Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women

Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 case...

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Autores principales: Adedokun, Babatunde, Du, Zhaohui, Gao, Guimin, Ahearn, Thomas U., Lunetta, Kathryn L., Zirpoli, Gary, Figueroa, Jonine, John, Esther M., Bernstein, Leslie, Zheng, Wei, Hu, Jennifer J., Ziegler, Regina G., Nyante, Sarah, Bandera, Elisa V., Ingles, Sue A., Press, Michael F., Deming-Halverson, Sandra L., Rodriguez-Gil, Jorge L., Yao, Song, Ogundiran, Temidayo O., Ojengbede, Oladosu, Blot, William, Troester, Melissa A., Nathanson, Katherine L., Hennis, Anselm, Nemesure, Barbara, Ambs, Stefan, Fiorica, Peter N., Sucheston-Campbell, Lara E., Bensen, Jeannette T., Kushi, Lawrence H., Torres-Mejia, Gabriela, Hu, Donglei, Fejerman, Laura, Bolla, Manjeet K., Dennis, Joe, Dunning, Alison M., Easton, Douglas F., Michailidou, Kyriaki, Pharoah, Paul D. P., Wang, Qin, Sandler, Dale P., Taylor, Jack A., O’Brien, Katie M., Kitahara, Cari M., Falusi, Adeyinka G., Babalola, Chinedum, Yarney, Joel, Awuah, Baffour, Addai-Wiafe, Beatrice, Chanock, Stephen J., Olshan, Andrew F., Ambrosone, Christine B., Conti, David V., Ziv, Elad, Olopade, Olufunmilayo I., Garcia-Closas, Montserrat, Palmer, Julie R., Haiman, Christopher A., Huo, Dezheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263739/
https://www.ncbi.nlm.nih.gov/pubmed/34234117
http://dx.doi.org/10.1038/s41467-021-24327-x
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author Adedokun, Babatunde
Du, Zhaohui
Gao, Guimin
Ahearn, Thomas U.
Lunetta, Kathryn L.
Zirpoli, Gary
Figueroa, Jonine
John, Esther M.
Bernstein, Leslie
Zheng, Wei
Hu, Jennifer J.
Ziegler, Regina G.
Nyante, Sarah
Bandera, Elisa V.
Ingles, Sue A.
Press, Michael F.
Deming-Halverson, Sandra L.
Rodriguez-Gil, Jorge L.
Yao, Song
Ogundiran, Temidayo O.
Ojengbede, Oladosu
Blot, William
Troester, Melissa A.
Nathanson, Katherine L.
Hennis, Anselm
Nemesure, Barbara
Ambs, Stefan
Fiorica, Peter N.
Sucheston-Campbell, Lara E.
Bensen, Jeannette T.
Kushi, Lawrence H.
Torres-Mejia, Gabriela
Hu, Donglei
Fejerman, Laura
Bolla, Manjeet K.
Dennis, Joe
Dunning, Alison M.
Easton, Douglas F.
Michailidou, Kyriaki
Pharoah, Paul D. P.
Wang, Qin
Sandler, Dale P.
Taylor, Jack A.
O’Brien, Katie M.
Kitahara, Cari M.
Falusi, Adeyinka G.
Babalola, Chinedum
Yarney, Joel
Awuah, Baffour
Addai-Wiafe, Beatrice
Chanock, Stephen J.
Olshan, Andrew F.
Ambrosone, Christine B.
Conti, David V.
Ziv, Elad
Olopade, Olufunmilayo I.
Garcia-Closas, Montserrat
Palmer, Julie R.
Haiman, Christopher A.
Huo, Dezheng
author_facet Adedokun, Babatunde
Du, Zhaohui
Gao, Guimin
Ahearn, Thomas U.
Lunetta, Kathryn L.
Zirpoli, Gary
Figueroa, Jonine
John, Esther M.
Bernstein, Leslie
Zheng, Wei
Hu, Jennifer J.
Ziegler, Regina G.
Nyante, Sarah
Bandera, Elisa V.
Ingles, Sue A.
Press, Michael F.
Deming-Halverson, Sandra L.
Rodriguez-Gil, Jorge L.
Yao, Song
Ogundiran, Temidayo O.
Ojengbede, Oladosu
Blot, William
Troester, Melissa A.
Nathanson, Katherine L.
Hennis, Anselm
Nemesure, Barbara
Ambs, Stefan
Fiorica, Peter N.
Sucheston-Campbell, Lara E.
Bensen, Jeannette T.
Kushi, Lawrence H.
Torres-Mejia, Gabriela
Hu, Donglei
Fejerman, Laura
Bolla, Manjeet K.
Dennis, Joe
Dunning, Alison M.
Easton, Douglas F.
Michailidou, Kyriaki
Pharoah, Paul D. P.
Wang, Qin
Sandler, Dale P.
Taylor, Jack A.
O’Brien, Katie M.
Kitahara, Cari M.
Falusi, Adeyinka G.
Babalola, Chinedum
Yarney, Joel
Awuah, Baffour
Addai-Wiafe, Beatrice
Chanock, Stephen J.
Olshan, Andrew F.
Ambrosone, Christine B.
Conti, David V.
Ziv, Elad
Olopade, Olufunmilayo I.
Garcia-Closas, Montserrat
Palmer, Julie R.
Haiman, Christopher A.
Huo, Dezheng
author_sort Adedokun, Babatunde
collection PubMed
description Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 cases and 105974 controls) from the Breast Cancer Association Consortium. The approach identifies four loci for overall breast cancer risk [1p13.3, 5q31.1, 15q24 (two independent signals), and 15q26.3] and two loci for estrogen receptor-negative disease (1q41 and 7q11.23) at genome-wide significance. Four of the index single nucleotide polymorphisms (SNPs) lie within introns of genes (KCNK2, C5orf56, SCAMP2, and SIN3A) and the other index SNPs are located close to GSTM4, AMPD2, CASTOR2, and RP11-168G16.2. Here we present risk loci with consistent direction of associations in African and European descendants. The study suggests that replication across multiple ancestry populations can help improve the understanding of breast cancer genetics and identify causal variants.
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spelling pubmed-82637392021-07-23 Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women Adedokun, Babatunde Du, Zhaohui Gao, Guimin Ahearn, Thomas U. Lunetta, Kathryn L. Zirpoli, Gary Figueroa, Jonine John, Esther M. Bernstein, Leslie Zheng, Wei Hu, Jennifer J. Ziegler, Regina G. Nyante, Sarah Bandera, Elisa V. Ingles, Sue A. Press, Michael F. Deming-Halverson, Sandra L. Rodriguez-Gil, Jorge L. Yao, Song Ogundiran, Temidayo O. Ojengbede, Oladosu Blot, William Troester, Melissa A. Nathanson, Katherine L. Hennis, Anselm Nemesure, Barbara Ambs, Stefan Fiorica, Peter N. Sucheston-Campbell, Lara E. Bensen, Jeannette T. Kushi, Lawrence H. Torres-Mejia, Gabriela Hu, Donglei Fejerman, Laura Bolla, Manjeet K. Dennis, Joe Dunning, Alison M. Easton, Douglas F. Michailidou, Kyriaki Pharoah, Paul D. P. Wang, Qin Sandler, Dale P. Taylor, Jack A. O’Brien, Katie M. Kitahara, Cari M. Falusi, Adeyinka G. Babalola, Chinedum Yarney, Joel Awuah, Baffour Addai-Wiafe, Beatrice Chanock, Stephen J. Olshan, Andrew F. Ambrosone, Christine B. Conti, David V. Ziv, Elad Olopade, Olufunmilayo I. Garcia-Closas, Montserrat Palmer, Julie R. Haiman, Christopher A. Huo, Dezheng Nat Commun Article Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 cases and 105974 controls) from the Breast Cancer Association Consortium. The approach identifies four loci for overall breast cancer risk [1p13.3, 5q31.1, 15q24 (two independent signals), and 15q26.3] and two loci for estrogen receptor-negative disease (1q41 and 7q11.23) at genome-wide significance. Four of the index single nucleotide polymorphisms (SNPs) lie within introns of genes (KCNK2, C5orf56, SCAMP2, and SIN3A) and the other index SNPs are located close to GSTM4, AMPD2, CASTOR2, and RP11-168G16.2. Here we present risk loci with consistent direction of associations in African and European descendants. The study suggests that replication across multiple ancestry populations can help improve the understanding of breast cancer genetics and identify causal variants. Nature Publishing Group UK 2021-07-07 /pmc/articles/PMC8263739/ /pubmed/34234117 http://dx.doi.org/10.1038/s41467-021-24327-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Adedokun, Babatunde
Du, Zhaohui
Gao, Guimin
Ahearn, Thomas U.
Lunetta, Kathryn L.
Zirpoli, Gary
Figueroa, Jonine
John, Esther M.
Bernstein, Leslie
Zheng, Wei
Hu, Jennifer J.
Ziegler, Regina G.
Nyante, Sarah
Bandera, Elisa V.
Ingles, Sue A.
Press, Michael F.
Deming-Halverson, Sandra L.
Rodriguez-Gil, Jorge L.
Yao, Song
Ogundiran, Temidayo O.
Ojengbede, Oladosu
Blot, William
Troester, Melissa A.
Nathanson, Katherine L.
Hennis, Anselm
Nemesure, Barbara
Ambs, Stefan
Fiorica, Peter N.
Sucheston-Campbell, Lara E.
Bensen, Jeannette T.
Kushi, Lawrence H.
Torres-Mejia, Gabriela
Hu, Donglei
Fejerman, Laura
Bolla, Manjeet K.
Dennis, Joe
Dunning, Alison M.
Easton, Douglas F.
Michailidou, Kyriaki
Pharoah, Paul D. P.
Wang, Qin
Sandler, Dale P.
Taylor, Jack A.
O’Brien, Katie M.
Kitahara, Cari M.
Falusi, Adeyinka G.
Babalola, Chinedum
Yarney, Joel
Awuah, Baffour
Addai-Wiafe, Beatrice
Chanock, Stephen J.
Olshan, Andrew F.
Ambrosone, Christine B.
Conti, David V.
Ziv, Elad
Olopade, Olufunmilayo I.
Garcia-Closas, Montserrat
Palmer, Julie R.
Haiman, Christopher A.
Huo, Dezheng
Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
title Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
title_full Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
title_fullStr Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
title_full_unstemmed Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
title_short Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women
title_sort cross-ancestry gwas meta-analysis identifies six breast cancer loci in african and european ancestry women
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263739/
https://www.ncbi.nlm.nih.gov/pubmed/34234117
http://dx.doi.org/10.1038/s41467-021-24327-x
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