Abstract 819: Consumption of fruits, vegetables and fiber and risk of colorectal cancer: A gene environment interaction analysis

Introduction: Consumption of fruits, vegetables and fiber has been associated with lower colorectal cancer (CRC) risk however, it is unclear if genetic variants can modify these associations. Methods: Within three genetic CRC consortia including up to 76,157 participants (32,859 cases and 43,298 con...

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Veröffentlicht in:Cancer research (Chicago, Ill.) Ill.), 2021-07, Vol.81 (13_Supplement), p.819-819
Hauptverfasser: Papadimitriou, Nikos, Hidaka, Akihisa, Kim, Andre, Dimou, Niki, Murphy, Neil, Berndt, Sonja I., Conti, David, Campbell, Peter T., Casey, Graham, Figueiredo, Jane C., Tsilidis, Konstantinos K., Gruber, Stephen B., Harlid, Sophia, Lin, Yi, Moreno, Victor, Sakoda, Lori C., Obrero, Virginia D., Hsu, Li, Gauderman, William J., Gunter, Marc, Peters, Ulrike
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Sprache:eng
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Zusammenfassung:Introduction: Consumption of fruits, vegetables and fiber has been associated with lower colorectal cancer (CRC) risk however, it is unclear if genetic variants can modify these associations. Methods: Within three genetic CRC consortia including up to 76,157 participants (32,859 cases and 43,298 controls) of European descent: the Colorectal Cancer Family Registry (CCFR), the Colorectal Cancer Transdisciplinary (CORECT) Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), one-step [logistic regression case-control analysis and joint two- and three-degrees of freedom (DF) tests] and two-step methods were implemented to identify novel and biologically plausible gene-environment interactions. Results: Fruits, vegetables and fiber consumption were inversely associated with CRC with odds ratios per quartile increase of 0.89 [95% confidence interval (CI): 0.86, 0.92], 0.91 (95% CI: 0.88, 0.94) and 0.86 (95% CI: 0.84, 0.89) respectively. The logistic regression analysis identified significant interaction effects between rs142981275 adjacent to the ACOT1 gene and fruits consumption (pval:1.91E-8) and the 2DF test, which jointly considers G and GxE effects, also identified this SNP. The 3DF test also considers G and GxE information and further revealed four loci associated with CRC risk, in the genes NEGR1(rs1620977), ZRANB3 (rs1561277), MCM6 (rs4988235), R3HDM1(rs12465802) (all pval:
ISSN:0008-5472
1538-7445
DOI:10.1158/1538-7445.AM2021-819