SynthesisThe British journal of nutrition2012
Interactions between dietary n-3 fatty acids and genetic variants and risk of disease.
Synthesis in The British journal of nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05210023 (Effect of a Nutrigenetic Intervention on Blood Lipid Markers and Body Composition of Adults With Overweight and Obesity), which is not on this map. Cited by 26 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of a Nutrigenetic Intervention on Blood Lipid Markers and Body Composition of Adults With Overweight and Obesity
Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Gene-diet interactions and cardiovascular diseases: a systematic review of observational and clinical trials.BMC cardiovascular disorders · 2022Pooled it
- Pooled it
- Personalized Dietary Recommendations Based on Lipid-Related Genetic Variants: A Systematic Review.Frontiers in nutrition · 2022Pooled it
- Gene-environment interactions and colorectal cancer risk: An umbrella review of systematic reviews and meta-analyses of observational studies.International journal of cancer · 2019Pooled it
- Dietary Nutrient Intake and Progression to Late Age-Related Macular Degeneration in the Age-Related Eye Disease Studies 1 and 2.Ophthalmology · 2021Trial
- Vitamin D, Marine n-3 Fatty Acids, and Primary Prevention of Cardiovascular Disease Current Evidence.Circulation research · 2020Trial
- Replication of a Gene-Diet Interaction at CD36, NOS3 and PPARG in Response to Omega-3 Fatty Acid Supplements on Blood Lipids: A Double-Blind Randomized Controlled Trial.EBioMedicine · 2018Trial
- The association between APOA1 (rs5069) gene polymorphism and insulin resistance surrogates and metabolic indices among obese individuals with different glycemic statuses (euglycemic and T2DM).Scientific reports · 2025Article
- Obesity genetic association prospective cohort utilizing single center real-world evidence data.Medicine · 2025Article
- Review
- Circulating fatty acids, genetic risk, and incident coronary artery disease: A prospective, longitudinal cohort study.Science advances · 2023Article
- Marine omega-3 fatty acid supplementation and prevention of cardiovascular disease: update on the randomized trial evidence.Cardiovascular research · 2023Review
- Omega-3 Fatty Acids Interact withNutrients · 2023Article
- A Scoping Review of Interactions between Omega-3 Long-Chain Polyunsaturated Fatty Acids and Genetic Variation in Relation to Cancer Risk.Nutrients · 2020Article
- Gene Expression and Fatty Acid Profiling inFrontiers in genetics · 2019Article
- Serum omega-3 fatty acids and treatment outcomes among women undergoing assisted reproduction.Human reproduction (Oxford, England) · 2018Article
- Some dietary factors can modulate the effect of the zinc transporters 8 polymorphism on the risk of metabolic syndrome.Scientific reports · 2017Article
- Article
- Cancer Risk and Eicosanoid Production: Interaction between the Protective Effect of Long Chain Omega-3 Polyunsaturated Fatty Acid Intake and Genotype.Journal of clinical medicine · 2016Review
- Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits.BMC genomics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Nutritional genomics has undergone rapid development and the concept is now very popular with the general public. Therefore, there is increasing demand for knowledge on adapting dietary composition to the genome. Our aim has been to undertake a systematic review so as to find out the level of evidence existing on whether the effects of n-3 fatty acids on health can be modulated by genetic variation. A systematic literature search was conducted on studies that jointly analyse the effect of one or more genetic variants in candidate genes and n-3 fatty acids. Both observational and experimental studies were included. Results are classified in accordance with whether the study was undertaken on intermediate phenotypes (plasma lipid concentrations, glucose, inflammation markers, anthropometric measurements) or disease phenotypes (cancer, cardiovascular diseases, metabolic syndrome, etc) and whether it was experimental or observational. A wide diversity of genetic variants and little consistency in the publication of replication studies was found. Greater consistency was observed in studies that involved the FADS1 and FADS2 locus in the determination of n-3 fatty acid concentrations in biological samples. Most of the studies were designed to measure gene-diet interactions and not diet-gene interactions. Despite the fact that multiple studies have shown statistically significant interactions between n-3 fatty acids and certain genetic variants on intermediate and disease phenotypes, the individual level of evidence is very low and recommendations cannot be made on increasing or reducing the intake of n-3 fatty acids based on each individual's genotype.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.