ArticleObesity (Silver Spring, Md.)2008
Genotype-phenotype associations: modulation by diet and obesity.
Article in Obesity (Silver Spring, Md.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Nutrigenomics-Associated Impacts of Nutrients on Genes and Enzymes With Special Consideration of Aromatase.Frontiers in nutrition · 2020Pooled it
- Article
- Precision Nutrition Unveiled: Gene-Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management.Nutrients · 2024Review
- Specific Genotypes Associated with Differences in Fasting Insulin Levels and Body Mass Index in Healthy Young Males: Implications for Gene-Nutrient Interactions-an Exploratory Study.Current developments in nutrition · 2023Article
- Review
- Content of selected inorganic compounds in the eggs of hens kept in two different systems: organic and battery cage.Archives animal breeding · 2019Article
- Genotype to phenotype: Diet-by-mitochondrial DNA haplotype interactions drive metabolic flexibility and organismal fitness.PLoS genetics · 2018Review
- Genotype-by-sex-by-diet interactions for nutritional preference, dietary consumption, and lipid deposition in a field cricket.Heredity · 2018Article
- The Niemann-Pick C1 gene interacts with a high-fat diet to promote weight gain through differential regulation of central energy metabolism pathways.American journal of physiology. Endocrinology and metabolism · 2017Article
- Identification of a nutrient-sensing transcriptional network in monocytes by using inbred rat models on a cafeteria diet.Disease models & mechanisms · 2016Article
- Genes and life-style factors in BELFAST nonagenarians: Nature, Nurture and Narrative.Biogerontology · 2015Review
- Interaction of dietary fat intake with APOA2, APOA5 and LEPR polymorphisms and its relationship with obesity and dyslipidemia in young subjects.Lipids in health and disease · 2015Article
- C677T gene polymorphism of MTHFR and metabolic syndrome: response to dietary intervention.Journal of translational medicine · 2014Article
- Circadian rhythmicity as a predictor of weight-loss effectiveness.International journal of obesity (2005) · 2014Article
- CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits.BioData mining · 2014Article
- PPAR-α as a key nutritional and environmental sensor for metabolic adaptation.Advances in nutrition (Bethesda, Md.) · 2013Review
- Appetite control: methodological aspects of the evaluation of foods.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2010Review
- A strategy for analyzing gene-nutrient interactions in type 2 diabetes.Journal of diabetes science and technology · 2009Article
- Gene-nutrition and gene-physical activity interactions in the etiology of obesity. Introduction.Obesity (Silver Spring, Md.) · 2008Article
- Effect of BCHE single nucleotide polymorphisms on lipid metabolism markers in women.Genetics and molecular biologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Changes in diet are likely to reduce chronic disorders, but after decades of active research and heated discussion, the question still remains: what is the optimal diet to achieve this elusive goal? Is it a low-fat diet, as traditionally recommended by multiple medical societies? Or a high monounsaturated fat (MUFA) diet as predicated by the Mediterranean diet? Perhaps a high polyunsaturated fat (PUFA) diet based on the cholesterol-lowering effects? The right answer may be all of the above but not for everybody. A well-known phenomenon in nutrition research and practice is the dramatic variability in interindividual response to any type of dietary intervention. There are many other factors influencing response, and they include, among many others, age, sex, physical activity, alcohol, and smoking as well as genetic factors that will help to identify vulnerable populations/individuals that will benefit from a variety of more personalized and mechanistic-based dietary recommendations. This potential could and needs to be developed within the context of nutritional genomics that in conjunction with systems biology may provide the tools to achieve the holy grail of dietary prevention and therapy of chronic diseases and cancer. This approach will break with the traditional public health approach of "one size fits all." The current evidence based on nutrigenetics has begun to identify subgroups of individuals who benefit more from a low-fat diet, whereas others appear to benefit more from high MUFA or PUFA diets. The continuous progress in nutrigenomics will allow some time in the future to provide targeted gene-based dietary advice.
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.