Test of Hardy–Weinberg equilibrium in breast cancer case-control studies: an issue may influence the conclusions

2009 ◽  
Vol 117 (3) ◽  
pp. 675-677 ◽  
Author(s):  
Ke-Da Yu ◽  
Geng-Hong Di ◽  
Lei Fan ◽  
Zhi-Ming Shao
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Case Control Studies ◽  
Weinberg Equilibrium ◽  
Hardy Weinberg Equilibrium

scholarly journals Genetic analysis of the vitamin D receptor gene in two epithelial cancers: melanoma and breast cancer case-control studies

BMC Cancer ◽  
2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Eva Barroso ◽  
Lara P Fernandez ◽  
Roger L Milne ◽  
Guillermo Pita ◽  
Elena Sendagorta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Vitamin D ◽  
Genetic Analysis ◽  
Receptor Gene ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Vitamin D Receptor Gene ◽  
Case Control Studies ◽  
Epithelial Cancers

scholarly journals Reproductive factors and breast cancer risk: A meta-analysis of case–control studies in Indian women

2019 ◽  
Vol 08 (02) ◽  
pp. 080-084
Author(s):  
Gayatri Vishwakarma ◽  
Harrison Ndetan ◽  
Durgesh Nandini Das ◽  
Garima Gupta ◽  
Moushumi Suryavanshi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Significant Risk ◽  
Reproductive Factors ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Case Control Studies

Abstract Background/Objective: India is the world's most biodiverse region and is undergoing a period of dramatic social and economic change. Due to population's explosion, climate change and lax implementation of environmental policies, the incidence of breast cancer is increasing. From population-based cancer registry data, breast cancer is the most common cancer in women in urban registries where it constitutes more than 30% of all cancers in females. We conducted a meta-analysis of all breast cancer case–control studies conducted in India during 1991–2018 to find pooled estimates of odds ratio (OR). Materials and Methods: Eligible studies were identified through a comprehensive literature search of PubMed, EMBASE, and HINARI databases from 1991 to January 2018. This analysis included 24 observational studies out of 34 that reported the case–control distribution of reproductive factors, body mass index (BMI) and type of residence. The analysis was performed using RevMan 5.3 (Review Manager, 2017) applying the random-effects model. Results: A total of 21,511 patients (9889 cases and 11,622 controls) were analyzed, resulting in statistically significant association between breast cancer and the following reproductive factors: never breastfeed (OR: 3.69; 95% confidence interval [CI]: 1.70, 8.01), menopausal age >50 years (OR: 2.88; 95% CI: 1.85, 3.85), menarche age <13 years (OR: 1.83; 95% CI: 1.34, 2.51), null parity (OR: 1.58; 95% CI: 1.21, 2.06), postmenopause (OR: 1.35; 95% CI: 1.13, 1.62), and age at the 1st pregnancy >25 years (OR: 1.57; 95% CI: 1.37, 1.80). Family history (FH) of breast cancer (OR: 5.33; 95% CI: 2.89, 9.82), obesity (OR: 1.19; 95% CI: 1.00, 1.42), and urban residence (OR: 1.22; 95% CI: 1.03, 1.44) were also found to be significant risk factors. Conclusion: The results of this meta-analysis are indicative of significant associations between reproductive factors and breast cancer risk, profoundly so among women experiencing menopause after the age of 50, women who never breastfeed and FH of breast cancer.

CIGARETTE SMOKING AND BREAST CANCER: CASE-CONTROL STUDIES OF PREVALENT AND INCIDENT CANCER IN THE CANADIAN NATIONAL BREAST SCREENING STUDY

1989 ◽  
Vol 130 (2) ◽  
pp. 213-220 ◽  
Author(s):  
MARTIN T. SCHECHTER ◽  
ANTHONY B. MILLER ◽  
GEOFFREY HOWE ◽  
CORNELIA J. BAINES ◽  
KEVIN J. P. CRAIB ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cigarette Smoking ◽  
Breast Screening ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Case Control Studies ◽  
National Breast ◽  
Incident Cancer ◽  
Screening Study

Serum hormone levels in pre-menopausal Chinese women in Shanghai and white women in Los Angeles: results from two breast cancer case-control studies

1990 ◽  
Vol 1 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Leslie Bernstein ◽  
Jian-Min Yuan ◽  
Ronald K. Ross ◽  
Malcolm C. Pike ◽  
Rosemarie Hanisch ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Los Angeles ◽  
White Women ◽  
Chinese Women ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Case Control Studies ◽  
Hormone Levels ◽  
Serum Hormone

scholarly journals Assessment of a Questionnaire for Breast Cancer Case-Control Studies

2013 ◽  
Vol 14 (5) ◽  
pp. 2777-2782 ◽  
Author(s):  
Loreta Strumylaite ◽  
Rima Kregzdyte ◽  
Danguole Ceslava Rugyte ◽  
Algirdas Bogusevicius ◽  
Kristina Mechonosina
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Case Control Studies

scholarly journals Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study

10.2196/16886 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e16886
Author(s):  
Li-Yeh Chuang ◽  
Cheng-San Yang ◽  
Huai-Shuo Yang ◽  
Cheng-Hong Yang
Keyword(s):  
Breast Cancer ◽  
Genetic Algorithm ◽  
Taguchi Method ◽  
Case Control Study ◽  
Breast Cancer Case ◽  
Case Control ◽  
High Order ◽  
Cancer Case ◽  
Single Nucleotide ◽  
Control Study

Background Breast cancer has a major disease burden in the female population, and it is a highly genome-associated human disease. However, in genetic studies of complex diseases, modern geneticists face challenges in detecting interactions among loci. Objective This study aimed to investigate whether variations of single-nucleotide polymorphisms (SNPs) are associated with histopathological tumor characteristics in breast cancer patients. Methods A hybrid Taguchi-genetic algorithm (HTGA) was proposed to identify the high-order SNP barcodes in a breast cancer case-control study. A Taguchi method was used to enhance a genetic algorithm (GA) for identifying high-order SNP barcodes. The Taguchi method was integrated into the GA after the crossover operations in order to optimize the generated offspring systematically for enhancing the GA search ability. Results The proposed HTGA effectively converged to a promising region within the problem space and provided excellent SNP barcode identification. Regression analysis was used to validate the association between breast cancer and the identified high-order SNP barcodes. The maximum OR was less than 1 (range 0.870-0.755) for two- to seven-order SNP barcodes. Conclusions We systematically evaluated the interaction effects of 26 SNPs within growth factor–related genes for breast carcinogenesis pathways. The HTGA could successfully identify relevant high-order SNP barcodes by evaluating the differences between cases and controls. The validation results showed that the HTGA can provide better fitness values as compared with other methods for the identification of high-order SNP barcodes using breast cancer case-control data sets.

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