ArticleJournal of the Academy of Nutrition and Dietetics2014
Saturated fat intake modulates the association between an obesity genetic risk score and body mass index in two US populations.
Article in Journal of the Academy of Nutrition and Dietetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 81 citations in OpenAlex.
- Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- In the context of the triple burden of malnutrition: A systematic review of gene-diet interactions and nutritional status.Critical reviews in food science and nutrition · 2024Pooled it
- Potential Interplay between Dietary Saturated Fats and Genetic Variants of the NLRP3 Inflammasome to Modulate Insulin Resistance and Diabetes Risk: Insights from a Meta-Analysis of 19 005 Individuals.Molecular nutrition & food research · 2019Pooled it
- Gene-diet interaction effects on BMI levels in the Singapore Chinese population.Nutrition journal · 2018Pooled it
- Assessment of the impact of a personalised nutrition intervention in impaired glucose regulation over 26 weeks: a randomised controlled trial.Scientific reports · 2024Trial
- Mediterranean Diet Adherence and Genetic Background Roles within a Web-Based Nutritional Intervention: The Food4Me Study.Nutrients · 2017Trial
- Interaction between polygenic scores and dietary intake in relation to BMI in Canadian children.Journal of nutritional science · 2026Article
- The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Interaction between 3-SNP genetic risk score and dietary fats intake on inflammatory markers among overweight and obese women.Journal of diabetes and metabolic disorders · 2025Article
- Sweet Taste Receptors' Genetic Variability in Advanced Potential Targets of Obesity.Nutrients · 2025Article
- Magnitude, associated risk factor and awareness of predisposing factors, treatment, and prevention of overweight/obesity among adults in North Wollo zone, Northeast Ethiopia.Frontiers in nutrition · 2025Article
- Relationships between the Planetary Health Diet Index, its food groups, and polygenic risk of obesity in the CARTaGENE cohort.Nutrition & metabolism · 2024Article
- A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods.Animal bioscience · 2024Article
- A genomics perspective of personalized prevention and management of obesity.Human genomics · 2024Review
- Interaction between genetic susceptibility to obesity and food intake on BMI in Finnish school-aged children.Scientific reports · 2023Article
- Interactions Between Genetic Risk Score and Healthy Plant Diet Index on Cardiometabolic Risk Factors Among Obese and Overweight Women.Clinical nutrition research · 2023Article
- Effects of gene-lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis.PloS one · 2023Article
- Healthy beverages may reduce the genetic risk of abdominal obesity and related metabolic comorbidities: a gene-diet interaction study in Iranian women.Diabetology & metabolic syndrome · 2022Article
- Single-nucleotide Polymorphisms in Medical Nutritional Weight Loss: Challenges and Future Directions.Journal of translational internal medicine · 2022Article
- Dietary Mediators of the Genetic Susceptibility to Obesity-Results from the Quebec Family Study.The Journal of nutrition · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Combining multiple genetic variants related to obesity into a genetic risk score (GRS) might improve identification of individuals at risk of developing obesity. Moreover, characterizing gene-diet interactions is a research challenge to establish dietary recommendations to individuals with higher predisposition to obesity. Our objective was to analyze the association between an obesity GRS and body mass index (BMI) in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) population, focusing on gene-diet interactions with total fat and saturated fatty acid (SFA) intake, and to replicate findings in the Multi-Ethnic Study of Atherosclerosis (MESA) population. Cross-sectional analyses included 783 white US participants from GOLDN and 2,035 from MESA. Dietary intakes were estimated with validated food frequency questionnaires. Height and weight were measured. A weighted GRS was calculated on the basis of 63 obesity-associated variants. Multiple linear regression models adjusted by potential confounders were used to examine gene-diet interactions between dietary intake (total fat and SFA) and the obesity GRS in determining BMI. Significant interactions were found between total fat intake and the obesity GRS using these variables as continuous for BMI (P for interaction=0.010, 0.046, and 0.002 in GOLDN, MESA, and meta-analysis, respectively). These association terms were stronger when assessing interactions between SFA intake and GRS for BMI (P for interaction=0.005, 0.018, and <0.001 in GOLDN, MESA, and meta-analysis, respectively). SFA intake interacts with an obesity GRS in modulating BMI in two US populations. Although determining the causal direction requires further investigation, these findings suggest that potential dietary recommendations to reduce BMI effectively in populations with high obesity GRS would be to reduce total fat intake mainly by limiting SFAs.
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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.