ReviewCurrent diabetes reports2016
Putting the Genome in Context: Gene-Environment Interactions in Type 2 Diabetes.
Review in Current diabetes reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review.Nutrition journal · 2022Pooled it
- Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019Pooled it
- Socioeconomic Disparities Across the Spectrum of Genetic Burden in Type 2 Diabetes and Obesity Risk.Diabetes care · 2023Article
- Article
- Quantile-Dependent Heritability of Glucose, Insulin, Proinsulin, Insulin Resistance, and Glycated Hemoglobin.Lifestyle genomics · 2022Article
- Disease Ionomics: Understanding the Role of Ions in Complex Disease.International journal of molecular sciences · 2020Review
- Editorial: The Role of Genetic and Lifestyle Factors in Metabolic Diseases.Frontiers in endocrinology · 2019Article
- Gene Lifestyle Interactions With Relation to Obesity, Cardiometabolic, and Cardiovascular Traits Among South Asians.Frontiers in endocrinology · 2019Review
- Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests.Frontiers in genetics · 2018Article
- Adiposity and Genetic Factors in Relation to Triglycerides and Triglyceride-Rich Lipoproteins in the Women's Genome Health Study.Clinical chemistry · 2018Article
- TCF21 and the environmental sensor aryl-hydrocarbon receptor cooperate to activate a pro-inflammatory gene expression program in coronary artery smooth muscle cells.PLoS genetics · 2017Article
- Gene-Diet Interaction and Precision Nutrition in Obesity.International journal of molecular sciences · 2017Review
- Gene-obesogenic environment interactions in the UK Biobank study.International journal of epidemiology · 2017Article
- A systems approach to personalised nutrition: Report on the Keystone Symposium "Human Nutrition, Environment and Health".Applied & translational genomics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The genome is often the conduit through which environmental exposures convey their effects on health and disease. Whilst not all diseases act by directly perturbing the genome, the phenotypic responses are often genetically determined. Hence, whilst diseases are often defined has having differing degrees of genetic determination, genetic and environmental factors are, with few exceptions, inseparable features of most diseases, not least type 2 diabetes. It follows that to optimize diabetes, prevention and treatment will require that the etiological roles of genetic and environmental risk factors be jointly considered. As we discuss here, studies focused on quantifying gene-environment and gene-treatment interactions are gathering momentum and may eventually yield data that helps guide health-related choices and medical interventions for type 2 diabetes and other complex diseases.
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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.