Gene‐Lifestyle Interplay in Type 1 Diabetes: Joint Effects and Interactions From Cross‐Sectional and Longitudinal Cohort Analyses

BACKGROUND: Type 1 diabetes (T1D) is a complex autoimmune disorder heavily influenced by heritable traits. However, the interplay between modifiable lifestyle factors and genetic susceptibility remains insufficiently characterised. This study sought to elucidate how genetic background and lifestyle determinants jointly affect T1D liability. METHODS: Utilising the UK Biobank cohort, we performed both cross-sectional and longitudinal assessments. A polygenic risk score (PRS) was computed to quantify genetic predisposition to T1D across 403,778 subjects. Concurrently, a composite lifestyle index was generated based on six domains: adiposity, smoking status, alcohol intake, physical exertion, diet quality, and sleep duration. We evaluated cross-sectional relationships using multivariable logistic regression and assessed longitudinal outcomes using Cox proportional hazard models. RESULTS: In a 15-year longitudinal study (median follow-up: 12.3 years) of 402,005 participants, 1474 cases of T1D were identified. Stratified by genetic risk, participants in the intermediate (hazard ratio [HR] = 1.17; 95% CI: 1.00-1.37) and highest (HR = 2.89; 95% CI: 2.46-3.39) risk groups demonstrated significantly elevated risks of incident T1D compared to the lowest risk group, independent of lifestyle factors. Conversely, when categorised by lifestyle patterns, both intermediate (HR = 0.61; 95% CI: 0.52-0.71) and healthy (HR = 0.43; 95% CI: 0.37-0.52) lifestyle groups exhibited substantially reduced risks of T1D compared to the unhealthy lifestyle group, irrespective of genetic predisposition. A significant interaction between genetic risk and lifestyle on the risk of T1D was found in both cross-sectional and longitudinal analyses (p < 0.001). CONCLUSIONS: The data reveal a robust inverse relationship between adherence to a healthy lifestyle and T1D incidence across all genetic strata, even among those with elevated hereditary risk. These results underscore the critical role of lifestyle modification in mitigating T1D susceptibility, distinct from genetic inheritance.

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Journal
Diabetes/Metabolism Research and Reviews
Published
2026-04-15
DOI
https://doi.org/10.1002/dmrr.70168
Primary Topic
Diabetes and associated disorders
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article
Field-Weighted Citation Impact
0.00

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article

Gene‐Lifestyle Interplay in Type 1 Diabetes: Joint Effects and Interactions From Cross‐Sectional and Longitudinal Cohort Analyses

Xingchen Geng, Zhuoting Zhu, Chenxiao Shen, Zijing Du et al.
Diabetes/Metabolism Research and Reviews
Diabetes and associated disorders
article

Gene‐Lifestyle Interplay in Type 1 Diabetes: Joint Effects and Interactions From Cross‐Sectional and Longitudinal Cohort Analyses

Xingchen Geng, Zhuoting Zhu, Chenxiao Shen, Zijing Du, Chunran Lai, Xiayin Zhang, Yijun Hu, Xianwen Shang, Ying Fang, Xiaomin Zeng, Qinyi Li, Jiahui Cao, Shan Wang
article en

Abstract

BACKGROUND: Type 1 diabetes (T1D) is a complex autoimmune disorder heavily influenced by heritable traits. However, the interplay between modifiable lifestyle factors and genetic susceptibility remains insufficiently characterised. This study sought to elucidate how genetic background and lifestyle determinants jointly affect T1D liability. METHODS: Utilising the UK Biobank cohort, we performed both cross-sectional and longitudinal assessments. A polygenic risk score (PRS) was computed to quantify genetic predisposition to T1D across 403,778 subjects. Concurrently, a composite lifestyle index was generated based on six domains: adiposity, smoking status, alcohol intake, physical exertion, diet quality, and sleep duration. We evaluated cross-sectional relationships using multivariable logistic regression and assessed longitudinal outcomes using Cox proportional hazard models. RESULTS: In a 15-year longitudinal study (median follow-up: 12.3 years) of 402,005 participants, 1474 cases of T1D were identified. Stratified by genetic risk, participants in the intermediate (hazard ratio [HR] = 1.17; 95% CI: 1.00-1.37) and highest (HR = 2.89; 95% CI: 2.46-3.39) risk groups demonstrated significantly elevated risks of incident T1D compared to the lowest risk group, independent of lifestyle factors. Conversely, when categorised by lifestyle patterns, both intermediate (HR = 0.61; 95% CI: 0.52-0.71) and healthy (HR = 0.43; 95% CI: 0.37-0.52) lifestyle groups exhibited substantially reduced risks of T1D compared to the unhealthy lifestyle group, irrespective of genetic predisposition. A significant interaction between genetic risk and lifestyle on the risk of T1D was found in both cross-sectional and longitudinal analyses (p < 0.001). CONCLUSIONS: The data reveal a robust inverse relationship between adherence to a healthy lifestyle and T1D incidence across all genetic strata, even among those with elevated hereditary risk. These results underscore the critical role of lifestyle modification in mitigating T1D susceptibility, distinct from genetic inheritance.

Diabetes/Metabolism Research and ReviewsVol. 42(4)
Hong Kong Polytechnic University (HK), Chinese University of Hong Kong (HK), Singapore National Eye Center (SG), Shantou University (CN), Centre for Eye Research Australia (AU), Singapore Eye Research Institute (SG), Guangdong Academy of Medical Sciences (CN), South China University of Technology (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 16%
Diabetes and associated disorders
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