ArticleFrontiers in genetics2022
Lifestyle Modifies the Diabetes-Related Metabolic Risk, Conditional on Individual Genetic Differences.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of rs2910164 in miR-146a with type 2 diabetes mellitus: A case-control and meta-analysis study.Frontiers in endocrinology · 2022Pooled it
- Identification of novel candidate neural genes for diet-induced obesity in outbred heterogeneous stock rats.Research square · 2026Article
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- Analyzing complex traits and diseases using GxE PRS: genotype-environment interaction in polygenic risk score models.Journal of human genetics · 2025Article
- Sanger Sequencing Reveals Novel Variants inMedicina (Kaunas, Lithuania) · 2024Article
- Genotype × environment interactions in gene regulation and complex traits.Nature genetics · 2024Review
- Understanding Type 2 Diabetes Mellitus Risk Parameters through Intermittent Fasting: A Machine Learning Approach.Nutrients · 2023Article
- Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology.Communications biology · 2022Article
- An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction.Scientific reports · 2021Article
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Authors and funding
6 authors.
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Abstract
Metabolic syndrome is a group of heritable metabolic traits that are highly associated with type 2 diabetes (T2DM). Classical interventions to T2DM include individual self-management of environmental risk factors, such as improving diet quality, increasing physical activity, and reducing smoking and alcohol consumption, which decreases the risk of developing metabolic syndrome. However, it is poorly understood how the phenotypes of diabetes-related metabolic traits change with respect to lifestyle modifications at the individual level. In the analysis, we used 12 diabetes-related metabolic traits and eight lifestyle covariates from the UK Biobank comprising 288,837 white British participants genotyped for 1,133,273 genome-wide single nucleotide polymorphisms. We found 16 GxE interactions. Modulation of genetic effects by physical activity was seen for four traits (glucose, HbA1c, C-reactive protein, systolic blood pressure) and by alcohol and smoking for three (BMI, glucose, waist-hip ratio and BMI and diastolic and systolic blood pressure, respectively). We also found a number of significant phenotypic modulations by the lifestyle covariates, which were not attributed to the genetic effects in the model. Overall, modulation in the metabolic risk in response to the level of lifestyle covariates was clearly observed, and its direction and magnitude were varied depending on individual differences. We also showed that the metabolic risk inferred by our model was notably higher in T2DM prospective cases than controls. Our findings highlight the importance of individual genetic differences in the prevention and management of diabetes and suggest that the one-size-fits-all approach may not benefit all.
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