001     141709
005     20240229105129.0
024 7 _ |a 10.1093/ije/dyx236
|2 doi
024 7 _ |a pmid:29186515
|2 pmid
024 7 _ |a pmc:PMC6186013
|2 pmc
024 7 _ |a 0300-5771
|2 ISSN
024 7 _ |a 1464-3685
|2 ISSN
024 7 _ |a altmetric:29646349
|2 altmetric
037 _ _ |a DKFZ-2018-01980
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Ong, Jue-Sheng
|b 0
245 _ _ |a Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study.
260 _ _ |a Oxford
|c 2018
|b Oxford Univ. Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1542962060_25384
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Coffee consumption has been shown to be associated with various health outcomes in observational studies. However, evidence for its association with epithelial ovarian cancer (EOC) is inconsistent and it is unclear whether these associations are causal.We used single nucleotide polymorphisms associated with (i) coffee and (ii) caffeine consumption to perform Mendelian randomization (MR) on EOC risk. We conducted a two-sample MR using genetic data on 44 062 individuals of European ancestry from the Ovarian Cancer Association Consortium (OCAC), and combined instrumental variable estimates using a Wald-type ratio estimator.For all EOC cases, the causal odds ratio (COR) for genetically predicted consumption of one additional cup of coffee per day was 0.92 [95% confidence interval (CI): 0.79, 1.06]. The COR was 0.90 (95% CI: 0.73, 1.10) for high-grade serous EOC. The COR for genetically predicted consumption of an additional 80 mg caffeine was 1.01 (95% CI: 0.92, 1.11) for all EOC cases and 0.90 (95% CI: 0.73, 1.10) for high-grade serous cases.We found no evidence indicative of a strong association between EOC risk and genetically predicted coffee or caffeine levels. However, our estimates were not statistically inconsistent with earlier observational studies and we were unable to rule out small protective associations.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Hwang, Liang-Dar
|b 1
700 1 _ |a Cuellar-Partida, Gabriel
|b 2
700 1 _ |a Martin, Nicholas G
|b 3
700 1 _ |a Chenevix-Trench, Georgia
|b 4
700 1 _ |a Quinn, Michael C J
|b 5
700 1 _ |a Cornelis, Marilyn C
|b 6
700 1 _ |a Gharahkhani, Puya
|b 7
700 1 _ |a Webb, Penelope M
|b 8
700 1 _ |a MacGregor, Stuart
|b 9
700 1 _ |a Consortium, Ovarian Cancer Association
|b 10
|e Collaboration Author
700 1 _ |a Ong, Jue-Sheng
|b 11
700 1 _ |a Hwang, Liang-Dar
|b 12
700 1 _ |a Cuellar-Partida, Gabriel
|b 13
700 1 _ |a Bryne, Enda
|b 14
700 1 _ |a Fasching, Peter A
|b 15
700 1 _ |a Hein, Alexander
|b 16
700 1 _ |a Burghaus, Stefanie
|b 17
700 1 _ |a Beckmann, Matthias W
|b 18
700 1 _ |a Lambrechts, Diether
|b 19
700 1 _ |a Van Nieuwenhuysen, Els
|b 20
700 1 _ |a Vergote, Ignace
|b 21
700 1 _ |a Vanderstichele, Adriaan
|b 22
700 1 _ |a Swerdlow, Anthony J
|b 23
700 1 _ |a Jones, Michael
|b 24
700 1 _ |a Orr, Nicholas
|b 25
700 1 _ |a Schoemaker, Minouk
|b 26
700 1 _ |a Edwards, Digna Velez
|b 27
700 1 _ |a Brenton, James
|b 28
700 1 _ |a Benítez, Javier
|b 29
700 1 _ |a García, María J
|b 30
700 1 _ |a Rodriguez-Antona, Cristina
|b 31
700 1 _ |a Rossing, Mary Anne
|b 32
700 1 _ |a Turzanski-Fortner, Renée
|0 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
|b 33
|u dkfz
700 1 _ |a Riboli, Elio
|b 34
700 1 _ |a Chang-Claude, Jenny
|0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
|b 35
|u dkfz
700 1 _ |a Eilber, Ursula
|b 36
700 1 _ |a Wang-Gohrke, Shan
|b 37
700 1 _ |a Yannoukakos, Drakoulis
|b 38
700 1 _ |a Goodman, Marc T
|b 39
700 1 _ |a Bogdanova, Natalia
|b 40
700 1 _ |a Dörk, Thilo
|b 41
700 1 _ |a Duerst, Matthias
|b 42
700 1 _ |a Hillemanns, Peter
|b 43
700 1 _ |a Runnebaum, Ingo B
|b 44
700 1 _ |a Antonenkova, Natalia
|b 45
700 1 _ |a Butzow, Ralf
|b 46
700 1 _ |a Nevanlinna, Heli
|b 47
700 1 _ |a Pelttari, Liisa M
|b 48
700 1 _ |a Edwards, Robert P
|b 49
700 1 _ |a Kelley, Joseph L
|b 50
700 1 _ |a Modugno, Francesmary
|b 51
700 1 _ |a Moysich, Kirsten B
|b 52
700 1 _ |a Ness, Roberta B
|b 53
700 1 _ |a Cannioto, Rikki
|b 54
700 1 _ |a Heitz, Florian
|b 55
700 1 _ |a Karlan, Beth
|b 56
700 1 _ |a Olsson, Håkan
|b 57
700 1 _ |a Kjaer, Susanne K
|b 58
700 1 _ |a Jensen, Allan
|b 59
700 1 _ |a Giles, Graham G
|b 60
700 1 _ |a Bruinsma, Fiona
|b 61
700 1 _ |a Hildebrandt, Michelle A T
|b 62
700 1 _ |a Liang, Dong
|b 63
700 1 _ |a Wu, Xifeng
|b 64
700 1 _ |a Le Marchand, Loic
|b 65
700 1 _ |a Setiawan, V Wendy
|b 66
700 1 _ |a Permuth, Jennifer B
|b 67
700 1 _ |a Bisogna, Maria
|b 68
700 1 _ |a Dao, Fanny
|b 69
700 1 _ |a Levine, Douglas A
|b 70
700 1 _ |a Cramer, Daniel W
|b 71
700 1 _ |a Terry, Kathryn L
|b 72
700 1 _ |a Tworoger, Shelley S
|b 73
700 1 _ |a Stampfer, Meir
|b 74
700 1 _ |a Willet, Walter
|b 75
700 1 _ |a Missmer, Stacey
|b 76
700 1 _ |a Bjorge, Line
|b 77
700 1 _ |a Kopperud, Reidun K
|b 78
700 1 _ |a Bischof, Katharina
|b 79
700 1 _ |a Thomsen, Liv Cecilie Vestrheim
|b 80
700 1 _ |a Kiemeney, Lambertus A
|b 81
700 1 _ |a Massuger, Leon Fag
|b 82
700 1 _ |a Pejovic, Tanja
|b 83
700 1 _ |a Brooks-Wilson, Angela
|b 84
700 1 _ |a Olson, Sara H
|b 85
700 1 _ |a McGuire, Valerie
|b 86
700 1 _ |a Rothstein, Joseph H
|b 87
700 1 _ |a Sieh, Weiva
|b 88
700 1 _ |a Whittemore, Alice S
|b 89
700 1 _ |a Cook, Linda S
|b 90
700 1 _ |a Le, Nhu D
|b 91
700 1 _ |a Gilks, C Blake
|b 92
700 1 _ |a Gronwald, Jacek
|b 93
700 1 _ |a Jakubowska, Anna
|b 94
700 1 _ |a Lubiński, Jan
|b 95
700 1 _ |a Kluz, Tomasz
|b 96
700 1 _ |a Wentzensen, Nicolas
|b 97
700 1 _ |a Brinton, Louise
|b 98
700 1 _ |a Trabert, Britton
|b 99
700 1 _ |a Lissowska, Jolanta
|b 100
700 1 _ |a Høgdall, Estrid
|b 101
700 1 _ |a Høgdall, Claus K
|b 102
700 1 _ |a Sandler, Dale P
|b 103
700 1 _ |a Wolk, Alicja
|b 104
700 1 _ |a Tyrer, Jonathan P
|b 105
700 1 _ |a Song, Honglin
|b 106
700 1 _ |a Eccles, Diana
|b 107
700 1 _ |a Campbell, Ian
|b 108
700 1 _ |a Glasspool, Ros
|b 109
700 1 _ |a McNeish, Iain
|b 110
700 1 _ |a Paul, James
|b 111
700 1 _ |a Siddiqui, Nadeem
|b 112
700 1 _ |a Sutphen, Rebecca
|b 113
700 1 _ |a McLaughlin, John R
|b 114
700 1 _ |a Phelan, Catherine
|b 115
700 1 _ |a Anton-Culver, Hoda
|b 116
700 1 _ |a Ziogas, Argyrios
|b 117
700 1 _ |a May, Taymaa
|b 118
700 1 _ |a Gayther, Simon A
|b 119
700 1 _ |a Gentry-Maharaj, Aleksandra
|b 120
700 1 _ |a Menon, Usha
|b 121
700 1 _ |a Ramus, Susan J
|b 122
700 1 _ |a Wu, Anna H
|b 123
700 1 _ |a Huntsman, David
|b 124
700 1 _ |a deFazio, Anna
|b 125
700 1 _ |a Dansonka-Mieszkowska, Agnieszka
|b 126
700 1 _ |a Kupryjanczyk, Jolanta
|b 127
700 1 _ |a Moes-Sosnowska, Joanna
|b 128
700 1 _ |a Szafron, Lukasz Michal
|b 129
700 1 _ |a Cunningham, Julie M
|b 130
700 1 _ |a Winham, Stacey J
|b 131
700 1 _ |a Risch, Harvey A
|b 132
700 1 _ |a Goode, Ellen L
|b 133
700 1 _ |a Schildkraut, Joellen M
|b 134
700 1 _ |a Pearce, Celeste L
|b 135
700 1 _ |a Berchuck, Andrew
|b 136
700 1 _ |a Pharoah, Paul D P
|b 137
700 1 _ |a Martin, Nicholas G
|b 138
700 1 _ |a Chenevix-Trench, Georgia
|b 139
700 1 _ |a Quinn, Michael C J
|b 140
700 1 _ |a Cornelis, Marilyn C
|b 141
700 1 _ |a Gharahkhani, Puya
|b 142
700 1 _ |a Webb, Penelope M
|b 143
700 1 _ |a MacGregor, Stuart
|b 144
773 _ _ |a 10.1093/ije/dyx236
|g Vol. 47, no. 2, p. 450 - 459
|0 PERI:(DE-600)1494592-7
|n 2
|p 450 - 459
|t International journal of epidemiology
|v 47
|y 2018
|x 1464-3685
909 C O |o oai:inrepo02.dkfz.de:141709
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 33
|6 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 35
|6 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2018
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b INT J EPIDEMIOL : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b INT J EPIDEMIOL : 2017
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l Epidemiologie von Krebserkrankungen
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21