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Cross-sectional gene-diet interaction study on fish oil and omega-3 levels in UK Biobank

Cross-sectional gene-diet interaction study on fish oil and omega-3 levels in UK Biobank
Photo by Y S / Unsplash
Key Takeaway
Consider that fish oil may raise omega-3 levels more in those with a low genetic risk score, but this is only an association.

This is a cross-sectional gene-diet interaction study using data from the UK Biobank. The scope was to examine how fish oil supplementation (FOS) interacts with genetic predisposition, measured by a polygenic score (PGS), to influence circulating omega-3 fatty acid concentrations.

In European ancestry participants in the bottom 5% of the PGS distribution, FOS was significantly associated with a 0.40 SD increase in total omega-3 fatty acids (95% CI: 0.39-0.44). The association effect was 11.1% larger than the population average (beta = 0.36; 95% CI: 0.35-0.37; PInt = 0.016) and 42.8% larger than that in participants in the top 5% of the PGS distribution (beta = 0.28 SD; 95% CI: 0.25-0.32; PInt = 4.03e-10).

The authors note this is an observational study, so associations are reported, not causation. Limitations were not detailed in the provided information. The authors suggest these findings support the development of genome-informed precision nutrition, but this relevance is framed cautiously given the study design.

Study Details

Sample sizen = 136,016
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Background: Several genetic variants have been identified to modify the effects of fish oil supplementation (FOS) on increasing circulating omega-3 fatty acids, but it remains unexplored whether polygenic predisposition to low circulating omega-3 fatty acids modifies these effects. Objective: To test if polygenic scores (PGS) for circulating omega-3 fatty acids modify the associations of FOS with corresponding circulating concentrations. Methods: We developed PGS models for absolute circulating concentrations of total omega-3 fatty acids (Omega-3), docosahexaenoic acid (DHA), and their relative percentages in total fatty acids (Omega-3% and DHA%), using a multi-ethnic genome-wide association study (N=136,016). PGS models were validated in 437,803 UK Biobank participants of European (EUR), Central/South Asian (CSA), African, and East Asian genetic ancestries. Linear models tested PGS-by-FOS interactions on corresponding observed circulating concentrations. Discovery analysis was performed separately in 237,380 EUR participants and each non-EUR group. Replication analyses were performed using oily fish intake and in another 178,935 EUR participants. Results: In EUR participants, PGS explained 5.3-11.1% of the phenotypic variance, and significant PGS-by-FOS interactions were detected across all four circulating omega-3 traits. Among participants in the bottom 5% of the PGS distribution, FOS was significantly associated with a 0.40 SD (95% CI: 0.39-0.44) increase in Omega-3. This association effect was 11.1% larger than the population average (beta = 0.36; 95% CI: 0.35-0.37; PInt = 0.016) and 42.8% larger than that in participants in the top 5% of the PGS distribution (beta = 0.28 SD; 95% CI: 0.25-0.32; PInt = 4.03e-10). These interaction patterns were consistently observed in CSA ancestry and confirmed in replication and sensitivity analyses. Conclusions: PGS modify the associations of FOS with circulating omega-3 fatty acids in EUR and CSA populations, with larger FOS effects in participants with lower PGS. These findings support the development of genome-informed precision nutrition.
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