Association between polymorphisms in the <i>FADS</i> gene cluster and the plasma triacylglycerol response to an ω‐3 PUFA supplementation
Bibliographic record
Abstract
The purpose of the present study is to increase knowledge about the effects of a supplementation with omega‐3 (ω‐3) polyunsaturated fatty acids (PUFA) on lipid profile in relation to the presence of single‐nucleotide polymorphisms (SNPs) in the FADS gene cluster. Plasma lipid levels were measured in 122 subjects prior and after a 5 g/d fish oil (including 3 g/d of ω‐3 PUFA) supplement for 6‐weeks. DNA was extracted and then genotyping of 19 SNPs (covering 100% of the FADS gene cluster area) was performed using TaqMan technology. The ω‐3 PUFA supplementation had an independent effect on plasma TG levels, as expected. Thirty‐six individuals (29.6%) were classified as non‐responders, meaning there was no reduction of plasma TG levels, and eighty‐six (70.4%) were responders. Two SNPs ( rs174546 and rs174611 ) were significantly associated (p ≤ 0.05) with plasma triglyceride (TG) levels, before and after the supplementation. These results suggest that SNPs influencing plasma TG levels are also those influencing the plasma TG response to a TG‐lowering therapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".