Search

Your search keyword '"Pradeep Singh Chauhan"' showing total 2 results
Start Over Author "Pradeep Singh Chauhan" Journal plos one
2 results on '"Pradeep Singh Chauhan"'

1. Multiple analytical approaches reveal distinct gene-environment interactions in smokers and non smokers in lung cancer.

Author

Rakhshan Ihsan, Pradeep Singh Chauhan, Ashwani Kumar Mishra, Dhirendra Singh Yadav, Mishi Kaushal, Jagannath Dev Sharma, Eric Zomawia, Yogesh Verma, Sujala Kapur, and Sunita Saxena

Subjects
Medicine, Science
Abstract

Complex disease such as cancer results from interactions of multiple genetic and environmental factors. Studying these factors singularly cannot explain the underlying pathogenetic mechanism of the disease. Multi-analytical approach, including logistic regression (LR), classification and regression tree (CART) and multifactor dimensionality reduction (MDR), was applied in 188 lung cancer cases and 290 controls to explore high order interactions among xenobiotic metabolizing genes and environmental risk factors. Smoking was identified as the predominant risk factor by all three analytical approaches. Individually, CYP1A1*2A polymorphism was significantly associated with increased lung cancer risk (OR = 1.69;95%CI = 1.11-2.59,p = 0.01), whereas EPHX1 Tyr113His and SULT1A1 Arg213His conferred reduced risk (OR = 0.40;95%CI = 0.25-0.65,p

Published
2011
Full Text
View/download PDF

2. Multiple analytical approaches reveal distinct gene-environment interactions in smokers and non smokers in lung cancer

Author

Mishi Kaushal, Pradeep Singh Chauhan, Jagannath Dev Sharma, Yogesh Verma, Sunita Saxena, Sujala Kapur, Rakhshan Ihsan, Ashwani Kumar Mishra, Eric Zomawia, and Dhirendra Singh Yadav

Subjects
Male, Oncology, Pathology, Heredity, Lung Neoplasms, Multifactor Dimensionality Reduction, Pulmonology, Epidemiology, lcsh:Medicine, EPHX1, Toxicology, GSTP1, Genotype, Data Mining, Gene–environment interaction, lcsh:Science, Aged, 80 and over, Epoxide Hydrolases, Multidisciplinary, Smoking, Middle Aged, Chewing tobacco, Genetic Epidemiology, Medicine, Risk assessment, Research Article, Adult, medicine.medical_specialty, Genetic Toxicology, Genotypes, Biology, Environmental and Occupational Lung Diseases, Polymorphism, Single Nucleotide, Environmental Epidemiology, Statistics, Nonparametric, Internal medicine, Genetics, Cancer Genetics, Cytochrome P-450 CYP1A1, medicine, Humans, False Positive Reactions, Genetic Predisposition to Disease, Lung cancer, Genetic Association Studies, Aged, Probability, Population Biology, Multifactor dimensionality reduction, lcsh:R, Smoking Related Disorders, Reproducibility of Results, Human Genetics, medicine.disease, Logistic Models, Haplotypes, Sample Size, Genetics of Disease, Respiratory Infections, Genetic Polymorphism, Gene-Environment Interaction, lcsh:Q, Population Genetics
Abstract

Complex disease such as cancer results from interactions of multiple genetic and environmental factors. Studying these factors singularly cannot explain the underlying pathogenetic mechanism of the disease. Multi-analytical approach, including logistic regression (LR), classification and regression tree (CART) and multifactor dimensionality reduction (MDR), was applied in 188 lung cancer cases and 290 controls to explore high order interactions among xenobiotic metabolizing genes and environmental risk factors. Smoking was identified as the predominant risk factor by all three analytical approaches. Individually, CYP1A1*2A polymorphism was significantly associated with increased lung cancer risk (OR = 1.69;95%CI = 1.11–2.59,p = 0.01), whereas EPHX1 Tyr113His and SULT1A1 Arg213His conferred reduced risk (OR = 0.40;95%CI = 0.25–0.65,p

Published
2011

Catalog

Books, media, physical & digital resources
See catalog results