SynthesisDiabetes2012
No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levels.
Synthesis in Diabetes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses 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
16 citing papers in PubMed, 6 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Association between Genotype and the Glycemic Response to an Oral Glucose Tolerance Test: A Systematic Review.Nutrients · 2023Pooled it
- Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review.Nutrition journal · 2022Pooled it
- Interaction between genes and macronutrient intake on the risk of developing type 2 diabetes: systematic review and findings from European Prospective Investigation into Cancer (EPIC)-InterAct.The American journal of clinical nutrition · 2017Pooled it
- Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions.PLoS genetics · 2017Pooled it
- Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.PLoS genetics · 2017Pooled it
- Pooled it
- Interaction of diabetes genetic risk and successful lifestyle modification in the Diabetes Prevention Programme.Diabetes, obesity & metabolism · 2021Trial
- Article
- Relationship between glucose homeostasis and obesity in early life-a study of Italian children and adolescents.Human molecular genetics · 2022Article
- Genetic Drivers of Pancreatic Islet Function.Genetics · 2018Article
- Precision Nutrition: A Review of Personalized Nutritional Approaches for the Prevention and Management of Metabolic Syndrome.Nutrients · 2017Review
- The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases.Journal of lipid research · 2017Article
- Obesity and associated lifestyles modify the effect of glucose metabolism-related genetic variants on impaired glucose homeostasis among postmenopausal women.Genetic epidemiology · 2016Article
- Physical activity, sedentary behaviors and the incidence of type 2 diabetes mellitus: the Multi-Ethnic Study of Atherosclerosis (MESA).BMJ open diabetes research & care · 2016Article
- Gene-Lifestyle Interactions in Complex Diseases: Design and Description of the GLACIER and VIKING Studies.Current nutrition reports · 2014Article
- How accurate can genetic predictions be?BMC genomics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
107 authors at 20 institutions in 10 countries.
Funding
Abstract
Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) × BMI and SNP × physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glucose levels than active individuals (β = 0.22 mmol/L [95% CI 0.13-0.31], P = 1.63 × 10(-6)). All SNPs were associated with 2-h glucose (β = 0.06-0.12 mmol/allele, P ≤ 1.53 × 10(-7)), but no significant interactions were found with PA (P > 0.18) or BMI (P ≥ 0.04). In this large study of gene-lifestyle interaction, we observed no interactions between genetic and lifestyle factors, both of which were associated with 2-h glucose. It is perhaps unlikely that top loci from genome-wide association studies will exhibit strong subgroup-specific effects, and may not, therefore, make the best candidates for the study of interactions.
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.