ReviewCurrent nutrition reports2022
Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation.
Review in Current nutrition reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 17 citations in OpenAlex.
- Exploratory whole-exome analysis of low-density lipoprotein cholesterol and triglyceride response to Mediterranean-style dietary guidance: a focus on plasma lipoprotein pathways.Frontiers in nutrition · 2026Article
- Epigenetics of Childhood Obesity.Hormone research in paediatrics · 2026Review
- Mediterranean diet and obesity polygenic risk interaction on adiposity in European children: The IDEFICS/I.Family Study.Pediatric obesity · 2025Article
- Gene-vegetarianism interactions in calcium, estimated glomerular filtration rate, and testosterone identified in genome-wide analysis across 30 biomarkers.PLoS genetics · 2024Article
- Influence of blood pressure polygenic risk scores and environmental factors on coronary artery disease in the Korean Genome and Epidemiology Study.Journal of human hypertension · 2024Article
- Frequency of Consumption of Food Groups and Cardio-Metabolic Risk Factors: A Genetically Informative Twin Study in Sri Lanka.Behavior genetics · 2024Article
- Genetics and Epigenetics in Obesity: What Do We Know so Far?Current obesity reports · 2023Review
- Impact of maternal cardiometabolic status after bariatric surgery on the association between telomere length and adiposity in offspring.Scientific reports · 2023Article
- Assessments of dietary intake and polygenic risk score in associations with colorectal cancer risk: evidence from the UK Biobank.BMC cancer · 2023Article
- Gene-environment interactions and the effect on obesity risk in low and middle-income countries: a scoping review.Frontiers in endocrinology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThis review aims to analyse the currently reported gene-environment (G × E) interactions in genome-wide association studies (GWAS), involving environmental factors such as lifestyle and dietary habits related to metabolic syndrome phenotypes. For this purpose, the present manuscript reviews the available GWAS registered on the GWAS Catalog reporting the interaction between environmental factors and metabolic syndrome traits. RECENT
findingsAdvances in omics-related analytical and computational approaches in recent years have led to a better understanding of the biological processes underlying these G × E interactions. A total of 42 GWAS were analysed, reporting over 300 loci interacting with environmental factors. Alcohol consumption, sleep time, smoking habit and physical activity were the most studied environmental factors with significant G × E interactions. The implementation of more comprehensive GWAS will provide a better understanding of the metabolic processes that determine individual responses to environmental exposures and their association with the development of chronic diseases such as obesity and the metabolic syndrome. This will facilitate the development of precision approaches for better prevention, management and treatment of these diseases.
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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 Socratic graph.