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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...

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Autores principales: Lee, Charmaine Pei Ling, Irwanto, Astrid, Salim, Agus, Yuan, Jian-min, Liu, Jianjun, Koh, Woon Puay, Hartman, Mikael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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