Environmental factors and risk of aggressive prostate cancer among a population of New Zealand men – a genotypic approach
| Autor: | Alice Wang, Chi Hsiu-Juei Kao, Ajit Narayanan, Megan Goudie, Lynnette R. Ferguson, Mohanraj Krishnan, Venkatesh Vaidyanathan, Shuotun Zhu, Karen S. Bishop, Vijay Naidu, Jonathan Masters, Radha Pallati, Gareth Marlow, Anower Jabed, Nishi Karunasinghe, Phillip Shepherd |
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| Rok vydání: | 2017 |
| Předmět: |
Male
0301 basic medicine Genotype Population Single-nucleotide polymorphism Disease Environment Biology Bioinformatics Polymorphism Single Nucleotide Risk Assessment 03 medical and health sciences Prostate cancer 0302 clinical medicine Risk Factors Odds Ratio medicine Humans Genetic Predisposition to Disease Gene–environment interaction education Life Style Molecular Biology Alleles Genetic Association Studies education.field_of_study Case-control study Prostatic Neoplasms Odds ratio Prognosis medicine.disease 030104 developmental biology Case-Control Studies Population Surveillance 030220 oncology & carcinogenesis Gene-Environment Interaction Neoplasm Grading Risk assessment New Zealand Biotechnology |
| Zdroj: | Molecular BioSystems. 13:681-698 |
| ISSN: | 1742-2051 1742-206X |
| Popis: | Prostate cancer is one of the most significant health concerns for men worldwide. Numerous researchers carrying out molecular diagnostics have indicated that genetic interactions with biological and behavioral factors play an important role in the overall risk and prognosis of this disease. Single nucleotide polymorphisms (SNPs) are increasingly becoming strong biomarker candidates to identify susceptibility to prostate cancer. We carried out a gene × environment interaction analysis linked to aggressive and non-aggressive prostate cancer (PCa) with a number of SNPs. By using this method, we identified the susceptible alleles in a New Zealand population, and examined the interaction with environmental factors. We have identified a number of SNPs that have risk associations both with and without environmental interaction. The results indicate that certain SNPs are associated with disease vulnerability based on behavioral factors. The list of genes with SNPs identified as being associated with the risk of PCa in a New Zealand population is provided in the graphical abstract. |
| Databáze: | OpenAIRE |
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