Gene Environment Interactions and Predictors of Colorectal Cancer in Family-Based, Multi-Ethnic Groups

Journal of Personalized Medicine
S P K ShiaoTeodoro Bottiglieri

Abstract

For the personalization of polygenic/omics-based health care, the purpose of this study was to examine the gene-environment interactions and predictors of colorectal cancer (CRC) by including five key genes in the one-carbon metabolism pathways. In this proof-of-concept study, we included a total of 54 families and 108 participants, 54 CRC cases and 54 matched family friends representing four major racial ethnic groups in southern California (White, Asian, Hispanics, and Black). We used three phases of data analytics, including exploratory, family-based analyses adjusting for the dependence within the family for sharing genetic heritage, the ensemble method, and generalized regression models for predictive modeling with a machine learning validation procedure to validate the results for enhanced prediction and reproducibility. The results revealed that despite the family members sharing genetic heritage, the CRC group had greater combined gene polymorphism rates than the family controls (p< 0.05), onMTHFRC677T, MTRA2756G, MTRRA66G, andDHFR19 bp exceptMTHFRA1298C. Four racial groups presented different polymorphism rates for four genes (allp< 0.05) exceptMTHFRA1298C. Following the ensemble method, the most influential factors we...Continue Reading

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Methods Mentioned

BETA
genotyping
interaction
profilers
profiler

Software Mentioned

LogWorth
JMP Pro
SAS JMP

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