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Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population
INTRODUCTION: Genetic variants for breast cancer risk identified in genome-wide association studies (GWAS) in Western populations require further testing in Asian populations. A risk assessment model incorporating both validated genetic variants and established risk factors may improve its performan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4095592/ https://www.ncbi.nlm.nih.gov/pubmed/24941967 http://dx.doi.org/10.1186/bcr3678 |
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author | Lee, Charmaine Pei Ling Irwanto, Astrid Salim, Agus Yuan, Jian-min Liu, Jianjun Koh, Woon Puay Hartman, Mikael |
author_facet | Lee, Charmaine Pei Ling Irwanto, Astrid Salim, Agus Yuan, Jian-min Liu, Jianjun Koh, Woon Puay Hartman, Mikael |
author_sort | Lee, Charmaine Pei Ling |
collection | PubMed |
description | INTRODUCTION: Genetic variants for breast cancer risk identified in genome-wide association studies (GWAS) in Western populations require further testing in Asian populations. A risk assessment model incorporating both validated genetic variants and established risk factors may improve its performance in risk prediction of Asian women. METHODS: A nested case-control study of female breast cancer (411 cases and 1,212 controls) within the Singapore Chinese Health Study was conducted to investigate the effects of 51 genetic variants identified in previous GWAS on breast cancer risk. The independent effect of these genetic variants was assessed by creating a summed genetic risk score (GRS) after adjustment for body mass index and the Gail model risk factors for breast cancer. RESULTS: The GRS was an independent predictor of breast cancer risk in Chinese women. The multivariate-adjusted odds ratios (95% confidence intervals) of breast cancer for the second, third, and fourth quartiles of the GRS were 1.26 (0.90 to 1.76), 1.47 (1.06 to 2.04) and 1.75 (1.27 to 2.41) respectively (P for trend <0.001). In addition to established risk factors, the GRS improved the classification of 6.2% of women for their absolute risk of breast cancer in the next five years. CONCLUSIONS: Genetic variants on top of conventional risk factors can improve the risk prediction of breast cancer in Chinese women. |
format | Online Article Text |
id | pubmed-4095592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40955922014-07-14 Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population Lee, Charmaine Pei Ling Irwanto, Astrid Salim, Agus Yuan, Jian-min Liu, Jianjun Koh, Woon Puay Hartman, Mikael Breast Cancer Res Research Article INTRODUCTION: Genetic variants for breast cancer risk identified in genome-wide association studies (GWAS) in Western populations require further testing in Asian populations. A risk assessment model incorporating both validated genetic variants and established risk factors may improve its performance in risk prediction of Asian women. METHODS: A nested case-control study of female breast cancer (411 cases and 1,212 controls) within the Singapore Chinese Health Study was conducted to investigate the effects of 51 genetic variants identified in previous GWAS on breast cancer risk. The independent effect of these genetic variants was assessed by creating a summed genetic risk score (GRS) after adjustment for body mass index and the Gail model risk factors for breast cancer. RESULTS: The GRS was an independent predictor of breast cancer risk in Chinese women. The multivariate-adjusted odds ratios (95% confidence intervals) of breast cancer for the second, third, and fourth quartiles of the GRS were 1.26 (0.90 to 1.76), 1.47 (1.06 to 2.04) and 1.75 (1.27 to 2.41) respectively (P for trend <0.001). In addition to established risk factors, the GRS improved the classification of 6.2% of women for their absolute risk of breast cancer in the next five years. CONCLUSIONS: Genetic variants on top of conventional risk factors can improve the risk prediction of breast cancer in Chinese women. BioMed Central 2014 2014-06-18 /pmc/articles/PMC4095592/ /pubmed/24941967 http://dx.doi.org/10.1186/bcr3678 Text en Copyright © 2014 Lee et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lee, Charmaine Pei Ling Irwanto, Astrid Salim, Agus Yuan, Jian-min Liu, Jianjun Koh, Woon Puay Hartman, Mikael Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population |
title | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population |
title_full | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population |
title_fullStr | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population |
title_full_unstemmed | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population |
title_short | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population |
title_sort | breast cancer risk assessment using genetic variants and risk factors in a singapore chinese population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4095592/ https://www.ncbi.nlm.nih.gov/pubmed/24941967 http://dx.doi.org/10.1186/bcr3678 |
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