ORCID Profile
0000-0002-4606-3125
Current Organisation
Dalhousie University
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Publisher: American Association for Cancer Research (AACR)
Date: 14-06-2015
DOI: 10.1158/0008-5472.CAN-14-2012
Abstract: Mammographic density measures adjusted for age and body mass index (BMI) are heritable predictors of breast cancer risk, but few mammographic density-associated genetic variants have been identified. Using data for 10,727 women from two international consortia, we estimated associations between 77 common breast cancer susceptibility variants and absolute dense area, percent dense area and absolute nondense area adjusted for study, age, and BMI using mixed linear modeling. We found strong support for established associations between rs10995190 (in the region of ZNF365), rs2046210 (ESR1), and rs3817198 (LSP1) and adjusted absolute and percent dense areas (all P & 10−5). Of 41 recently discovered breast cancer susceptibility variants, associations were found between rs1432679 (EBF1), rs17817449 (MIR1972-2: FTO), rs12710696 (2p24.1), and rs3757318 (ESR1) and adjusted absolute and percent dense areas, respectively. There were associations between rs6001930 (MKL1) and both adjusted absolute dense and nondense areas, and between rs17356907 (NTN4) and adjusted absolute nondense area. Trends in all but two associations were consistent with those for breast cancer risk. Results suggested that 18% of breast cancer susceptibility variants were associated with at least one mammographic density measure. Genetic variants at multiple loci were associated with both breast cancer risk and the mammographic density measures. Further understanding of the underlying mechanisms at these loci could help identify etiologic pathways implicated in how mammographic density predicts breast cancer risk. Cancer Res 75(12) 2457–67. ©2015 AACR.
Publisher: Springer Science and Business Media LLC
Date: 10-06-2009
DOI: 10.1038/JES.2009.33
Abstract: A case-control study was conducted to determine the association between plasma organochlorine levels and prostate cancer risk. Male clinic patients scheduled for prostate core biopsy or seeing their urologist for other conditions from 1997 through 1999 in Kingston, Ontario were eligible, excluding those with an earlier cancer. Age frequency matched controls (n=329) were compared with 79 incident prostate cancer cases. Before knowledge of diagnosis, the patients completed a questionnaire and donated 15 ml of blood for the measurement of 14 PCBs, and 13 organochlorine pesticides by gas chromatography. At least 70% of patients had detectable levels of nine PCB congeners and seven pesticides, and these chemicals were included in the risk analysis adjusted for total lipids. Geometric means for these PCB congeners, total PCBs, and p,p'-DDE are slightly lower for cases than controls, whereas the levels of p,p'-DDT and other pesticides are virtually equal. Adjusting for age and other confounders in multivariable logistic regression, odds ratios (ORs) are consistently below 1.0 for PCB congeners and total PCBs. For pesticides, most ORs are very close to the null. This study suggests that long-term low-level exposure to organochlorine pesticides and PCBs in the general population does not contribute to increased prostate cancer risk.
Publisher: Springer Science and Business Media LLC
Date: 29-02-2016
DOI: 10.1038/NG.3521
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 05-1999
Publisher: American Association for Cancer Research (AACR)
Date: 07-2012
DOI: 10.1158/1055-9965.EPI-12-0066
Abstract: Background: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer risk. We examined whether common low-penetrance breast cancer susceptibility variants contribute to interin idual differences in mammographic density measures. Methods: We established an international consortium (DENSNP) of 19 studies from 10 countries, comprising 16,895 Caucasian women, to conduct a pooled cross-sectional analysis of common breast cancer susceptibility variants in 14 independent loci and mammographic density measures. Dense and nondense areas, and percent density, were measured using interactive-thresholding techniques. Mixed linear models were used to assess the association between genetic variants and the square roots of mammographic density measures adjusted for study, age, case status, BMI, and menopausal status. Results: Consistent with their breast cancer associations, the C-allele of rs3817198 in LSP1 was positively associated with both adjusted dense area (P = 0.00005) and adjusted percent density (P = 0.001), whereas the A-allele of rs10483813 in RAD51L1 was inversely associated with adjusted percent density (P = 0.003), but not with adjusted dense area (P = 0.07). Conclusion: We identified two common breast cancer susceptibility variants associated with mammographic measures of radiodense tissue in the breast gland. Impact: We examined the association of 14 established breast cancer susceptibility loci with mammographic density phenotypes within a large genetic consortium and identified two breast cancer susceptibility variants, LSP1-rs3817198 and RAD51L1-rs10483813, associated with mammographic measures and in the same direction as the breast cancer association. Cancer Epidemiol Biomarkers Prev 21(7) 1156–. ©2012 AACR.
No related grants have been discovered for Christy Woolcott.