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[Application values of genome-wide association studies in screening for breast cancer].
Huang, Y B; Song, F J; Chen, K X.
Affiliation
  • Huang YB; Department of Epidemiology and Biostatistics, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Hospital, Tianjin 300060, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(6): 713-718, 2019 Jun 10.
Article in Zh | MEDLINE | ID: mdl-31238625
ABSTRACT

Objective:

To investigate the potential application values of screening on breast cancer, using the single-nucleotide polymorphisms (SNPs) that were identified from the genome- wide association studies (GWASs).

Methods:

Two million Chinese women aged 35-69 years were simulated, based on both age distributions, age-specific incidence rates of breast cancer and the distribution of known risk factors, in 2013. Twenty-three SNPs identified from GWAS were further simulated. Both genetic-related risks explained by each SNPs and the improvement on the risks under reclassification, were used to select SNPs for the prediction on breast cancer among the targeted high-risk population. Further analyses were conducted to investigate the following items as improvements on detection rates of breast cancer among the high-risk populations, areas under the curve (AUC) and the odds ratio (OR) among women at high risk.

Results:

A total of 12 SNPs were eligible for targeting the high-risk population of breast cancer. When high-risk populations were defined as women whose predicted risks were higher than the 95(th) predicted risk of the whole population, the detection rate (146.99/100 000) among high-risked women predicted by 12 SNPs would be significantly lower than 177.46/100 000, which was predicted by the known risk factors (P<0.001), among the high-risked women. Among those women at high risk, the detection rate (229.00/100 000) predicted by integrating known risk factors and 12 SNPs was significantly higher than that predicted by known risk factors (P<0.001). Also, the AUC increased from 64.4% to 67.8% (P<0.001), and the OR of increased from 3.32 to 4.33, predicted by integrating known risk factors and 12 SNPs, for women at high risk on breast cancer.

Conclusion:

Targeted SNPs that were identified from genome- wide association studies could be used to improve the detection rates as well as the overall accuracy of risk prediction so as to identify the potential high-risk women on breast cancer before carrying on the screening program.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Genetic Predisposition to Disease / Polymorphism, Single Nucleotide / Asian People / Early Detection of Cancer / Genome-Wide Association Study Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: Zh Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2019 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Genetic Predisposition to Disease / Polymorphism, Single Nucleotide / Asian People / Early Detection of Cancer / Genome-Wide Association Study Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: Zh Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2019 Document type: Article Affiliation country: China