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Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk
by
Chen, Xuechen
, Hoffmeister, Michael
, Brenner, Hermann
in
Age
/ Case-Control Studies
/ Colonoscopy
/ Colorectal cancer
/ colorectal neoplasms
/ Colorectal Neoplasms - etiology
/ Colorectal Neoplasms - genetics
/ Family medical history
/ Genomes
/ Humans
/ Logistic Models
/ Meat
/ Meat - adverse effects
/ meat consumption
/ Medical research
/ Nonsteroidal anti-inflammatory drugs
/ Population
/ processed meat
/ Questionnaires
/ regression analysis
/ risk communication
/ Risk Factors
/ Software
2022
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Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk
by
Chen, Xuechen
, Hoffmeister, Michael
, Brenner, Hermann
in
Age
/ Case-Control Studies
/ Colonoscopy
/ Colorectal cancer
/ colorectal neoplasms
/ Colorectal Neoplasms - etiology
/ Colorectal Neoplasms - genetics
/ Family medical history
/ Genomes
/ Humans
/ Logistic Models
/ Meat
/ Meat - adverse effects
/ meat consumption
/ Medical research
/ Nonsteroidal anti-inflammatory drugs
/ Population
/ processed meat
/ Questionnaires
/ regression analysis
/ risk communication
/ Risk Factors
/ Software
2022
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Do you wish to request the book?
Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk
by
Chen, Xuechen
, Hoffmeister, Michael
, Brenner, Hermann
in
Age
/ Case-Control Studies
/ Colonoscopy
/ Colorectal cancer
/ colorectal neoplasms
/ Colorectal Neoplasms - etiology
/ Colorectal Neoplasms - genetics
/ Family medical history
/ Genomes
/ Humans
/ Logistic Models
/ Meat
/ Meat - adverse effects
/ meat consumption
/ Medical research
/ Nonsteroidal anti-inflammatory drugs
/ Population
/ processed meat
/ Questionnaires
/ regression analysis
/ risk communication
/ Risk Factors
/ Software
2022
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Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk
Journal Article
Red and Processed Meat Intake, Polygenic Risk Score, and Colorectal Cancer Risk
2022
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Overview
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.
Publisher
MDPI AG,MDPI
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