Truong Thérèse, Liquet Benoît, Menegaux Florence, Plancoulaine Sabine, Laurent-Puig Pierre, Mulot Claire, Cordina-Duverger Emilie, Sanchez Marie, Arveux Patrick, Kerbrat Pierre, Richardson Sylvia, Guénel Pascal
InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, FranceInsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France.
InsermCESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, FranceUniversité Paris-SudUMRS 1018, Villejuif, FranceBiostatistical UnitMRC, Cambridge, UKSchool of Mathematics and PhysicsThe University of Queensland, St Lucia, Queensland, AustraliaInsermCESP Center for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease Over Lifecourse, Villejuif, FranceUniversité Paris DescartesINSERM UMR-S775 EPIGENETEC, Paris, FranceDépartement d'informatique médicaleCenter Georges-François Leclerc, Dijon, FranceCenter Eugène MarquisRennes, France.
Endocr Relat Cancer. 2014 Aug;21(4):629-38. doi: 10.1530/ERC-14-0121. Epub 2014 Jun 11.
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.
夜班工作与乳腺癌风险增加有关,这表明昼夜节律紊乱起到了一定作用。在法国一项基于人群的病例对照研究中,我们调查了昼夜节律时钟基因多态性及其与夜班工作的相互作用对乳腺癌风险的影响,该研究包括1126例乳腺癌病例和1174例对照。我们估计了23个昼夜节律时钟基因中577个单核苷酸多态性(SNP)各自与乳腺癌风险的关联。我们还采用了基于基因和通路的方法,来研究那些在基于单个SNP的分析中可能未被检测到的昼夜节律时钟基因变异对乳腺癌的总体影响。在SNP、基因和通路水平上测试了与夜班工作的相互作用。我们发现,在整个样本以及绝经后女性中,RORA基因的两个SNP(rs1482057和rs12914272)与乳腺癌有关。在这个亚组中,我们还报告了在基因水平分析中,CLOCK基因的rs11932595以及CLOCK、RORA和NPAS2基因与乳腺癌有关。绝经后女性的乳腺癌风险也与昼夜节律基因通路中的总体基因变异有关(P = 0.04),但在绝经前女性中未检测到这种关联。在整个样本中,有证据表明PER1基因与夜班工作在乳腺癌发生中存在相互作用(P = 0.024),尽管在进行多重检验校正后该效应无统计学意义(P = 0.452)。我们的结果支持昼夜节律时钟基因变异调节乳腺癌风险这一假说。