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082 _ _ |a 610
100 1 _ |a Wichert, Katharina
|0 0000-0001-7708-7843
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245 _ _ |a Polymorphisms in genes of melatonin biosynthesis and signaling support the light-at-night hypothesis for breast cancer.
260 _ _ |a Dordrecht [u.a.]
|c 2023
|b Springer Science + Business Media B.V.
336 7 _ |a article
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500 _ _ |a 2023 Oct;38(10):1053-1068
520 _ _ |a Light-at-night triggers the decline of pineal gland melatonin biosynthesis and secretion and is an IARC-classified probable breast-cancer risk factor. We applied a large-scale molecular epidemiology approach to shed light on the putative role of melatonin in breast cancer. We investigated associations between breast-cancer risk and polymorphisms at genes of melatonin biosynthesis/signaling using a study population of 44,405 women from the Breast Cancer Association Consortium (22,992 cases, 21,413 population-based controls). Genotype data of 97 candidate single nucleotide polymorphisms (SNPs) at 18 defined gene regions were investigated for breast-cancer risk effects. We calculated adjusted odds ratios (ORs) and 95% confidence intervals (CI) by logistic regression for the main-effect analysis as well as stratified analyses by estrogen- and progesterone-receptor (ER, PR) status. SNP-SNP interactions were analyzed via a two-step procedure based on logic regression. The Bayesian false-discovery probability (BFDP) was used for all analyses to account for multiple testing. Noteworthy associations (BFDP < 0.8) included 10 linked SNPs in tryptophan hydroxylase 2 (TPH2) (e.g. rs1386492: OR = 1.07, 95% CI 1.02-1.12), and a SNP in the mitogen-activated protein kinase 8 (MAPK8) (rs10857561: OR = 1.11, 95% CI 1.04-1.18). The SNP-SNP interaction analysis revealed noteworthy interaction terms with TPH2- and MAPK-related SNPs (e.g. rs1386483R ∧ rs1473473D ∧ rs3729931D: OR = 1.20, 95% CI 1.09-1.32). In line with the light-at-night hypothesis that links shift work with elevated breast-cancer risks our results point to SNPs in TPH2 and MAPK-genes that may impact the intricate network of circadian regulation.
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650 _ 7 |a Circadian rhythm
|2 Other
650 _ 7 |a MAPK8
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650 _ 7 |a Serotonin biosynthesis
|2 Other
650 _ 7 |a Shift work
|2 Other
650 _ 7 |a TPH2
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700 1 _ |a Hoppe, Reiner
|b 1
700 1 _ |a Ickstadt, Katja
|b 2
700 1 _ |a Behrens, Thomas
|b 3
700 1 _ |a Winter, Stefan
|b 4
700 1 _ |a Herold, Robert
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700 1 _ |a Terschüren, Claudia
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700 1 _ |a Lo, Wing-Yee
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700 1 _ |a Guénel, Pascal
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700 1 _ |a Truong, Thérèse
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700 1 _ |a Bolla, Manjeet K
|b 10
700 1 _ |a Wang, Qin
|b 11
700 1 _ |a Dennis, Joe
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700 1 _ |a Michailidou, Kyriaki
|b 13
700 1 _ |a Lush, Michael
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700 1 _ |a Andrulis, Irene L
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700 1 _ |a Brenner, Hermann
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700 1 _ |a Chang-Claude, Jenny
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700 1 _ |a Cox, Angela
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700 1 _ |a Cross, Simon S
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700 1 _ |a Czene, Kamila
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700 1 _ |a Eriksson, Mikael
|b 21
700 1 _ |a Figueroa, Jonine D
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700 1 _ |a García-Closas, Montserrat
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700 1 _ |a Goldberg, Mark S
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700 1 _ |a Hamann, Ute
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700 1 _ |a He, Wei
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700 1 _ |a Holleczek, Bernd
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700 1 _ |a Hopper, John L
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700 1 _ |a Jakubowska, Anna
|b 29
700 1 _ |a Ko, Yon-Dschun
|b 30
700 1 _ |a Lubiński, Jan
|b 31
700 1 _ |a Mulligan, Anna Marie
|b 32
700 1 _ |a Obi, Nadia
|b 33
700 1 _ |a Rhenius, Valerie
|b 34
700 1 _ |a Shah, Mitul
|b 35
700 1 _ |a Shu, Xiao-Ou
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700 1 _ |a Simard, Jacques
|b 37
700 1 _ |a Southey, Melissa C
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700 1 _ |a Zheng, Wei
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700 1 _ |a Dunning, Alison M
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700 1 _ |a Pharoah, Paul D P
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700 1 _ |a Hall, Per
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700 1 _ |a Easton, Douglas F
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700 1 _ |a Brüning, Thomas
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700 1 _ |a Brauch, Hiltrud
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700 1 _ |a Harth, Volker
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700 1 _ |a Rabstein, Sylvia
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773 _ _ |a 10.1007/s10654-023-01048-7
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