ReviewCurrent diabetes reports2011
Gene × environment interactions in type 2 diabetes.
Review in Current diabetes reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.
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
42 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020Pooled it
- Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies.The Journal of nutrition · 2013Pooled it
- Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts.American journal of epidemiology · 2013Pooled it
- Gene × physical activity interactions in obesity: combined analysis of 111,421 individuals of European ancestry.PLoS genetics · 2013Pooled it
- Trial
- Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry.Human molecular genetics · 2015Trial
- Identification of Novel Genetic Variants and Food Intake Factors Associated with Type 2 Diabetes in South Korean Adults, Using an Illness-Death Model.International journal of molecular sciences · 2025Article
- Partners in diabetes epidemic: A global perspective.World journal of diabetes · 2023Review
- Polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, pesticides, and diabetes in the Anniston Community Health Survey follow-up (ACHS II): single exposure and mixture analysis approaches.The Science of the total environment · 2023Article
- Clinical and biological risk factors associated with inflammation in patients with type 2 diabetes mellitus.BMC endocrine disorders · 2022Article
- Burden of non-communicable diseases in Cyprus, 1990-2017: findings from the Global Burden of Disease 2017 study.Archives of public health = Archives belges de sante publique · 2021Article
- Associations of Per- and Polyfluoroalkyl Substances (PFAS) With Glucose Tolerance During Pregnancy in Project Viva.The Journal of clinical endocrinology and metabolism · 2020Observational
- Type 2 diabetes susceptibility genes on mouse chromosome 11 under high sucrose environment.BMC genetics · 2020Article
- Genetic background and diet affect brown adipose gene coexpression networks associated with metabolic phenotypes.Physiological genomics · 2020Article
- Genomics of Particulate Matter Exposure Associated Cardiopulmonary Disease: A Narrative Review.International journal of environmental research and public health · 2019Review
- Differential vulnerability to neighbourhood disorder: a gene×environment interaction study.Journal of epidemiology and community health · 2019Article
- Article
- Evolutionarily derived networks to inform disease pathways.Genetic epidemiology · 2017Article
- A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.Genetic epidemiology · 2017Article
- Impact of the Polymorphism NearJournal of human kinetics · 2017Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
People vary genetically in their susceptibility to the effects of environmental risk factors for many diseases. Genetic variation also underlies the extent to which people respond appropriately to clinical therapies. Defining the basis to the interactions between the genome and the environment may help elucidate the biologic basis to diseases such as type 2 diabetes, as well as help target preventive therapies and treatments. This review examines 1) some of the most current evidence on gene × environment interactions in relation to type 2 diabetes; 2) outlines how the availability of information on gene × environment interactions might help improve the prevention and treatment of type 2 diabetes; and 3) discusses existing and emerging strategies that might enhance our ability to detect and exploit gene × environment interactions in complex disease traits.
Indexed as
Identifiers
21887612What 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.