Why the study?
Genetic risk scores have partially improved understanding of moderate hypertriglyceridemia etiology, and this study aimed to assess whether variability is due to interactions between clinical variables and genetic risk score.
Does BMI modify the association between a polygenic risk score and triglyceride concentrations in patients with suspected polygenic hypertriglyceridemia?
Does BMI modify the association between a polygenic risk score and triglyceride concentrations in patients with suspected polygenic hypertriglyceridemia?
The association between a polygenic risk score and triglyceride levels is significantly amplified by higher BMI, suggesting weight management may be particularly important in genetically predisposed individuals.
Answers are grounded in this paper and cite their sources.
GRS-clinical interactions may refine polygenic HTG assessment; leaves open whether GRS adds value beyond standard evaluation.
Background: Genetic risk scores (GRSs) have partially improved the understanding of the etiology of moderate hypertriglyceridemia (HTG), which until recently was mainly assessed by secondary predisposing causes. The main objective of this study was to assess whether this variability is due to the interaction between clinical variables and GRS. Methods: We analyzed 276 patients with suspected polygenic HTG. An unweighted GRS was developed with the following variants: c.724C > G (ZPR1 gene), c.56C > G (APOA5 gene), c.1337T > C (GCKR gene), g.19986711A > G (LPL gene), c.107 + 1647T > C (BAZ1B gene) and g.125478730A > T (TRIB gene). Interactions between the GRS and clinical variables (body mass index (BMI), diabetes mellitus, diet, physical activity, alcohol consumption, age and gender) were evaluated. Results: The GRS was associated with triglyceride (TG) concentrations. There was a significant interaction between BMI and GRS, with the intensity of the relationship between the number of alleles and the TG concentration being greater in individuals with a higher BMI. Conclusions: GRS is associated with plasma TG concentrations and is markedly influenced by BMI. This finding could improve the stratification of patients with a high genetic risk for HTG who could benefit from more intensive healthcare interventions.
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Esteve-Luque et al. (2022) studied this question.
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