000168524 001__ 168524
000168524 005__ 20240229133610.0
000168524 0247_ $$2doi$$a10.1016/j.cgh.2021.04.028
000168524 0247_ $$2pmid$$apmid:33901663
000168524 0247_ $$2ISSN$$a1542-3565
000168524 0247_ $$2ISSN$$a1542-7714
000168524 0247_ $$2altmetric$$aaltmetric:104652530
000168524 037__ $$aDKFZ-2021-00956
000168524 041__ $$aEnglish
000168524 082__ $$a610
000168524 1001_ $$aPapadimitriou, Nikos$$b0
000168524 245__ $$aA prospective diet-wide association study for risk of colorectal cancer in EPIC.
000168524 260__ $$aNew York, NY$$bElsevier Science$$c2022
000168524 3367_ $$2DRIVER$$aarticle
000168524 3367_ $$2DataCite$$aOutput Types/Journal article
000168524 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1647270339_27307
000168524 3367_ $$2BibTeX$$aARTICLE
000168524 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000168524 3367_ $$00$$2EndNote$$aJournal Article
000168524 500__ $$aVolume 20, Issue 4, April 2022, Pages 864-873.e13
000168524 520__ $$aEvidence 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.
000168524 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000168524 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000168524 650_7 $$2Other$$acohort study
000168524 650_7 $$2Other$$acolorectal cancer
000168524 650_7 $$2Other$$aepidemiology
000168524 650_7 $$2Other$$anutrition
000168524 7001_ $$aBouras, Emmanouil$$b1
000168524 7001_ $$avan den Brandt, Piet A$$b2
000168524 7001_ $$aMuller, David C$$b3
000168524 7001_ $$aPapadopoulou, Areti$$b4
000168524 7001_ $$aHeath, Alicia K$$b5
000168524 7001_ $$aCritselis, Elena$$b6
000168524 7001_ $$aGunter, Marc J$$b7
000168524 7001_ $$aVineis, Paolo$$b8
000168524 7001_ $$aFerrari, Pietro$$b9
000168524 7001_ $$aWeiderpass, Elisabete$$b10
000168524 7001_ $$aBoeing, Heiner$$b11
000168524 7001_ $$aBastide, Nadia$$b12
000168524 7001_ $$aMerritt, Melissa A$$b13
000168524 7001_ $$aLopez, David S$$b14
000168524 7001_ $$aBergmann, Manuela M$$b15
000168524 7001_ $$aPerez-Cornago, Aurora$$b16
000168524 7001_ $$aSchulze, Matthias$$b17
000168524 7001_ $$aSkeie, Guri$$b18
000168524 7001_ $$0P:(DE-He78)0644671d309776d45e0fc705d1156cac$$aSrour, Bernard$$b19$$udkfz
000168524 7001_ $$aEriksen, Anne Kirstine$$b20
000168524 7001_ $$aBoden, Stina$$b21
000168524 7001_ $$aJohansson, Ingegerd$$b22
000168524 7001_ $$aNøst, Therese Haugdahl$$b23
000168524 7001_ $$aLukic, Marco$$b24
000168524 7001_ $$aRicceri, Fulvio$$b25
000168524 7001_ $$aEricson, Ulrika$$b26
000168524 7001_ $$aHuerta, José María$$b27
000168524 7001_ $$aDahm, Christina C$$b28
000168524 7001_ $$aAgnoli, Claudia$$b29
000168524 7001_ $$aAmiano, Pilar Exezarreta$$b30
000168524 7001_ $$aTjønneland, Anne$$b31
000168524 7001_ $$aGurrea, Aurelio Barricarte$$b32
000168524 7001_ $$aBueno-de-Mesquita, Bas$$b33
000168524 7001_ $$aArdanaz, Eva$$b34
000168524 7001_ $$aBerntsson, Jonna$$b35
000168524 7001_ $$aSánchez, Maria-Jose$$b36
000168524 7001_ $$aTumino, Rosario$$b37
000168524 7001_ $$aPanico, Salvatore$$b38
000168524 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b39$$udkfz
000168524 7001_ $$aJakszyn, Paula$$b40
000168524 7001_ $$aMasala, Giovanna$$b41
000168524 7001_ $$aDerksen, Jeroen W G$$b42
000168524 7001_ $$aQuirós, J Ramón$$b43
000168524 7001_ $$aSeveri, Gianluca$$b44
000168524 7001_ $$aCross, Amanda J$$b45
000168524 7001_ $$aRiboli, Ellio$$b46
000168524 7001_ $$aTzoulaki, Ioanna$$b47
000168524 7001_ $$aTsilidis, Konstantinos K$$b48
000168524 773__ $$0PERI:(DE-600)2102638-5$$a10.1016/j.cgh.2021.04.028$$gp. S1542356521004626$$n4$$p 864-873.e13$$tClinical gastroenterology and hepatology$$v20$$x1542-3565$$y2022
000168524 909CO $$ooai:inrepo02.dkfz.de:168524$$pVDB
000168524 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)0644671d309776d45e0fc705d1156cac$$aDeutsches Krebsforschungszentrum$$b19$$kDKFZ
000168524 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aDeutsches Krebsforschungszentrum$$b39$$kDKFZ
000168524 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000168524 9130_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000168524 9141_ $$y2021
000168524 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-27
000168524 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-27
000168524 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCLIN GASTROENTEROL H : 2021$$d2022-11-16
000168524 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-16
000168524 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-16
000168524 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-16
000168524 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-16
000168524 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-16
000168524 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bCLIN GASTROENTEROL H : 2021$$d2022-11-16
000168524 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lC020 Epidemiologie von Krebs$$x0
000168524 980__ $$ajournal
000168524 980__ $$aVDB
000168524 980__ $$aI:(DE-He78)C020-20160331
000168524 980__ $$aUNRESTRICTED