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GWAS Study

A Genome-Wide Association Study of Prostate Cancer Susceptibility Using Occupational and Environmental Factors as Confounding Factors.

Takeuchi T, Hattori-Kato M, Okuno Y et al.

38406143 PubMed ID
GWAS Study Type
714 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

TT
Takeuchi T
HM
Hattori-Kato M
OY
Okuno Y
NA
Nomiya A
FH
Fukuhara H
ZM
Zaitsu M
AT
Azuma T
Chapter II

Abstract

Summary of the research findings

Background In addition to genetic predisposition, occupational and environmental factors are important for the risk of prostate cancer. We investigated the effect of single nucleotide polymorphisms (SNPs) on the development of prostate cancer in Japan, including occupational and industrial history as confounding factors in addition to age, smoking, and alcohol drinking. Methods We enrolled 210 prostate cancer patients and 504 male control patients. We conducted four genome-wide association study (GWAS) patterns for prostate cancer development. In the association test, logistic regression models incorporated age, smoking history, alcohol consumption history, and each pattern of industrial/occupational classification. Results No SNPs satisfying the genome-wide significance level of 5×10-8 were detected in GWAS. SNPs with a suggestive association level of 1×10-6 were found near the long intergenic non-protein coding RNA 1824 (LINC01824) and tripartite motif family like 2 (TRIML2) genes in the GWAS using occupational history as a confounder and near the ribosomal protein S2 pseudogene 25 (RPS2P25) gene in the GWAS using industrial history as a confounder. No SNPs that met the suggestive association level were observed in the GWAS that did not include occupational and industrial history. Conclusion By adding occupational and industrial history to the confounding factors, there were SNPs detected in the GWAS for prostate cancer development. The consideration of occupational and industrial history may increase the usefulness of GWAS.

210 East Asian ancestry cases, 504 East Asian ancestry controls

Chapter III

Study Statistics

Key metrics and study information

714
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Japan
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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