Breast cancer risk in patients with polycystic ovary syndrome: a Mendelian randomization analysis

2020 ◽  
Author(s):  
Yaokai Wen ◽  
Xiangrong Wu ◽  
Haoxin Peng ◽  
Caichen Li ◽  
Yu Jiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Polycystic Ovary Syndrome ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals 237P Breast cancer risk in patients with polycystic ovary syndrome: A Mendelian randomization analysis

2020 ◽  
Vol 31 ◽  
pp. S335
Author(s):  
X. Wu ◽  
Y. Wen ◽  
H. Peng ◽  
C. Li ◽  
H. Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Polycystic Ovary Syndrome ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Letter regarding article, “Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis”

2019 ◽  
Vol 48 (3) ◽  
pp. 1014-1015 ◽  
Author(s):  
Vanessa Y Tan ◽  
James Yarmolinsky ◽  
Debbie A Lawlor ◽  
Nicholas J Timpson
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Mendelian Randomization ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Association between genetically predicted polycystic ovary syndrome and ovarian cancer: a Mendelian randomization study

2019 ◽  
Vol 48 (3) ◽  
pp. 822-830 ◽  
Author(s):  
Holly R Harris ◽  
Kara L Cushing-Haugen ◽  
Penelope M Webb ◽  
Christina M Nagle ◽  
Susan J Jordan ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Polycystic Ovary Syndrome ◽  
Mendelian Randomization ◽  
Polycystic Ovary ◽  
European Ancestry ◽  
Ovarian Cancer Risk ◽  
Inverse Association ◽  
Ovary Syndrome ◽  
Study Results

Abstract Background Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with an estimated prevalence of 4–21% in reproductive aged women. Recently, the Ovarian Cancer Association Consortium (OCAC) reported a decreased risk of invasive ovarian cancer among women with self-reported PCOS. However, given the limitations of self-reported PCOS, the validity of these observed associations remains uncertain. Therefore, we sought to use Mendelian randomization with genetic markers as a proxy for PCOS, to examine the association between PCOS and ovarian cancer. Methods Utilizing 14 single nucleotide polymorphisms (SNPs) previously associated with PCOS we assessed the association between genetically predicted PCOS and ovarian cancer risk, overall and by histotype, using summary statistics from a previously conducted genome-wide association study (GWAS) of ovarian cancer among European ancestry women within the OCAC (22 406 with invasive disease, 3103 with borderline disease and 40 941 controls). Results An inverse association was observed between genetically predicted PCOS and invasive ovarian cancer risk: odds ratio (OR)=0.92 [95% confidence interval (CI)=0.85–0.99; P = 0.03]. When results were examined by histotype, the strongest inverse association was observed between genetically predicted PCOS and endometrioid tumors (OR = 0.77; 95% CI = 0.65–0.92; P = 0.003). Adjustment for individual-level body mass index, oral contraceptive use and parity did not materially change the associations. Conclusion Our study provides evidence for a relationship between PCOS and reduced ovarian cancer risk, overall and among specific histotypes of invasive ovarian cancer. These results lend support to our previous observational study results. Future studies are needed to understand mechanisms underlying this association.

scholarly journals A Mendelian randomization analysis of circulating lipid traits and breast cancer risk

2019 ◽  
Vol 49 (4) ◽  
pp. 1117-1131 ◽  
Author(s):  
Alicia Beeghly-Fadiel ◽  
Nikhil K Khankari ◽  
Ryan J Delahanty ◽  
Xiao-Ou Shu ◽  
Yingchang Lu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Standard Deviation ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Total Cholesterol ◽  
Mendelian Randomization ◽  
Density Lipoprotein ◽  
Sensitivity Analyses ◽  
Standard Deviation Increase ◽  
Randomization Analysis

Abstract Background Conventional epidemiologic studies have evaluated associations between circulating lipid levels and breast cancer risk, but results have been inconsistent. As Mendelian randomization analyses may provide evidence for causal inference, we sought to evaluate potentially unbiased associations between breast cancer risk and four genetically predicted lipid traits. Methods Previous genome-wide association studies (GWAS) have identified 164 discrete variants associated with high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), triglycerides and total cholesterol. We used 162 of these unique variants to construct weighted genetic scores (wGSs) for a total of 101 424 breast cancer cases and 80 253 controls of European ancestry from the Breast Cancer Association Consortium (BCAC). Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between per standard deviation increase in genetically predicted lipid traits and breast cancer risk. Additional Mendelian randomization analysis approaches and sensitivity analyses were conducted to assess pleiotropy and instrument validity. Results Corresponding to approximately 15 mg/dL, one standard deviation increase in genetically predicted HDL-C was associated with a 12% increased breast cancer risk (OR: 1.12, 95% CI: 1.08–1.16). Findings were consistent after adjustment for breast cancer risk factors and were robust in several sensitivity analyses. Associations with genetically predicted triglycerides and total cholesterol were inconsistent, and no association for genetically predicted LDL-C was observed. Conclusions This study provides strong evidence that circulating HDL-C may be associated with an increased risk of breast cancer, whereas LDL-C may not be related to breast cancer risk.

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