Common variants in breast cancer risk loci predispose to distinct tumor subtypes

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Common variants in breast cancer risk loci predispose to distinct tumor subtypes. / Ahearn, Thomas U.; Zhang, Haoyu; Michailidou, Kyriaki; Milne, Roger L.; Bolla, Manjeet K.; Dennis, Joe; Dunning, Alison M.; Lush, Michael; Wang, Qin; Andrulis, Irene L.; Anton-Culver, Hoda; Arndt, Volker; Aronson, Kristan J.; Auer, Paul L.; Augustinsson, Annelie; Baten, Adinda; Becher, Heiko; Behrens, Sabine; Benitez, Javier; Bermisheva, Marina; Blomqvist, Carl; Bojesen, Stig E.; Bonanni, Bernardo; Børresen-Dale, Anne Lise; Brauch, Hiltrud; Brenner, Hermann; Brooks-Wilson, Angela; Brüning, Thomas; Burwinkel, Barbara; Buys, Saundra S.; Canzian, Federico; Castelao, Jose E.; Chang-Claude, Jenny; Chanock, Stephen J.; Chenevix-Trench, Georgia; Clarke, Christine L.; Sahlberg, Kristine K.; Ottestad, Lars; Kåresen, Rolf; Schlichting, Ellen; Holmen, Marit Muri; Sauer, Toril; Haakensen, Vilde; Engebråten, Olav; Naume, Bjørn; Fosså, Alexander; Kiserud, Cecile E.; Reinertsen, Kristin V.; Helland, Åslaug; Riis, Margit; kConFab/AOCS Investigators; NBCS Collaborators; ABCTB Investigators.

I: Breast Cancer Research, Bind 24, Nr. 1, 2, 2022.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Børresen-Dale, AL, Brauch, H, Brenner, H, Brooks-Wilson, A, Brüning, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, kConFab/AOCS Investigators, NBCS Collaborators & ABCTB Investigators 2022, 'Common variants in breast cancer risk loci predispose to distinct tumor subtypes', Breast Cancer Research, bind 24, nr. 1, 2. https://doi.org/10.1186/s13058-021-01484-x

APA

Ahearn, T. U., Zhang, H., Michailidou, K., Milne, R. L., Bolla, M. K., Dennis, J., Dunning, A. M., Lush, M., Wang, Q., Andrulis, I. L., Anton-Culver, H., Arndt, V., Aronson, K. J., Auer, P. L., Augustinsson, A., Baten, A., Becher, H., Behrens, S., Benitez, J., ... ABCTB Investigators (2022). Common variants in breast cancer risk loci predispose to distinct tumor subtypes. Breast Cancer Research, 24(1), [2]. https://doi.org/10.1186/s13058-021-01484-x

Vancouver

Ahearn TU, Zhang H, Michailidou K, Milne RL, Bolla MK, Dennis J o.a. Common variants in breast cancer risk loci predispose to distinct tumor subtypes. Breast Cancer Research. 2022;24(1). 2. https://doi.org/10.1186/s13058-021-01484-x

Author

Ahearn, Thomas U. ; Zhang, Haoyu ; Michailidou, Kyriaki ; Milne, Roger L. ; Bolla, Manjeet K. ; Dennis, Joe ; Dunning, Alison M. ; Lush, Michael ; Wang, Qin ; Andrulis, Irene L. ; Anton-Culver, Hoda ; Arndt, Volker ; Aronson, Kristan J. ; Auer, Paul L. ; Augustinsson, Annelie ; Baten, Adinda ; Becher, Heiko ; Behrens, Sabine ; Benitez, Javier ; Bermisheva, Marina ; Blomqvist, Carl ; Bojesen, Stig E. ; Bonanni, Bernardo ; Børresen-Dale, Anne Lise ; Brauch, Hiltrud ; Brenner, Hermann ; Brooks-Wilson, Angela ; Brüning, Thomas ; Burwinkel, Barbara ; Buys, Saundra S. ; Canzian, Federico ; Castelao, Jose E. ; Chang-Claude, Jenny ; Chanock, Stephen J. ; Chenevix-Trench, Georgia ; Clarke, Christine L. ; Sahlberg, Kristine K. ; Ottestad, Lars ; Kåresen, Rolf ; Schlichting, Ellen ; Holmen, Marit Muri ; Sauer, Toril ; Haakensen, Vilde ; Engebråten, Olav ; Naume, Bjørn ; Fosså, Alexander ; Kiserud, Cecile E. ; Reinertsen, Kristin V. ; Helland, Åslaug ; Riis, Margit ; kConFab/AOCS Investigators ; NBCS Collaborators ; ABCTB Investigators. / Common variants in breast cancer risk loci predispose to distinct tumor subtypes. I: Breast Cancer Research. 2022 ; Bind 24, Nr. 1.

Bibtex

@article{aae042b9cac34a57b965cde5c5039fd3,
title = "Common variants in breast cancer risk loci predispose to distinct tumor subtypes",
abstract = "Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.",
keywords = "Breast cancer, Common breast cancer susceptibility variants, Etiologic heterogeneity, Genetic predisposition",
author = "Ahearn, {Thomas U.} and Haoyu Zhang and Kyriaki Michailidou and Milne, {Roger L.} and Bolla, {Manjeet K.} and Joe Dennis and Dunning, {Alison M.} and Michael Lush and Qin Wang and Andrulis, {Irene L.} and Hoda Anton-Culver and Volker Arndt and Aronson, {Kristan J.} and Auer, {Paul L.} and Annelie Augustinsson and Adinda Baten and Heiko Becher and Sabine Behrens and Javier Benitez and Marina Bermisheva and Carl Blomqvist and Bojesen, {Stig E.} and Bernardo Bonanni and B{\o}rresen-Dale, {Anne Lise} and Hiltrud Brauch and Hermann Brenner and Angela Brooks-Wilson and Thomas Br{\"u}ning and Barbara Burwinkel and Buys, {Saundra S.} and Federico Canzian and Castelao, {Jose E.} and Jenny Chang-Claude and Chanock, {Stephen J.} and Georgia Chenevix-Trench and Clarke, {Christine L.} and Sahlberg, {Kristine K.} and Lars Ottestad and Rolf K{\aa}resen and Ellen Schlichting and Holmen, {Marit Muri} and Toril Sauer and Vilde Haakensen and Olav Engebr{\aa}ten and Bj{\o}rn Naume and Alexander Foss{\aa} and Kiserud, {Cecile E.} and Reinertsen, {Kristin V.} and {\AA}slaug Helland and Margit Riis and {kConFab/AOCS Investigators} and {NBCS Collaborators} and {ABCTB Investigators}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2022",
doi = "10.1186/s13058-021-01484-x",
language = "English",
volume = "24",
journal = "Breast Cancer Research",
issn = "1465-5411",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Common variants in breast cancer risk loci predispose to distinct tumor subtypes

AU - Ahearn, Thomas U.

AU - Zhang, Haoyu

AU - Michailidou, Kyriaki

AU - Milne, Roger L.

AU - Bolla, Manjeet K.

AU - Dennis, Joe

AU - Dunning, Alison M.

AU - Lush, Michael

AU - Wang, Qin

AU - Andrulis, Irene L.

AU - Anton-Culver, Hoda

AU - Arndt, Volker

AU - Aronson, Kristan J.

AU - Auer, Paul L.

AU - Augustinsson, Annelie

AU - Baten, Adinda

AU - Becher, Heiko

AU - Behrens, Sabine

AU - Benitez, Javier

AU - Bermisheva, Marina

AU - Blomqvist, Carl

AU - Bojesen, Stig E.

AU - Bonanni, Bernardo

AU - Børresen-Dale, Anne Lise

AU - Brauch, Hiltrud

AU - Brenner, Hermann

AU - Brooks-Wilson, Angela

AU - Brüning, Thomas

AU - Burwinkel, Barbara

AU - Buys, Saundra S.

AU - Canzian, Federico

AU - Castelao, Jose E.

AU - Chang-Claude, Jenny

AU - Chanock, Stephen J.

AU - Chenevix-Trench, Georgia

AU - Clarke, Christine L.

AU - Sahlberg, Kristine K.

AU - Ottestad, Lars

AU - Kåresen, Rolf

AU - Schlichting, Ellen

AU - Holmen, Marit Muri

AU - Sauer, Toril

AU - Haakensen, Vilde

AU - Engebråten, Olav

AU - Naume, Bjørn

AU - Fosså, Alexander

AU - Kiserud, Cecile E.

AU - Reinertsen, Kristin V.

AU - Helland, Åslaug

AU - Riis, Margit

AU - kConFab/AOCS Investigators

AU - NBCS Collaborators

AU - ABCTB Investigators

N1 - Publisher Copyright: © 2021, The Author(s).

PY - 2022

Y1 - 2022

N2 - Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

AB - Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

KW - Breast cancer

KW - Common breast cancer susceptibility variants

KW - Etiologic heterogeneity

KW - Genetic predisposition

U2 - 10.1186/s13058-021-01484-x

DO - 10.1186/s13058-021-01484-x

M3 - Journal article

C2 - 34983606

AN - SCOPUS:85122468719

VL - 24

JO - Breast Cancer Research

JF - Breast Cancer Research

SN - 1465-5411

IS - 1

M1 - 2

ER -

ID: 290253584