Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk
Chen X, Hoffmeister M, Brenner H
Nutrients · 11 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Case-control study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Clinical events such as disease or death
- Intake measured by
- Food frequency questionnaire
Who paid for it
- Funding
- Independent funding
- Government
- German Research Council
- Government
- German Federal Ministry of Education and Research
Based on 2 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2022-03-03 · Nutrients · vol. 14 · issue 5 · p. 1077
- Publisher
- Multidisciplinary Digital Publishing Institute
- Cited
- 18 citations · more than 84% of similar papers · 1.5× the field average
- References
- 30 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Colorectal Cancer Screening and Detection · Genetic Associations and Epidemiology · Genetic and phenotypic traits in livestock
- Keywords
- Colorectal cancer, Logistic regression, Confounding, Percentile, Medicine, Population, Case-control study, Oncology, Risk factor, Framingham Risk Score, Internal medicine, Biology, Demography, Cancer, Statistics, Mathematics, Environmental health
- MeSH
- humans, colorectal neoplasms, logistic models, risk factors, case-control studies, meat
3 authors
From DE
- Xuechen ChenGerman Cancer Research Center; Heidelberg University; University Hospital Heidelberg
- Michael HoffmeisterGerman Cancer Research Center; Heidelberg University
- Hermann Brenner · correspondingGerman Cancer Research Center; Heidelberg University; National Center for Tumor Diseases
Abstract
High red and processed meat intake (RPMI) is an established risk factor for colorectal cancer (CRC). We aimed to assess the impact of RPMI on CRC risk according to and in comparison with genetically determined risk, which was quantified by a polygenic risk score (PRS). RPMI and potential confounders (ascertained by questionnaire) and a PRS (based on 140 CRC-related loci) were obtained from 5109 CRC cases and 4134 controls in a population-based case−control study. Associations of RPMI with CRC risk across PRS levels were assessed using logistic regression models and compared to effect estimates of PRS using “genetic risk equivalent” (GRE), a novel metric for effective risk communication. RPMI multiple times/week, 1 time/day, and >1 time/day was associated with 19% (95% CI 1% to 41%), 41% (18% to 70%), and 73% (30% to 132%) increased CRC risk, respectively, when compared to RPMI ≤ 1 time/week. Associations were independent of PRS levels (pinteraction = 0.97). The effect of RPMI > 1 time/day was equivalent to the effect of having 42 percentiles higher PRS level (GRE 42, 95% CI 20−65). RPMI increases CRC risk regardless of PRS levels. Avoiding RPMI can compensate for a substantial proportion of polygenic risk for CRC.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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