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Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium

The insulin/insulin-like growth factor (IGF) system and related pathways such as growth hormone, and leptin signaling have a key role in cancer development. It is unclear how germline variation in these pathways affects breast cancer risk. We conducted gene-based analyses of 184 genes in the insulin...

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Autores principales: Ruiz-Narváez, Edward A, Lunetta, Kathryn L, Hong, Chi-Chen, Haddad, Stephen, Yao, Song, Cheng, Ting-Yuan David, Bensen, Jeannette T, Bandera, Elisa V, Haiman, Christopher A, Troester, Melissa A, Ambrosone, Christine B, Rosenberg, Lynn, Palmer, Julie R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5142758/
https://www.ncbi.nlm.nih.gov/pubmed/27942580
http://dx.doi.org/10.1038/npjbcancer.2016.34
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author Ruiz-Narváez, Edward A
Lunetta, Kathryn L
Hong, Chi-Chen
Haddad, Stephen
Yao, Song
Cheng, Ting-Yuan David
Bensen, Jeannette T
Bandera, Elisa V
Haiman, Christopher A
Troester, Melissa A
Ambrosone, Christine B
Rosenberg, Lynn
Palmer, Julie R
author_facet Ruiz-Narváez, Edward A
Lunetta, Kathryn L
Hong, Chi-Chen
Haddad, Stephen
Yao, Song
Cheng, Ting-Yuan David
Bensen, Jeannette T
Bandera, Elisa V
Haiman, Christopher A
Troester, Melissa A
Ambrosone, Christine B
Rosenberg, Lynn
Palmer, Julie R
author_sort Ruiz-Narváez, Edward A
collection PubMed
description The insulin/insulin-like growth factor (IGF) system and related pathways such as growth hormone, and leptin signaling have a key role in cancer development. It is unclear how germline variation in these pathways affects breast cancer risk. We conducted gene-based analyses of 184 genes in the insulin/IGF, growth hormone, and leptin pathways to identify genetic variation associated with risk of breast cancer overall, and for estrogen receptor (ER) subtypes. Tag single-nucleotide polymorphisms (SNPs) for each gene were selected and genotyped on a customized Illumina SNP array. Imputation was carried out using 1000 Genomes haplotypes. The analysis included 91,627 SNPs genotyped or imputed in 3,663 breast cancer cases, (1,983 ER-positive and 1,098 ER-negative) and 4,687 controls from the African American Breast Cancer Epidemiology and Risk consortium, a collaborative project of four large studies of breast cancer in African-American women (Carolina Breast Cancer Study, Black Women's Health Study, Women's Circle of Health Study, and Multiethnic Cohort). We used a multi-locus adaptive joint test to determine the association of each gene with overall breast cancer and ER subtypes. The most significant gene associations (P⩽0.01) were BAIAP2 and CALM2 for overall breast cancer; BAIAP2 and CSNK2A1 for ER(+) breast cancer; and BRAF, BAD, and MAPK3 for ER(−) breast cancer. The association of BAD with ER(−) breast cancer was explained by a two-SNP risk model; all other associations were best explained by one-SNP risk models. In total, six genes and seven SNPs had suggestive associations with overall breast cancer or ER subtypes in African-American women.
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spelling pubmed-51427582016-12-07 Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium Ruiz-Narváez, Edward A Lunetta, Kathryn L Hong, Chi-Chen Haddad, Stephen Yao, Song Cheng, Ting-Yuan David Bensen, Jeannette T Bandera, Elisa V Haiman, Christopher A Troester, Melissa A Ambrosone, Christine B Rosenberg, Lynn Palmer, Julie R NPJ Breast Cancer Article The insulin/insulin-like growth factor (IGF) system and related pathways such as growth hormone, and leptin signaling have a key role in cancer development. It is unclear how germline variation in these pathways affects breast cancer risk. We conducted gene-based analyses of 184 genes in the insulin/IGF, growth hormone, and leptin pathways to identify genetic variation associated with risk of breast cancer overall, and for estrogen receptor (ER) subtypes. Tag single-nucleotide polymorphisms (SNPs) for each gene were selected and genotyped on a customized Illumina SNP array. Imputation was carried out using 1000 Genomes haplotypes. The analysis included 91,627 SNPs genotyped or imputed in 3,663 breast cancer cases, (1,983 ER-positive and 1,098 ER-negative) and 4,687 controls from the African American Breast Cancer Epidemiology and Risk consortium, a collaborative project of four large studies of breast cancer in African-American women (Carolina Breast Cancer Study, Black Women's Health Study, Women's Circle of Health Study, and Multiethnic Cohort). We used a multi-locus adaptive joint test to determine the association of each gene with overall breast cancer and ER subtypes. The most significant gene associations (P⩽0.01) were BAIAP2 and CALM2 for overall breast cancer; BAIAP2 and CSNK2A1 for ER(+) breast cancer; and BRAF, BAD, and MAPK3 for ER(−) breast cancer. The association of BAD with ER(−) breast cancer was explained by a two-SNP risk model; all other associations were best explained by one-SNP risk models. In total, six genes and seven SNPs had suggestive associations with overall breast cancer or ER subtypes in African-American women. Nature Publishing Group 2016-10-26 /pmc/articles/PMC5142758/ /pubmed/27942580 http://dx.doi.org/10.1038/npjbcancer.2016.34 Text en Copyright © 2016 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ruiz-Narváez, Edward A
Lunetta, Kathryn L
Hong, Chi-Chen
Haddad, Stephen
Yao, Song
Cheng, Ting-Yuan David
Bensen, Jeannette T
Bandera, Elisa V
Haiman, Christopher A
Troester, Melissa A
Ambrosone, Christine B
Rosenberg, Lynn
Palmer, Julie R
Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium
title Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium
title_full Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium
title_fullStr Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium
title_full_unstemmed Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium
title_short Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium
title_sort genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in african-american women: the amber consortium
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5142758/
https://www.ncbi.nlm.nih.gov/pubmed/27942580
http://dx.doi.org/10.1038/npjbcancer.2016.34
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