SynthesisThe Journal of international medical research2019
Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis.
Synthesis in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Single-Nucleotide Polymorphisms of BRCA1 and BRCA2 and Risk of Papillary Thyroid Carcinoma.Cancers · 2025Article
- Comprehensive breast cancer risk analysis with whole exome sequencing and the prevalence ofBiomedical reports · 2024Article
- Investigating the Role of Glutathione S- Transferase Genes, Histopathological and Molecular Subtypes, Gene-Gene Interaction and Its Susceptibility to Breast Carcinoma in Ethnic North- Indian Population.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- Whole-exome Sequencing of Nigerian Prostate Tumors from the Prostate Cancer Transatlantic Consortium (CaPTC) Reveals DNA Repair Genes Associated with African Ancestry.Cancer research communications · 2022Article
- Genetic analysis of colorectal carcinoma using high throughput single nucleotide polymorphism genotyping technique within the population of Jammu and Kashmir.Molecular biology reports · 2021Article
- Single nucleotide polymorphisms in breast cancer susceptibility gene 1 are associated with susceptibility to lung cancer.Oncology letters · 2021Article
- BRCA1 rs799917 and rs1799966 Variants and Breast Cancer Risk in Nigerian Women: A Case-Control Study With Population-Based Allele Frequency Analysis.Cancer control : journal of the Moffitt Cancer CenterArticle
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4 authors.
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Abstract
backgroundSeveral studies have reported correlations between BRCA1 polymorphisms rs799917 and rs1799966 with the risk of breast cancer (BC). However, this relationship remains controversial.
methodsWe 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.
resultsThere 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).
conclusionBRCA1polymorphisms rs799917 and rs1799966 were not significantly associated with BC risk in this meta-analysis.
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