ArticleGenes & nutrition2012
A randomized trial of genetic information for personalized nutrition.
Article in Genes & nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Barriers and Facilitators for Population Genetic Screening in Healthy Populations: A Systematic Review.Frontiers in genetics · 2022Pooled it
- Citizens' Attitudes, Knowledge, and Educational Needs in the Field of Omics Sciences: A Systematic Literature Review.Frontiers in genetics · 2020Pooled it
- Internet-Based Direct-to-Consumer Genetic Testing: A Systematic Review.Journal of medical Internet research · 2015Pooled it
- Trial
- Food Intervention with Folate Reduces TNF-α and Interleukin Levels in Overweight and Obese Women with theNutrients · 2020Trial
- Evaluating Changes in Omega-3 Fatty Acid Intake after Receiving Personal FADS1 Genetic Information: A Randomized Nutrigenetic Intervention.Nutrients · 2017Trial
- Disclosure of genetic information and change in dietary intake: a randomized controlled trial.PloS one · 2014Trial
- The association between LRP-1 variants and chylomicron uptake after a high fat meal.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2013Trial
- Professional perspectives on PN among registered dietitians in Saudi Arabia: a mixed-methods assessment.Frontiers in nutrition · 2026Article
- Public perceptions of biospecimen sampling and uncertainty in the context of personalised nutrition.PloS one · 2025Article
- Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living.Human genomics · 2023Review
- A study protocol for a pilot randomized controlled trial to evaluate the effectiveness of a gene-based nutrition and lifestyle recommendation for weight management among adults: the MyGeneMyDietFrontiers in nutrition · 2023Article
- Research gaps and opportunities in precision nutrition: an NIH workshop report.The American journal of clinical nutrition · 2022Article
- Knowledge, opinions and expectations of adults concerning personalised genotype-based dietary recommendations: a German survey.Public health nutrition · 2021Article
- A scoping review of social and behavioral science research to translate genomic discoveries into population health impact.Translational behavioral medicine · 2021Article
- Clinical Practice Guidelines Using GRADE and AGREE II for the Impact of Genetic Variants on Plasma Lipid/Lipoprotein/Apolipoprotein Responsiveness to Omega-3 Fatty Acids.Frontiers in nutrition · 2021Article
- Personalized nutrition approach in pediatrics: a narrative review.Pediatric research · 2021Review
- Genetic test for the prescription of diets in support of physical activity.Acta bio-medica : Atenei Parmensis · 2020Article
- Personalized Nutrition for Management of Micronutrient Deficiency-Literature Review in Non-bariatric Populations and Possible Utility in Bariatric Cohort.Obesity surgery · 2020Review
- Perspective: Metabotyping-A Potential Personalized Nutrition Strategy for Precision Prevention of Cardiometabolic Disease.Advances in nutrition (Bethesda, Md.) · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personal genetic information has become increasingly accessible to the public as a result of direct-to-consumer (DTC) genetic tests; however, concerns have been raised over their value and potential risks. We compared the effects of providing genotype-based dietary advice with general recommendations on behavioral outcomes using a randomized controlled study. Participants were men and women from the Toronto Nutrigenomics and Health Study between the ages of 20-35 years (n = 149) who completed a survey to assess their awareness of DTC genetic tests and nutrigenomics, as well as potential motivations for undergoing genetic testing. Participants were then randomized into an intervention (I) or control (C) group and were given either genotype-based personalized dietary advice or general dietary advice, respectively. A second survey was administered to assess the participants' opinions of the dietary reports they received. A greater proportion of participants in the intervention group agreed that they understood the dietary advice they were given (93% (I) vs. 78% (C); p = 0.009). Participants in the intervention group were more likely to agree that the dietary recommendations they received would be useful when considering their diet (88% (I) vs. 72% (C); p = 0.02) and wanted to know more about the recommendations (95% (I) vs. 76% (C); p < 0.0001). Only 9% of participants in the intervention group reported feeling uneasy about learning their genetic information. These findings suggest that individuals find dietary recommendations based on genetics more understandable and more useful than general dietary advice. Very few feel uneasy about receiving their genetic information that relates to personalized nutrition.
Identifiers
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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.