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Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis

BACKGROUND: Several studies have reported correlations between BRCA1 polymorphisms rs799917 and rs1799966 with the risk of breast cancer (BC). However, this relationship remains controversial. METHODS: We conducted a meta-analysis of seven studies to assess the associations between BRCA1 rs799917 an...

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Autores principales: Yang, Meiming, Du, Xiaoli, Zhang, Feng, Yuan, Shifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460623/
https://www.ncbi.nlm.nih.gov/pubmed/30832521
http://dx.doi.org/10.1177/0300060519826819
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author Yang, Meiming
Du, Xiaoli
Zhang, Feng
Yuan, Shifang
author_facet Yang, Meiming
Du, Xiaoli
Zhang, Feng
Yuan, Shifang
author_sort Yang, Meiming
collection PubMed
description BACKGROUND: Several studies have reported correlations between BRCA1 polymorphisms rs799917 and rs1799966 with the risk of breast cancer (BC). However, this relationship remains controversial. METHODS: We conducted a meta-analysis of seven studies to assess the associations between BRCA1 rs799917 and rs1799966 and BC risk, with the aim of more accurately determining the potential correlation. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated to evaluate the correlation of rs799917 and rs1799966 with BC risk. RESULTS: There was no overall correlation between BRCA1 rs799917 and BC risk (TT vs CC: OR = 0.87, 95% CI = 0.66–1.16; CT vs CC: OR = 1.02, 95% CI = 0.89–1.15; dominant model: OR = 0.99, 95% CI = 0.88–1.11; recessive model: OR = 0.87, 95% CI = 0.65–1.16). Subgroup analysis by ethnicity also revealed no significant correlation between rs799917 and BC risk in either Asians or Caucasians. There was also no significant association between BRCA1 rs1799966 and BC risk (GG vs AA: OR = 0.70, 95% CI = 0.33–1.47; AG vs AA: OR = 0.68, 95% CI = 0.35–1.30; dominant model: OR = 0.76, 95% CI = 0.49–1.06; recessive model: OR = 0.82, 95% CI = 0.49–1.36). CONCLUSION: BRCA1polymorphisms rs799917 and rs1799966 were not significantly associated with BC risk in this meta-analysis.
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spelling pubmed-64606232019-04-19 Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis Yang, Meiming Du, Xiaoli Zhang, Feng Yuan, Shifang J Int Med Res Meta-Analysis BACKGROUND: Several studies have reported correlations between BRCA1 polymorphisms rs799917 and rs1799966 with the risk of breast cancer (BC). However, this relationship remains controversial. METHODS: We conducted a meta-analysis of seven studies to assess the associations between BRCA1 rs799917 and rs1799966 and BC risk, with the aim of more accurately determining the potential correlation. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated to evaluate the correlation of rs799917 and rs1799966 with BC risk. RESULTS: There was no overall correlation between BRCA1 rs799917 and BC risk (TT vs CC: OR = 0.87, 95% CI = 0.66–1.16; CT vs CC: OR = 1.02, 95% CI = 0.89–1.15; dominant model: OR = 0.99, 95% CI = 0.88–1.11; recessive model: OR = 0.87, 95% CI = 0.65–1.16). Subgroup analysis by ethnicity also revealed no significant correlation between rs799917 and BC risk in either Asians or Caucasians. There was also no significant association between BRCA1 rs1799966 and BC risk (GG vs AA: OR = 0.70, 95% CI = 0.33–1.47; AG vs AA: OR = 0.68, 95% CI = 0.35–1.30; dominant model: OR = 0.76, 95% CI = 0.49–1.06; recessive model: OR = 0.82, 95% CI = 0.49–1.36). CONCLUSION: BRCA1polymorphisms rs799917 and rs1799966 were not significantly associated with BC risk in this meta-analysis. SAGE Publications 2019-03-05 2019-04 /pmc/articles/PMC6460623/ /pubmed/30832521 http://dx.doi.org/10.1177/0300060519826819 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Meta-Analysis
Yang, Meiming
Du, Xiaoli
Zhang, Feng
Yuan, Shifang
Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
title Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
title_full Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
title_fullStr Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
title_full_unstemmed Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
title_short Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
title_sort association between brca1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460623/
https://www.ncbi.nlm.nih.gov/pubmed/30832521
http://dx.doi.org/10.1177/0300060519826819
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