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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
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Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat

Mariana C Stern1, Joel Sanchez Mendez1, Andre E Kim1

  • 1Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
|December 19, 2023
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Summary
This summary is machine-generated.

High red and processed meat intake increases colorectal cancer risk. Gene-environment interactions, specifically with SNPs rs4871179 and rs35352860, may explain this increased risk in certain populations.

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Area of Science:

  • Genetics and Epidemiology
  • Cancer Research
  • Nutritional Science

Background:

  • Established link between high red/processed meat consumption and increased colorectal cancer (CRC) risk.
  • Gene-environment (GxE) interactions are investigated to understand individual susceptibility.
  • Genome-wide analysis aims to identify genetic variants modifying meat-CRC associations.

Purpose of the Study:

  • To conduct a genome-wide gene-environment interaction analysis.
  • To identify specific genetic variants that modify the association between meat consumption and CRC risk.

Main Methods:

  • Pooled analysis of 29,842 CRC cases and 39,635 controls of European ancestry.
  • Quantification of red and processed meat intake using harmonized questionnaire data.
  • Genome-wide scan utilizing two-step EDGE and joint tests of GxE interaction.

Main Results:

  • Confirmed positive associations between red/processed meat intake and CRC risk.
  • Identified two significant genome-wide GxE interactions for red meat consumption.
  • rs4871179 (HAS2 downstream) and rs35352860 (SMAD7 intron) SNPs showed significant interactions with meat consumption and CRC risk.

Conclusions:

  • Two novel biomarkers (SNPs rs4871179 and rs35352860) support the role of meat consumption in increasing CRC risk.
  • These GxE interactions may elucidate CRC risk variations in specific population subgroups.