Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk
Stern MC, Sanchez Mendez J, Kim AE, Obón-Santacana M, Moratalla-Navarro F, Martín V, Moreno V, Lin Y, Bien SA, Qu C, Su YR, White E, Harrison TA, Huyghe JR, Tangen CM, Newcomb PA, Phipps AI, Thomas CE, Kawaguchi ES, Lewinger JP, Morrison JL, Conti DV, Wang J, Thomas DC, Platz EA, Visvanathan K, Keku TO, Newton CC, Um CY, Kundaje A, Shcherbina A, Murphy N, Gunter MJ, Dimou N, Papadimitriou N, Bézieau S, van Duijnhoven FJB, Männistö S, Rennert G, Wolk A, Hoffmeister M, Brenner H, Chang-Claude J, Tian Y, Le Marchand L, Cotterchio M, Tsilidis KK, Bishop DT, Melaku YA, Lynch BM, Buchanan DD, Ulrich CM, Ose J, Peoples AR, Pellatt AJ, Li L, Devall MAM, Campbell PT, Albanes D, Weinstein SJ, Berndt SI, Gruber SB, Ruiz-Narvaez E, Song M, Joshi AD, Drew DA, Petrick JL, Chan AT, Giannakis M, Peters U, Hsu L, Gauderman WJ
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 14 citations
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Publication
- Published
- 2023-12-19 · Cancer Epidemiol Biomarkers Prev · vol. 33 · issue 3 · pp. 400–410
- Publisher
- American Association for Cancer Research
- Cited
- 19 citations · more than 95% of similar papers · 4.4× the field average
- Impact
- Top 10% most cited in its field
- References
- 58 works
- Access
- Open access (repository copy)
- Research areas
- Nutritional Studies and Diet · Genetic Associations and Epidemiology · Meat and Animal Product Quality
- Keywords
- Red meat, Colorectal cancer, Processed meat, Confidence interval, Medicine, Genome-wide association study, Genotyping, Quartile, Single-nucleotide polymorphism, Internal medicine, Cancer, Genetics, Biology, Genotype, Food science, Gene, Pathology
- MeSH
- humans, colorectal neoplasms, risk factors, meat, gene-environment interaction, red meat
72 authors
From US, ES, FR, GB, NL, FI, IL, SE, DE, CN, CA, AU
- Mariana Carla Stern · correspondingUniversity of Southern California; USC Norris Comprehensive Cancer Center
- Joel Sanchez MendezUniversity of Southern California; USC Norris Comprehensive Cancer Center
- Andre E. KimUniversity of Southern California; USC Norris Comprehensive Cancer Center
- Mireia Obón‐SantacanaBellvitge University Hospital; Institut d'Investigació Biomédica de Bellvitge; Institut Català d'Oncologia; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
- Ferrán Moratalla-NavarroBellvitge University Hospital; Institut d'Investigació Biomédica de Bellvitge; Institut Català d'Oncologia; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública; Universitat de Barcelona
- Vicente MartínCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública; Universidad de León
Abstract
Background
High red meat and/or processed meat consumption are established colorectal cancer risk factors. We conducted a genome-wide gene-environment (GxE) interaction analysis to identify genetic variants that may modify these associations.
Methods
A pooled sample of 29,842 colorectal cancer cases and 39,635 controls of European ancestry from 27 studies were included. Quantiles for red meat and processed meat intake were constructed from harmonized questionnaire data. Genotyping arrays were imputed to the Haplotype Reference Consortium. Two-step EDGE and joint tests of GxE interaction were utilized in our genome-wide scan.
Results
Meta-analyses confirmed positive associations between increased consumption of red meat and processed meat with colorectal cancer risk [per quartile red meat OR = 1.30; 95% confidence interval (CI) = 1.21-1.41; processed meat OR = 1.40; 95% CI = 1.20-1.63]. Two significant genome-wide GxE interactions for red meat consumption were found. Joint GxE tests revealed the rs4871179 SNP in chromosome 8 (downstream of HAS2); greater than median of consumption ORs = 1.38 (95% CI = 1.29-1.46), 1.20 (95% CI = 1.12-1.27), and 1.07 (95% CI = 0.95-1.19) for CC, CG, and GG, respectively. The two-step EDGE method identified the rs35352860 SNP in chromosome 18 (SMAD7 intron); greater than median of consumption ORs = 1.18 (95% CI = 1.11-1.24), 1.35 (95% CI = 1.26-1.44), and 1.46 (95% CI = 1.26-1.69) for CC, CT, and TT, respectively.
Conclusions
We propose two novel biomarkers that support the role of meat consumption with an increased risk of colorectal cancer.
Impact
The reported GxE interactions may explain the increased risk of colorectal cancer in certain population subgroups.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
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