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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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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. |
format | Online Article Text |
id | pubmed-6460623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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