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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Interactions Between ADIPOQ rs1501299 Polymorphism, Dietary Macronutrient Composition, and Gastric Cancer Risk:
Vu Anh Trong Dam1, Madhawa Gunathilake2, Jeonghee Lee2
1Department of Public Health & AI, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea.
Objective:
The role of overall macronutrient balance in gastric cancer (GC) risk remains unclear. This study investigated the associations of the Ketogenic Ratio (KR) and Simplified Ketogenic Ratio (sKR), as composite indicators of macronutrient composition, with GC risk, and examined potential modification by the ADIPOQ rs1501299 genotype.
Methods:
A hospital-based case-control study was conducted among 376 GC cases and 752 controls. Dietary intake was assessed using a validated semi-quantitative food frequency questionnaire. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Interactions between KR, sKR, the ADIPOQ rs1501299 polymorphism, and GC risk were evaluated using multiplicative terms in regression models.
Results:
The ADIPOQ rs1501299 polymorphism alone was not associated with GC risk. Higher KR and sKR were significantly associated with reduced GC risk (KR: OR = 0.64; 95% CI = 0.44-0.93; sKR: OR = 0.59; 95% CI = 0.40-0.86). Notably, a significant gene-diet interaction was observed strictly for sKR, where this association was more pronounced among overweight/obese individuals carrying the ADIPOQ rs1501299 G/T or T/T genotypes (OR = 0.33, 95% CI: 0.16-0.66, P interaction = 0.038). In contrast, no significant interaction was found between KR and the ADIPOQ rs1501299 genotype.
Conclusion:
Higher KR and sKR are inversely associated with GC risk. The ADIPOQ rs1501299 genotype significantly modifies the association between sKR and GC risk, specifically among overweight/obese individuals. Future studies should focus on developing and validating standard measurements in nutritional epidemiology to elucidate biological pathways from gene-diet interactions.
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Single Nucleotide Polymorphisms-SNPs
