Longitudinal Analysis of Sweet Taste Preference Through Genetic and Phenotypic Data Integration

Abstract

Understanding the genetic basis of sweet taste preference is crucial for potential implications in diet-related health outcomes, such as obesity. This study identified genes and single nucleotide polymorphisms (SNPs) associated with sweet taste preferences over time. Data from the American Nurses’ Health Study (NHS1) and Health Professionals Follow-up Study (HPFS) cohorts were analyzed. Using tools like PLINK and METAL for genetic associations and FUMA for functional annotation, the study identified eight SNPs associated with sweet taste preferences. Notably, rs80115239 and rs12878143 were identified as key determinants of the highest and lowest associations with sweet taste preferences, respectively. Individuals with the rs80115239 (AA) genotype displayed a higher preference for sweet tastes, including chocolate and cake, but a lower preference for physical activity, fruits, and vegetables, particularly in females from the NHS1 cohort, linking this genotype to a higher obesity risk. Conversely, those with the rs12878143 (CC) genotype preferred fruits, vegetables, coffee, and tea, with a lower preference for sweetened beverages, but the correlation with obesity risk was less clear due to inconsistent data. In conclusion, these findings highlight the genetic influences on sweet taste preference and their potential role in personalized dietary recommendations and obesity management strategies.

Keywords

• sweet taste preference
• obesity
• personalized dietary recommendations
• longitudinal analysis