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Alper Acar

As seen in: Frontiers
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Articles

Explainable machine learning reveals the role of taste-related genetic variants in body mass index: a nutrigenetic perspective

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By Cerrahpasa Faculty, Alper Acar, Esma Gokcen
| Frontiers
Abstract Background: Taste perception–related genetic variants may influence dietary behavior and energy balance; however, their relationship with body mass index (BMI) remains unclear. This study aimed to investigate the association between taste-related genetic variants and BMI using both statistical analysis and an explainable machine learning approach. Methods: This retrospective observational study included 200 individuals aged 5–60 years with available genotype and BMI data.
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