Citations 16

A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

Human Molecular Genetics | September 14, 2012 | Volume: 21 | Issue: 24 | Pages: 5373-5384

10.1093/hmg/dds381 | PMID 22976474

The role of genetic breast cancer susceptibility variants as prognostic factors

Human Molecular Genetics | April 25, 2012 | Volume: 21 | Issue: 17 | Pages: 3926-3939

10.1093/hmg/dds159 | PMID 22532573

Common Breast Cancer Susceptibility Loci Are Associated with Triple-Negative Breast Cancer

Cancer Research | August 15, 2011 | Volume: 71 | Issue: 19 | Pages: 6240-6249

10.1158/0008-5472.can-11-1266 | PMID 21844186

Abstract Triple-negative breast cancers are an aggressive subtype of breast cancer with poor survival, but there remains little known about the etiologic factors that promote its initiation and development. Commonly inherited breast cancer risk factors identified through genome-wide association studies display heterogeneity of effect among breast cancer subtypes as defined by the status of estrogen and progesterone receptors. In the Triple Negative Breast Cancer Consortium (TNBCC), 22 common breast cancer susceptibility variants were investigated in 2,980 Caucasian women with triple-negative breast cancer and 4,978 healthy controls. We identified six single-nucleotide polymorphisms, including rs2046210 (ESR1), rs12662670 (ESR1), rs3803662 (TOX3), rs999737 (RAD51L1), rs8170 (19p13.1), and rs8100241 (19p13.1), significantly associated with the risk of triple-negative breast cancer. Together, our results provide convincing evidence of genetic susceptibility for triple-negative breast cancer. Cancer Res; 71(19); 6240–9. ©2011 AACR.
Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium

Human Molecular Genetics | May 19, 2011 | Volume: 20 | Issue: 16 | Pages: 3289-3303

10.1093/hmg/ddr228 | PMID 21596841

Five Polymorphisms and Breast Cancer Risk: Results from the Breast Cancer Association Consortium

Cancer Epidemiology, Biomarkers & Prevention | May 7, 2009 | Volume: 18 | Issue: 5 | Pages: 1610-1616

10.1158/1055-9965.epi-08-0745 | PMID 19423537

Abstract Previous studies have suggested that minor alleles for ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 may influence breast cancer risk, but the evidence is inconclusive due to their small sample size. These polymorphisms were genotyped in more than 30,000 breast cancer cases and 30,000 controls, primarily of European descent, from 30 studies in the Breast Cancer Association Consortium. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) as a measure of association. We found that the minor alleles for these polymorphisms were not related to invasive breast cancer risk overall in women of European descent: ECCR4 per-allele OR (95% CI) = 0.99 (0.97-1.02), minor allele frequency = 27.5%; TNF 1.00 (0.95-1.06), 5.0%; CASP10 1.02 (0.98-1.07), 6.5%; PGR 1.02 (0.99-1.06), 15.3%; and BID 0.98 (0.86-1.12), 1.7%. However, we observed significant between-study heterogeneity for associations with risk for single-nucleotide polymorphisms (SNP) in CASP10, PGR, and BID. Estimates were imprecise for women of Asian and African descent due to small numbers and lower minor allele frequencies (with the exception of BID SNP). The ORs for each copy of the minor allele were not significantly different by estrogen or progesterone receptor status, nor were any significant interactions found between the polymorphisms and age or family history of breast cancer. In conclusion, our data provide persuasive evidence against an overall association between invasive breast cancer risk and ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 genotypes among women of European descent. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1610–6)
Analysis of LRRK2 functional domains in nondominant Parkinson disease

Neurology | July 12, 2006 | Volume: 65 | Issue: 8 | Pages: 1319-1321

10.1212/01.wnl.0000180517.70572.37 | PMID 16247070