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Updated: Jan 20, 2026

Taste Preference Assay for Adult Drosophila
Published on: September 8, 2016
Sweet Taste Genetic Risk Score and Alignment to Diet Quality among Puerto Rican Adults in Massachusetts
Sachelly Julián-Serrano1, Hugo Pomares-Millan2, Kelsey M Mangano3
1Department of Public Health, University of Massachusetts Lowell, Lowell, MA, United States.
Higher genetic predisposition to sweet taste was linked to poorer diet quality in Puerto Rican adults, specifically lower adherence to the DASH diet and reduced intake of whole grains and vegetables.
Area of Science:
- Nutritional Genomics
- Public Health
- Genetic Epidemiology
Background:
- Genome-wide association studies (GWAS) have identified genetic variants (SNPs) linked to sweet taste perception.
- The relationship between genetic sweet taste predisposition and overall diet quality is not well understood.
Purpose of the Study:
- To investigate the association between a sweet-taste polygenic score (PGS) and diet quality indices in Puerto Rican older adults.
- To compare cross-sectional associations between genetic sweet taste sensitivity and adherence to DASH, AHEI-2010, and Mediterranean diets.
Main Methods:
- Utilized baseline data from 583 Boston Puerto Rican Health Study participants with genetic and dietary information.
- Constructed a weighted sweet-taste PGS using 38 SNPs associated with sweet taste perception.
- Assessed diet quality using the Alternate Healthy Eating Index-2010 (AHEI-2010), DASH, and Mediterranean diet (MeD) indices.
Main Results:
- A higher sweet-taste PGS showed an inverse association with the DASH diet quality.
- No significant association was found between sweet-taste PGS and AHEI-2010 or MeD.
- Increased sweet-taste PGS correlated with lower intake of whole grains, vegetables, and potentially nuts/legumes.
Conclusions:
- In Puerto Rican adults, a higher genetic predisposition for sweet taste is associated with lower DASH diet quality.
- Findings suggest a need for further research into taste perception, dietary intake, and genetic influences across diverse populations to guide interventions.
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