The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Disclosure of Genetic Information and Change in Dietary Intake: A Randomized Controlled Trial
Open accessAbstract
BACKGROUND: Proponents of consumer genetic tests claim that the information can positively impact health behaviors and aid in chronic disease prevention. However, the effects of disclosing genetic information on dietary intake behavior are not clear. METHODS: A double-blinded, parallel group, 2:1 online randomized controlled trial was conducted to determine the short- and long-term effects of disclosing nutrition-related genetic information for personalized nutrition on dietary intakes of caffeine, vitamin C, added sugars, and sodium. Participants were healthy men and women aged 20-35 years (n = 138). The intervention group (n = 92) received personalized DNA-based dietary advice for 12-months and the control group (n = 46) received general dietary recommendations with no genetic information for 12-months. Food frequency questionnaires were collected at baseline and 3- and 12-months after the intervention to assess dietary intakes. General linear models were used to compare changes in intakes between those receiving general dietary advice and those receiving DNA-based dietary advice. RESULTS: Compared to the control group, no significant changes to dietary intakes of the nutrients were observed at 3-months. At 12-months, participants in the intervention group who possessed a risk version of the ACE gene, and were advised to limit their sodium intake, significantly reduced their sodium intake (mg/day) compared to the control group (-287.3 ± 114.1 vs. 129.8 ± 118.2, p = 0.008). Those who had the non-risk version of ACE did not significantly change their sodium intake compared to the control group (12-months: -244.2 ± 150.2, p = 0.11). Among those with the risk version of the ACE gene, the proportion who met the targeted recommendation of 1500 mg/day increased from 19% at baseline to 34% after 12 months (p = 0.06). CONCLUSIONS: These findings demonstrate that disclosing genetic information for personalized nutrition results in greater changes in intake for some dietary components compared to general population-based dietary advice. TRIAL REGISTRATION: ClinicalTrials.gov NCT01353014.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Some studies identify variants related to lipid, caffeine, and sodium metabolism [145,146].”
From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [145]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Previous PN interventions have achieved improvements in sodium intake in individuals at higher genotypic-based risk (20), however, the Food4Me PoP study was the first to examine the effect of including genotype-based PN on overall patterns of healthy eating.”
From Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study (2016) · cites this paper as [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Projected effect of dietary salt reductions on future cardiovascular disease
Bibbins-Domingo, K., Chertow, G. M., Coxson, P. G., Moran, A., Lightwood, J. M., Pletcher, M. J., & Goldman, L. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907355 · Cited by 1,253
Effects of caffeine on human health
Nawrot, P., Jordan, S., Eastwood, J., Rotstein, J., Hugenholtz, A., & Feeley, M. (2003) · Food Additives and Contaminants · doi:10.1080/0265203021000007840 · Cited by 1,199
Charting a course for genomic medicine from base pairs to bedside
Green, E. D., & Guyer, M. S. (2011) · Nature · doi:10.1038/nature09764 · Cited by 914
Medeiros, D. M. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.3.924 · Cited by 765
Nishida, C., Uauy, R., Kumanyika, S., & Shetty, P. (2004) · Public Health Nutrition · doi:10.1079/phn2003592 · Cited by 744
Effect of Direct-to-Consumer Genomewide Profiling to Assess Disease Risk
Bloss, C. S., Schork, N. J., & Topol, E. J. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011893 · Cited by 565
Coffee, CYP1A2 genotype, and risk of myocardial infarction
Cornelis, M. C., El-Sohemy, A., Kabagambe, E. K., & Campos, H. (2006) · JAMA · doi:10.1001/jama.295.10.1135 · Cited by 490 · cited 3×
“Dietary Reports and Recommendations Subjects in the intervention group were genotyped for variants that affect caffeine metabolism (CYP1A2) [18,19], vitamin C utilization (GSTT1 and GSTM1) [17], sweet taste perception (TAS1R2) [20], and sodium-sensitivity (ACE) [21,22] (Table 1).”
MethodSodium Intake in Populations: Assessment of Evidence
Strom, B. L., Yaktine, A. L., Oria, M. P., & Nutrition Board (2013) · Cited by 274
Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours
Marteau, T. M., French, D., Griffin, S. J., Prevost, A. T., Sutton, S. R., Watkinson, C., Attwood, S., & Hollands, G. J. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007275.pub2 · Cited by 270
Research works printed but not linked: 1
- National Research Council (2006) Dietary Reference Intakes: The Essential Guide to Nutrient Requirements. The National Academies Press: Washington, DC.
Cited by
Sorted by citations
International Society of Sports Nutrition Position Stand: Caffeine and Exercise Performance
Guest, N. S., VanDusseldorp, T. A., Nelson, M. T., Grgic, J., Schoenfeld, B. J., Jenkins, N. D. M., Arent, S. M., Antonio, J., Stout, J. R., Trexler, E. T., et al. (2021) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-020-00383-4 · Cited by 665
Personalised nutrition and health
Ordovás, J. M., Ferguson, L. R., Tai, E. S., & Mathers, J. C. (2018) · BMJ · doi:10.1136/bmj.k2173 · Cited by 699
de Toro‐Martín, J., Arsenault, B. J., Després, J., & Vohl, M. (2017) · Nutrients · doi:10.3390/nu9080913 · Cited by 534
Hollands, G. J., French, D., Griffin, S. J., Prevost, A. T., Sutton, S. R., King, S., & Marteau, T. M. (2016) · BMJ · doi:10.1136/bmj.i1102 · Cited by 499
Celis-Morales, C., Livingstone, K. M., Marsaux, C. F. M., Macready, A. L., Fallaize, R., O’Donovan, C. B., Woolhead, C., Forster, H., Walsh, M. C., Navas-Carretero, S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw186 · Cited by 399
Metadata
- Authors
- Nielsen, D. E., & El-Sohemy, A.
- Affiliations
- University of Toronto (CA)
- ORCID
- Nielsen, Daiva E.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-11-14
- Volume
- 9
- Issue
- 11
- Pages
- e112665
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4232422
- OpenAlex
- W1989879035
- Cited by
- 157
- References
- 44
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 9 · 2023: 11 · 2022: 11 · 2021: 23 · 2020: 19 · 2019: 16 · 2018: 11 · 2017: 11 · 2016: 20 · 2015: 3
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Advanced Foods and Materials Network
- Canadian Institutes of Health Research (89829_1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- genetic information disclosure, consumer genetic testing, personalized nutrition, ACE gene, sodium intake, caffeine consumption, vitamin C intake, added sugars, chronic disease prevention
- MeSH terms
- Adult, Diet, Female, Genetic Testing, Humans, Male, Linear Models, Disclosure, Nutrigenomics, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
