001     143174
005     20240229112542.0
024 7 _ |a 10.1093/ije/dyy244
|2 doi
024 7 _ |a pmid:30476131
|2 pmid
024 7 _ |a 0300-5771
|2 ISSN
024 7 _ |a 1464-3685
|2 ISSN
024 7 _ |a altmetric:51807499
|2 altmetric
037 _ _ |a DKFZ-2019-00773
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Wang, Xiaoliang
|b 0
245 _ _ |a Mendelian randomization analysis of C-reactive protein on colorectal cancer risk.
260 _ _ |a Oxford
|c 2019
|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 1573806994_5137
|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 Chronic inflammation is a risk factor for colorectal cancer (CRC). Circulating C-reactive protein (CRP) is also moderately associated with CRC risk. However, observational studies are susceptible to unmeasured confounding or reverse causality. Using genetic risk variants as instrumental variables, we investigated the causal relationship between genetically elevated CRP concentration and CRC risk, using a Mendelian randomization approach.Individual-level data from 30 480 CRC cases and 22 844 controls from 33 participating studies in three international consortia were used: the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colorectal Transdisciplinary Study (CORECT) and the Colon Cancer Family Registry (CCFR). As instrumental variables, we included 19 single nucleotide polymorphisms (SNPs) previously associated with CRP concentration. The SNP-CRC associations were estimated using a logistic regression model adjusted for age, sex, principal components and genotyping phases. An inverse-variance weighted method was applied to estimate the causal effect of CRP on CRC risk.Among the 19 CRP-associated SNPs, rs1260326 and rs6734238 were significantly associated with CRC risk (P = 7.5 × 10-4, and P = 0.003, respectively). A genetically predicted one-unit increase in the log-transformed CRP concentrations (mg/l) was not associated with increased risk of CRC [odds ratio (OR) = 1.04; 95% confidence interval (CI): 0.97, 1.12; P = 0.256). No evidence of association was observed in subgroup analyses stratified by other risk factors.In spite of adequate statistical power to detect moderate association, we found genetically elevated CRP concentration was not associated with increased risk of CRC among individuals of European ancestry. Our findings suggested that circulating CRP is unlikely to be a causal factor in CRC development.
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 Dai, James Y
|b 1
700 1 _ |a Albanes, Demetrius
|b 2
700 1 _ |a Arndt, Volker
|0 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0
|b 3
|u dkfz
700 1 _ |a Berndt, Sonja I
|b 4
700 1 _ |a Bézieau, Stéphane
|b 5
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 6
|u dkfz
700 1 _ |a Buchanan, Daniel D
|b 7
700 1 _ |a Butterbach, Katja
|0 P:(DE-He78)7ca7eafba864e5c3ebb7598149380452
|b 8
|u dkfz
700 1 _ |a Caan, Bette
|b 9
700 1 _ |a Casey, Graham
|b 10
700 1 _ |a Campbell, Peter T
|b 11
700 1 _ |a Chan, Andrew T
|b 12
700 1 _ |a Chen, Zhengyi
|b 13
700 1 _ |a Chang-Claude, Jenny
|0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
|b 14
|u dkfz
700 1 _ |a Cotterchio, Michelle
|b 15
700 1 _ |a Easton, Douglas F
|b 16
700 1 _ |a Giles, Graham G
|b 17
700 1 _ |a Giovannucci, Edward
|b 18
700 1 _ |a Grady, William M
|b 19
700 1 _ |a Hoffmeister, Michael
|0 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
|b 20
|u dkfz
700 1 _ |a Hopper, John L
|b 21
700 1 _ |a Hsu, Li
|b 22
700 1 _ |a Jenkins, Mark A
|b 23
700 1 _ |a Joshi, Amit D
|b 24
700 1 _ |a Lampe, Johanna W
|b 25
700 1 _ |a Larsson, Susanna C
|b 26
700 1 _ |a Lejbkowicz, Flavio
|b 27
700 1 _ |a Li, Li
|b 28
700 1 _ |a Lindblom, Annika
|b 29
700 1 _ |a Le Marchand, Loic
|b 30
700 1 _ |a Martin, Vicente
|b 31
700 1 _ |a Milne, Roger L
|b 32
700 1 _ |a Moreno, Victor
|b 33
700 1 _ |a Newcomb, Polly A
|b 34
700 1 _ |a Offitt, Kenneth
|b 35
700 1 _ |a Ogino, Shuji
|b 36
700 1 _ |a Pharoah, Paul D P
|b 37
700 1 _ |a Pinchev, Mila
|b 38
700 1 _ |a Potter, John D
|b 39
700 1 _ |a Rennert, Hedy S
|b 40
700 1 _ |a Rennert, Gad
|b 41
700 1 _ |a Saliba, Walid
|b 42
700 1 _ |a Schafmayer, Clemens
|b 43
700 1 _ |a Schoen, Robert E
|b 44
700 1 _ |a Schrotz-King, Petra
|0 P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86
|b 45
|u dkfz
700 1 _ |a Slattery, Martha L
|b 46
700 1 _ |a Song, Mingyang
|b 47
700 1 _ |a Stegmaier, Christa
|b 48
700 1 _ |a Weinstein, Stephanie J
|b 49
700 1 _ |a Wolk, Alicja
|b 50
700 1 _ |a Woods, Michael O
|b 51
700 1 _ |a Wu, Anna H
|b 52
700 1 _ |a Gruber, Stephen B
|b 53
700 1 _ |a Peters, Ulrike
|b 54
700 1 _ |a White, Emily
|b 55
773 _ _ |a 10.1093/ije/dyy244
|0 PERI:(DE-600)1494592-7
|n 3
|p 767-780
|t International journal of epidemiology
|v 48
|y 2019
|x 1464-3685
909 C O |p VDB
|o oai:inrepo02.dkfz.de:143174
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)7ca7eafba864e5c3ebb7598149380452
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 20
|6 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 45
|6 P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86
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 2019
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)C070-20160331
|k C070
|l Klinische Epidemiologie und Alternsforschung
|x 0
920 1 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 1
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l Epidemiologie von Krebserkrankungen
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)C120-20160331
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21