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Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry.
Wen, Wanqing; Shu, Xiao-Ou; Guo, Xingyi; Cai, Qiuyin; Long, Jirong; Bolla, Manjeet K; Michailidou, Kyriaki; Dennis, Joe; Wang, Qin; Gao, Yu-Tang; Zheng, Ying; Dunning, Alison M; García-Closas, Montserrat; Brennan, Paul; Chen, Shou-Tung; Choi, Ji-Yeob; Hartman, Mikael; Ito, Hidemi; Lophatananon, Artitaya; Matsuo, Keitaro; Miao, Hui; Muir, Kenneth; Sangrajrang, Suleeporn; Shen, Chen-Yang; Teo, Soo H; Tseng, Chiu-Chen; Wu, Anna H; Yip, Cheng Har; Simard, Jacques; Pharoah, Paul D P; Hall, Per; Kang, Daehee; Xiang, Yongbing; Easton, Douglas F; Zheng, Wei.
Afiliação
  • Wen W; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA. wanqing.wen@vanderbilt.edu.
  • Shu XO; Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 2525 West End Avenue, 8th Floor, Nashville, TN, 37203-1738, USA. wanqing.wen@vanderbilt.edu.
  • Guo X; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Cai Q; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Long J; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Bolla MK; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Michailidou K; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Dennis J; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Wang Q; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Gao YT; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Zheng Y; Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China.
  • Dunning AM; Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • García-Closas M; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Brennan P; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
  • Chen ST; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
  • Choi JY; International Agency for Research on Cancer, Lyon, France.
  • Hartman M; Department of Surgery, Changhua Christian Hospital, Changhua, Taiwan.
  • Ito H; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
  • Lophatananon A; Cancer Research Institute, Seoul National University, Seoul, Korea.
  • Matsuo K; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Miao H; Department of Surgery, National University Health System, Singapore, Singapore.
  • Muir K; Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
  • Sangrajrang S; Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK.
  • Shen CY; Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan.
  • Teo SH; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Tseng CC; Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK.
  • Wu AH; Institute of Population Health, University of Manchester, Manchester, UK.
  • Yip CH; National Cancer Institute, Bangkok, Thailand.
  • Simard J; School of Public Health, China Medical University, Taichung, Taiwan.
  • Pharoah PD; Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
  • Hall P; Cancer Research Initiatives Foundation, Subang Jaya, Selangor, Malaysia.
  • Kang D; Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
  • Xiang Y; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Easton DF; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Zheng W; Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Breast Cancer Res ; 18(1): 124, 2016 12 08.
Article em En | MEDLINE | ID: mdl-27931260
BACKGROUND: Approximately 100 common breast cancer susceptibility alleles have been identified in genome-wide association studies (GWAS). The utility of these variants in breast cancer risk prediction models has not been evaluated adequately in women of Asian ancestry. METHODS: We evaluated 88 breast cancer risk variants that were identified previously by GWAS in 11,760 cases and 11,612 controls of Asian ancestry. SNPs confirmed to be associated with breast cancer risk in Asian women were used to construct a polygenic risk score (PRS). The relative and absolute risks of breast cancer by the PRS percentiles were estimated based on the PRS distribution, and were used to stratify women into different levels of breast cancer risk. RESULTS: We confirmed significant associations with breast cancer risk for SNPs in 44 of the 78 previously reported loci at P < 0.05. Compared with women in the middle quintile of the PRS, women in the top 1% group had a 2.70-fold elevated risk of breast cancer (95% CI: 2.15-3.40). The risk prediction model with the PRS had an area under the receiver operating characteristic curve of 0.606. The lifetime risk of breast cancer for Shanghai Chinese women in the lowest and highest 1% of the PRS was 1.35% and 10.06%, respectively. CONCLUSION: Approximately one-half of GWAS-identified breast cancer risk variants can be directly replicated in East Asian women. Collectively, common genetic variants are important predictors for breast cancer risk. Using common genetic variants for breast cancer could help identify women at high risk of breast cancer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Neoplasias da Mama / Predisposição Genética para Doença / Povo Asiático / Estudos de Associação Genética Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Neoplasias da Mama / Predisposição Genética para Doença / Povo Asiático / Estudos de Associação Genética Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2016 Tipo de documento: Article