Clinical Cancer Research · 2004 · 54 citations · 34 references
Life SciencesGeneticsOncologyCancer GeneticsMedical GeneticsMolecular OncologyCancer GenomicsDisease Susceptibility LociGenetic SusceptibilityGenotype-phenotype Association AnalysisGenotype-phenotype CorrelationGermline Cancer SusceptibilityBreast Cancer HistopathologyBreast Cancer ProgressionCancer Risk AssociationGenetic PolymorphismsGermline Genetic PolymorphismsSingle-nucleotide PolymorphismsTumor Susceptibility Genes
PURPOSE: Genetic polymorphisms may affect not only cancer development but also cancer progression, and as a result could influence cancer phenotypes. The aim of this study was to examine the relationship between breast cancer susceptibility gene polymorphisms and clinicopathological features. EXPERIMENTAL DESIGN: We genotyped 664 Korean primary breast cancer patients for 17 single-nucleotide polymorphisms (SNPs) in nine genes, using a high-throughput SNP scoring method. RESULTS: CYP1A1 codon 462 Ile/Val or Val/Val variants and the CYP1B1 codon 432 Leu/Val variant were found more in breast cancer patients </=35 years of age at onset than the common homozygote [odds ratio (OR), 1.6 and 1.7, respectively]. In combination analysis of these two SNPs, the OR was 1.9 when one of them was heterozygous or a rare homozygous form, and increased to 2.3 when both were variants (P = 0.006). Cases with Ile/Val at CYP1A1 codon 462 were 2.6-fold and those with Val/Val were 5.1-fold more likely to have first-degree relatives with breast cancer than those with Ile/Ile (P = 0.002). In the haplotype study of BRCA1, the 2430C/2731T/3667G/4427C/4956G homozygote showed less estrogen receptor negativity than the most common diplotype (OR, 0.5; 95% confidence interval, 0.26-0.94). TP53 codon 72 Arg/Pro or Pro/Pro variants were associated with negative axillary lymph node status (OR, 0.7; 95% confidence interval, 0.49-0.94). CONCLUSIONS: These results indicate that polymorphisms of some selected breast cancer susceptibility genes are associated with the clinicopathological phenotypes of breast cancer.
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Bayesian Haplotype Inference for Multiple Linked Single-Nucleotide Polymorphisms
Tianhua Niu, Zhaohui Qin, Xiping Xu et al. · The American Journal of Human Genetics · 2002 · 645 citations · Full text
BRCA1 Inhibition of Estrogen Receptor Signaling in Transfected Cells
Saijun Fan, J.-A. Wang, Ray‐Hwang Yuan et al. · Science · 1999 · 494 citations