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Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers

BACKGROUND: Risk of tumors of the breast, ovary, and meninges has been associated with hormonal factors and with one another. Genome-wide association studies (GWAS) identified a meningioma risk locus on 10p12 near previous GWAS hits for breast and ovarian cancers, raising the possibility of genetic...

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Autores principales: Walsh, Kyle M, Zhang, Chenan, Calvocoressi, Lisa, Hansen, Helen M, Berchuck, Andrew, Schildkraut, Joellen M, Bondy, Melissa L, Wrensch, Margaret, Wiemels, Joseph L, Claus, Elizabeth B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187056/
https://www.ncbi.nlm.nih.gov/pubmed/35702670
http://dx.doi.org/10.1093/noajnl/vdac044
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author Walsh, Kyle M
Zhang, Chenan
Calvocoressi, Lisa
Hansen, Helen M
Berchuck, Andrew
Schildkraut, Joellen M
Bondy, Melissa L
Wrensch, Margaret
Wiemels, Joseph L
Claus, Elizabeth B
author_facet Walsh, Kyle M
Zhang, Chenan
Calvocoressi, Lisa
Hansen, Helen M
Berchuck, Andrew
Schildkraut, Joellen M
Bondy, Melissa L
Wrensch, Margaret
Wiemels, Joseph L
Claus, Elizabeth B
author_sort Walsh, Kyle M
collection PubMed
description BACKGROUND: Risk of tumors of the breast, ovary, and meninges has been associated with hormonal factors and with one another. Genome-wide association studies (GWAS) identified a meningioma risk locus on 10p12 near previous GWAS hits for breast and ovarian cancers, raising the possibility of genetic pleiotropy. METHODS: We performed imputation-based fine-mapping in three case-control datasets of meningioma (927 cases, 790 controls), female breast cancer (28 108 cases, 22 209 controls), and ovarian cancer (25 509 cases, 40 941 controls). Analyses were stratified by sex (meningioma), estrogen receptor (ER) status (breast), and histotype (ovarian), then combined using subset-based meta-analysis in ASSET. Lead variants were assessed for association with additional traits in UK Biobank to identify potential effect-mediators. RESULTS: Two-sided subset-based meta-analysis identified rs7084454, an expression quantitative trait locus (eQTL) near the MLLT10 promoter, as lead variant (5.7 × 10(–14)). The minor allele was associated with increased risk of meningioma in females (odds ratio (OR) = 1.42, 95% Confidence Interval (95%CI):1.20–1.69), but not males (OR = 1.19, 95%CI: 0.91–1.57). It was positively associated with ovarian (OR = 1.09, 95%CI:1.06–1.12) and ER+ breast (OR = 1.05, 95%CI: 1.02–1.08) cancers, and negatively associated with ER– breast cancer (OR = 0.91, 95%CI: 0.86–0.96). It was also associated with several adiposity traits (P < 5.0 × 10(–8)), but adjusting for body mass index did not attenuate its association with meningioma. MLLT10 and ESR1 expression were positively correlated in normal meninges (P = .058) and meningioma tumors (P = .0065). CONCLUSIONS: We identify a MLLT10 eQTL positively associated with risk of female meningioma, ER+ breast cancer, ovarian cancer, and obesity, and implicate a potential estrogenic mechanism underlying this pleiotropy.
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spelling pubmed-91870562022-06-13 Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers Walsh, Kyle M Zhang, Chenan Calvocoressi, Lisa Hansen, Helen M Berchuck, Andrew Schildkraut, Joellen M Bondy, Melissa L Wrensch, Margaret Wiemels, Joseph L Claus, Elizabeth B Neurooncol Adv Basic and Translational Investigations BACKGROUND: Risk of tumors of the breast, ovary, and meninges has been associated with hormonal factors and with one another. Genome-wide association studies (GWAS) identified a meningioma risk locus on 10p12 near previous GWAS hits for breast and ovarian cancers, raising the possibility of genetic pleiotropy. METHODS: We performed imputation-based fine-mapping in three case-control datasets of meningioma (927 cases, 790 controls), female breast cancer (28 108 cases, 22 209 controls), and ovarian cancer (25 509 cases, 40 941 controls). Analyses were stratified by sex (meningioma), estrogen receptor (ER) status (breast), and histotype (ovarian), then combined using subset-based meta-analysis in ASSET. Lead variants were assessed for association with additional traits in UK Biobank to identify potential effect-mediators. RESULTS: Two-sided subset-based meta-analysis identified rs7084454, an expression quantitative trait locus (eQTL) near the MLLT10 promoter, as lead variant (5.7 × 10(–14)). The minor allele was associated with increased risk of meningioma in females (odds ratio (OR) = 1.42, 95% Confidence Interval (95%CI):1.20–1.69), but not males (OR = 1.19, 95%CI: 0.91–1.57). It was positively associated with ovarian (OR = 1.09, 95%CI:1.06–1.12) and ER+ breast (OR = 1.05, 95%CI: 1.02–1.08) cancers, and negatively associated with ER– breast cancer (OR = 0.91, 95%CI: 0.86–0.96). It was also associated with several adiposity traits (P < 5.0 × 10(–8)), but adjusting for body mass index did not attenuate its association with meningioma. MLLT10 and ESR1 expression were positively correlated in normal meninges (P = .058) and meningioma tumors (P = .0065). CONCLUSIONS: We identify a MLLT10 eQTL positively associated with risk of female meningioma, ER+ breast cancer, ovarian cancer, and obesity, and implicate a potential estrogenic mechanism underlying this pleiotropy. Oxford University Press 2022-04-15 /pmc/articles/PMC9187056/ /pubmed/35702670 http://dx.doi.org/10.1093/noajnl/vdac044 Text en © The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Basic and Translational Investigations
Walsh, Kyle M
Zhang, Chenan
Calvocoressi, Lisa
Hansen, Helen M
Berchuck, Andrew
Schildkraut, Joellen M
Bondy, Melissa L
Wrensch, Margaret
Wiemels, Joseph L
Claus, Elizabeth B
Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
title Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
title_full Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
title_fullStr Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
title_full_unstemmed Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
title_short Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers
title_sort pleiotropic mllt10 variation confers risk of meningioma and estrogen-mediated cancers
topic Basic and Translational Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187056/
https://www.ncbi.nlm.nih.gov/pubmed/35702670
http://dx.doi.org/10.1093/noajnl/vdac044
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