Literature DB >> 24919398

Breast cancer risk, nightwork, and circadian clock gene polymorphisms.

Thérèse Truong1, Benoît Liquet1, Florence Menegaux1, Sabine Plancoulaine1, Pierre Laurent-Puig2, Claire Mulot2, Emilie Cordina-Duverger1, Marie Sanchez1, Patrick Arveux2, Pierre Kerbrat2, Sylvia Richardson2, Pascal Guénel3.   

Abstract

Night shift work has been associated with an increased risk of breast cancer pointing to a role of circadian disruption. We investigated the role of circadian clock gene polymorphisms and their interaction with nightwork in breast cancer risk in a population-based case-control study in France including 1126 breast cancer cases and 1174 controls. We estimated breast cancer risk associated with each of the 577 single nucleotide polymorphisms (SNPs) in 23 circadian clock genes. We also used a gene- and pathway-based approach to investigate the overall effect on breast cancer of circadian clock gene variants that might not be detected in analyses based on individual SNPs. Interactions with nightwork were tested at the SNP, gene, and pathway levels. We found that two SNPs in RORA (rs1482057 and rs12914272) were associated with breast cancer in the whole sample and among postmenopausal women. In this subpopulation, we also reported an association with rs11932595 in CLOCK, and with CLOCK, RORA, and NPAS2 in the analyses at the gene level. Breast cancer risk in postmenopausal women was also associated with overall genetic variation in the circadian gene pathway (P=0.04), but this association was not detected in premenopausal women. There was some evidence of an interaction between PER1 and nightwork in breast cancer in the whole sample (P=0.024), although the effect was not statistically significant after correcting for multiple testing (P=0.452). Our results support the hypothesis that circadian clock gene variants modulate breast cancer risk.
© 2014 Society for Endocrinology.

Entities:  

Keywords:  breast cancer; case–control study; circadian rhythm; nightwork

Mesh:

Substances:

Year:  2014        PMID: 24919398     DOI: 10.1530/ERC-14-0121

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  31 in total

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Journal:  Biomed Rep       Date:  2016-01-21

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Journal:  Int J Cancer       Date:  2017-07-29       Impact factor: 7.316

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