001     168524
005     20240229133610.0
024 7 _ |a 10.1016/j.cgh.2021.04.028
|2 doi
024 7 _ |a pmid:33901663
|2 pmid
024 7 _ |a 1542-3565
|2 ISSN
024 7 _ |a 1542-7714
|2 ISSN
024 7 _ |a altmetric:104652530
|2 altmetric
037 _ _ |a DKFZ-2021-00956
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Papadimitriou, Nikos
|b 0
245 _ _ |a A prospective diet-wide association study for risk of colorectal cancer in EPIC.
260 _ _ |a New York, NY
|c 2022
|b Elsevier Science
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 1647270339_27307
|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
500 _ _ |a Volume 20, Issue 4, April 2022, Pages 864-873.e13
520 _ _ |a Evidence regarding the association of dietary exposures with colorectal cancer (CRC) risk is not consistent with a few exceptions. Therefore, we conducted a diet-wide association study (DWAS) in the European Prospective Investigation into Cancer and Nutrition (EPIC) to evaluate the associations between several dietary exposures with CRC risk.The association of 92 food and nutrient intakes with CRC risk was assessed in 386,792 participants, 5,069 of whom developed incident CRC. Correction for multiple comparisons was performed using the false discovery rate, and emerging associations were examined in the Netherlands Cohort Study (NLCS). Multiplicative gene-nutrient interactions were also tested in EPIC based on known CRC-associated loci.In EPIC, alcohol, liquor/spirits, wine, beer/cider, soft drinks, and pork were positively associated with CRC, whereas milk, cheese, calcium, phosphorus, magnesium, potassium, riboflavin, vitamin B6, beta-carotene, fruit, fibre, non-white bread, banana, and total protein intakes were inversely associated. Of these 20 associations, 13 were replicated in NLCS, for which a meta-analysis was performed, namely alcohol (summary HR per 1 SD increment in intake: 1.07; 95%CI:1.04-1.09), liquor/spirits (1.04; 1.02-1.06), wine (1.04;1.02-1.07), beer/cider (1.06;1.04-1.08), milk (0.95;0.93-0.98), cheese (0.96;0.94-0.99), calcium (0.93;0.90-0.95), phosphorus (0.92;0.90-0.95), magnesium (0.95;0.92-0.98), potassium (0.96;0.94-0.99), riboflavin (0.94;0.92-0.97), beta-carotene (0.96;0.93-0.98), and total protein (0.94;0.92-0.97). None of the gene-nutrient interactions were significant after adjustment for multiple comparisons.Our findings confirm a positive association for alcohol and an inverse association for dairy products and calcium with CRC risk, and also suggest a lower risk at higher dietary intakes of phosphorus, magnesium, potassium, riboflavin, beta-carotene and total protein.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
650 _ 7 |a cohort study
|2 Other
650 _ 7 |a colorectal cancer
|2 Other
650 _ 7 |a epidemiology
|2 Other
650 _ 7 |a nutrition
|2 Other
700 1 _ |a Bouras, Emmanouil
|b 1
700 1 _ |a van den Brandt, Piet A
|b 2
700 1 _ |a Muller, David C
|b 3
700 1 _ |a Papadopoulou, Areti
|b 4
700 1 _ |a Heath, Alicia K
|b 5
700 1 _ |a Critselis, Elena
|b 6
700 1 _ |a Gunter, Marc J
|b 7
700 1 _ |a Vineis, Paolo
|b 8
700 1 _ |a Ferrari, Pietro
|b 9
700 1 _ |a Weiderpass, Elisabete
|b 10
700 1 _ |a Boeing, Heiner
|b 11
700 1 _ |a Bastide, Nadia
|b 12
700 1 _ |a Merritt, Melissa A
|b 13
700 1 _ |a Lopez, David S
|b 14
700 1 _ |a Bergmann, Manuela M
|b 15
700 1 _ |a Perez-Cornago, Aurora
|b 16
700 1 _ |a Schulze, Matthias
|b 17
700 1 _ |a Skeie, Guri
|b 18
700 1 _ |a Srour, Bernard
|0 P:(DE-He78)0644671d309776d45e0fc705d1156cac
|b 19
|u dkfz
700 1 _ |a Eriksen, Anne Kirstine
|b 20
700 1 _ |a Boden, Stina
|b 21
700 1 _ |a Johansson, Ingegerd
|b 22
700 1 _ |a Nøst, Therese Haugdahl
|b 23
700 1 _ |a Lukic, Marco
|b 24
700 1 _ |a Ricceri, Fulvio
|b 25
700 1 _ |a Ericson, Ulrika
|b 26
700 1 _ |a Huerta, José María
|b 27
700 1 _ |a Dahm, Christina C
|b 28
700 1 _ |a Agnoli, Claudia
|b 29
700 1 _ |a Amiano, Pilar Exezarreta
|b 30
700 1 _ |a Tjønneland, Anne
|b 31
700 1 _ |a Gurrea, Aurelio Barricarte
|b 32
700 1 _ |a Bueno-de-Mesquita, Bas
|b 33
700 1 _ |a Ardanaz, Eva
|b 34
700 1 _ |a Berntsson, Jonna
|b 35
700 1 _ |a Sánchez, Maria-Jose
|b 36
700 1 _ |a Tumino, Rosario
|b 37
700 1 _ |a Panico, Salvatore
|b 38
700 1 _ |a Katzke, Verena
|0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
|b 39
|u dkfz
700 1 _ |a Jakszyn, Paula
|b 40
700 1 _ |a Masala, Giovanna
|b 41
700 1 _ |a Derksen, Jeroen W G
|b 42
700 1 _ |a Quirós, J Ramón
|b 43
700 1 _ |a Severi, Gianluca
|b 44
700 1 _ |a Cross, Amanda J
|b 45
700 1 _ |a Riboli, Ellio
|b 46
700 1 _ |a Tzoulaki, Ioanna
|b 47
700 1 _ |a Tsilidis, Konstantinos K
|b 48
773 _ _ |a 10.1016/j.cgh.2021.04.028
|g p. S1542356521004626
|0 PERI:(DE-600)2102638-5
|n 4
|p 864-873.e13
|t Clinical gastroenterology and hepatology
|v 20
|y 2022
|x 1542-3565
909 C O |p VDB
|o oai:inrepo02.dkfz.de:168524
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 19
|6 P:(DE-He78)0644671d309776d45e0fc705d1156cac
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 39
|6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
913 0 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Cancer risk factors and prevention
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-27
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-27
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CLIN GASTROENTEROL H : 2021
|d 2022-11-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2022-11-16
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b CLIN GASTROENTEROL H : 2021
|d 2022-11-16
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21