scholarly journals Early life exposure to diagnostic radiation and ultrasound scans and risk of childhood cancer: case-control study

BMJ ◽  
2011 ◽  
Vol 342 (feb10 1) ◽  
pp. d472-d472 ◽  
Author(s):  
P. Rajaraman ◽  
J. Simpson ◽  
G. Neta ◽  
A. Berrington de Gonzalez ◽  
P. Ansell ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Early Life ◽  
Case Control Study ◽  
Case Control ◽  
Cancer Case ◽  
Early Life Exposure ◽  
Diagnostic Radiation ◽  
Control Study

scholarly journals In Utero and Early-Life Exposure to Ambient Air Toxics and Childhood Brain Tumors: A Population-Based Case–Control Study in California, USA

2016 ◽  
Vol 124 (7) ◽  
pp. 1093-1099 ◽  
Author(s):  
Ondine S. von Ehrenstein ◽  
Julia E. Heck ◽  
Andrew S. Park ◽  
Myles Cockburn ◽  
Loraine Escobedo ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Early Life ◽  
Case Control Study ◽  
Ambient Air ◽  
Population Based ◽  
In Utero ◽  
Case Control ◽  
Childhood Brain Tumors ◽  
Early Life Exposure ◽  
Control Study

scholarly journals The inter-regional epidemiological study of childhood cancer (IRESCC): a case control study of aetiological factors in leukaemia and lymphoma.

1987 ◽  
Vol 62 (3) ◽  
pp. 279-287 ◽  
Author(s):  
P A McKinney ◽  
R A Cartwright ◽  
J M Saiu ◽  
J R Mann ◽  
C A Stiller ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Epidemiological Study ◽  
Case Control Study ◽  
Case Control ◽  
Control Study

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.

Sign in / Sign up

Export Citation Format

Share Document