ArticleGenes & nutrition2015
A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake.
Article in Genes & nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.
- Precision nutrition-based interventions for the management of obesity in children and adolescents up to the age of 19 years.The Cochrane database of systematic reviews · 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
- Genetic and physiological insights into satiation variability predict responses to obesity treatment.Cell metabolism · 2025Trial
- Assessment of the impact of a personalised nutrition intervention in impaired glucose regulation over 26 weeks: a randomised controlled trial.Scientific reports · 2024Trial
- The Effects of the Type of Exercise and Physical Activity on Eating Behavior and Body Composition in Overweight and Obese Subjects.Nutrients · 2020Trial
- An integrated transcriptomic and epigenomic analysis identifies CD44 gene as a potential biomarker for weight loss within an energy-restricted program.European journal of nutrition · 2019Trial
- Pathway-Based Genetic Risk Scores Are Associated with Blood Lipids Among Young Mexican Adults.Nutrients · 2026Article
- Interaction between polygenic scores and dietary intake in relation to BMI in Canadian children.Journal of nutritional science · 2026Article
- Anthocyanins and Metabolic Disease: A New Frontier in Precision Nutrition.Antioxidants (Basel, Switzerland) · 2026Review
- The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center.Current nutrition reports · 2024Review
- Physiological Appetite Regulation and Bariatric Surgery.Journal of clinical medicine · 2024Review
- A genomics perspective of personalized prevention and management of obesity.Human genomics · 2024Review
- Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes.Current nutrition reports · 2023Review
- Regulation of Macronutrients in Insulin Resistance and Glucose Homeostasis during Type 2 Diabetes Mellitus.Nutrients · 2023Review
- Interaction between genetic susceptibility to obesity and food intake on BMI in Finnish school-aged children.Scientific reports · 2023Article
- Dietary approach to stop hypertension and healthy eating index 2015, modify the association between FTO polymorphisms and obesity phenotypes.BMC research notes · 2023Article
- Next-Generation Sequencing of a Large Gene Panel for Outcome Prediction of Bariatric Surgery in Patients with Severe Obesity.Journal of clinical medicine · 2022Article
- Gene-obesogenic environment interactions on body mass indices for older black and white men and women from the Health and Retirement Study.International journal of obesity (2005) · 2020Article
- Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity.Microorganisms · 2020Article
- Contribution of macronutrients to obesity: implications for precision nutrition.Nature reviews. Endocrinology · 2020Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is little evidence about genetic risk score (GRS)-diet interactions in order to provide personalized nutrition based on the genotype. The aim of the study was to assess the value of a GRS on obesity prediction and to further evaluate the interactions between the GRS and dietary intake on obesity. A total of 711 seekers of a Nutrigenetic Service were examined for anthropometric and body composition measurements and also for dietary habits and physical activity. Oral epithelial cells were collected for the identification of 16 SNPs (related with obesity or lipid metabolism) using DNA zip-coded beads. Genotypes were coded as 0, 1 or 2 according to the number of risk alleles, and the GRS was calculated by adding risk alleles with such a criterion. After being adjusted for gender, age, physical activity and energy intake, the GRS demonstrated that individuals carrying >7 risk alleles had in average 0.93 kg/m(2) of BMI, 1.69 % of body fat mass, 1.94 cm of waist circumference and 0.01 waist-to-height ratio more than the individuals with ≤7 risk alleles. Significant interactions for GRS and the consumption of energy, total protein, animal protein, vegetable protein, total fat, saturated fatty acids, polyunsaturated fatty acids, total carbohydrates, complex carbohydrates and fiber intake on adiposity traits were found after adjusted for confounders variables. The GRS confirmed that the high genetic risk group showed greater values of adiposity than the low risk group and demonstrated that macronutrient intake modifies the GRS association with adiposity traits.
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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.