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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
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A Genome-Wide Association Study of Prostate Cancer Susceptibility Using Occupational and Environmental Factors as
Takumi Takeuchi1, Mami Hattori-Kato1, Yumiko Okuno1
1Department of Urology, Japan Organization of Occupational Health and Safety, Kanto Rosai Hospital, Kawasaki, JPN.
Cureus
|February 26, 2024
Summary
Investigating prostate cancer risk in Japan, this study found that including occupational and industrial history in genome-wide association studies (GWAS) identified suggestive single nucleotide polymorphisms (SNPs). This highlights the importance of environmental factors in cancer development.
Area of Science:
- Genetics
- Epidemiology
- Environmental Health
Background:
- Prostate cancer risk is influenced by genetic predisposition, occupational, and environmental factors.
- Understanding these multifactorial risks is crucial for developing effective prevention and treatment strategies.
- Previous studies have explored genetic associations, but the impact of occupational and environmental exposures requires further investigation.
Purpose of the Study:
- To investigate the effect of single nucleotide polymorphisms (SNPs) on prostate cancer development in Japan.
- To assess the influence of occupational and industrial history as confounding factors in genome-wide association studies (GWAS).
- To identify potential genetic markers associated with prostate cancer risk, considering environmental exposures.
Main Methods:
- Conducted genome-wide association studies (GWAS) on 210 prostate cancer patients and 504 male controls in Japan.
- Employed logistic regression models incorporating age, smoking history, alcohol consumption, and occupational/industrial history as confounders.
- Analyzed four GWAS patterns to identify significant SNPs associated with prostate cancer development.
Main Results:
- No SNPs reached the genome-wide significance level (5×10-8) in standard GWAS.
- Suggestive associations (1×10-6) were found near *LINC01824* and *TRIML2* genes when occupational history was included.
- Suggestive associations were also observed near the *RPS2P25* gene when industrial history was included as a confounder.
- No suggestive SNPs were detected in GWAS analyses that excluded occupational and industrial history.
Conclusions:
- Incorporating occupational and industrial history into GWAS for prostate cancer can reveal suggestive genetic associations.
- These environmental factors may play a significant role in prostate cancer etiology, influencing the detection of relevant SNPs.
- Considering occupational and environmental history enhances the utility of GWAS in understanding complex diseases like prostate cancer.
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