level of daily 17β-estradiol throughout a menstrual cycle in heavier women (BMI >23.6 kg/m(2)) of rs7172156 with minor genotype aa compared with major genotype AA. Furthermore, the rs749292 minor alleles were inversely associated with absolute mammographic density (P = 0.032). Lean women with rs749292 minor alleles had 70 to 80% lower risk for high absolute mammographic density (>32.4 cm(2)); Aa: odds ratio (OR) = 0.23 (95% CI 0.07 to 0.75). Lean women with rs7172156 minor homozygous genotype had OR 5.45 for high absolute mammographic density (aa: OR = 5.45 (95% CI 1.13 to 26.3)). CONCLUSION: Our findings suggest that two SNPs in CYP19A1, rs749292 and rs7172156, are associated with both daily oestrogen levels and mammographic density phenotypes. BMI may modify these associations, but larger studies are needed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-014-0499-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4303212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43032122015-01-23 Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women Flote, Vidar G Furberg, Anne-Sofie McTiernan, Anne Frydenberg, Hanne Ursin, Giske Iversen, Anita Lofteroed, Trygve Ellison, Peter T Wist, Erik A Egeland, Thore Wilsgaard, Tom Makar, Karen W Chang-Claude, Jenny Thune, Inger Breast Cancer Res Research Article INTRODUCTION: High mammographic density is an established breast cancer risk factor, and circulating oestrogen influences oestrogen-regulating gene expression in breast cancer development. However, less is known about the interrelationships of common variants in the CYP19A1 gene, daily levels of oestrogens, mammographic density phenotypes and body mass index (BMI) in premenopausal women. METHODS: Based on plausible biological mechanisms related to the oestrogen pathway, we investigated the association of single nucleotide polymorphisms (SNPs) in CYP19A1, 17β-estradiol and mammographic density in 202 premenopausal women. DNA was genotyped using the Illumina Golden Gate platform. Daily salivary 17β-estradiol concentrations were measured throughout an entire menstrual cycle. Mammographic density phenotypes were assessed using a computer-assisted method (Madena). We determined associations using multivariable linear and logistic regression models. RESULTS: The minor alleles of rs749292 were positively (P = 0.026), and the minor alleles of rs7172156 were inversely (P = 0.002) associated with daily 17β-estradiol. We observed an 87% lower level of daily 17β-estradiol throughout a menstrual cycle in heavier women (BMI >23.6 kg/m(2)) of rs7172156 with minor genotype aa compared with major genotype AA. Furthermore, the rs749292 minor alleles were inversely associated with absolute mammographic density (P = 0.032). Lean women with rs749292 minor alleles had 70 to 80% lower risk for high absolute mammographic density (>32.4 cm(2)); Aa: odds ratio (OR) = 0.23 (95% CI 0.07 to 0.75). Lean women with rs7172156 minor homozygous genotype had OR 5.45 for high absolute mammographic density (aa: OR = 5.45 (95% CI 1.13 to 26.3)). CONCLUSION: Our findings suggest that two SNPs in CYP19A1, rs749292 and rs7172156, are associated with both daily oestrogen levels and mammographic density phenotypes. BMI may modify these associations, but larger studies are needed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-014-0499-2) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-19 2014 /pmc/articles/PMC4303212/ /pubmed/25522654 http://dx.doi.org/10.1186/s13058-014-0499-2 Text en © Flote et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Flote, Vidar G Furberg, Anne-Sofie McTiernan, Anne Frydenberg, Hanne Ursin, Giske Iversen, Anita Lofteroed, Trygve Ellison, Peter T Wist, Erik A Egeland, Thore Wilsgaard, Tom Makar, Karen W Chang-Claude, Jenny Thune, Inger Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
title | Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
title_full | Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
title_fullStr | Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
title_full_unstemmed | Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
title_short | Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
title_sort | gene variations in oestrogen pathways, cyp19a1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303212/ https://www.ncbi.nlm.nih.gov/pubmed/25522654 http://dx.doi.org/10.1186/s13058-014-0499-2 |
work_keys_str_mv | AT flotevidarg genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT furbergannesofie genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT mctiernananne genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT frydenberghanne genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT ursingiske genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT iversenanita genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT lofteroedtrygve genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT ellisonpetert genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT wisterika genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT egelandthore genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT wilsgaardtom genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT makarkarenw genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT changclaudejenny genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen AT thuneinger genevariationsinoestrogenpathwayscyp19a1daily17bestradiolandmammographicdensityphenotypesinpremenopausalwomen |