» Articles » PMID: 35399945

Shared Genetic Basis and Causal Relationship Between Television Watching, Breakfast Skipping and Type 2 Diabetes: Evidence From a Comprehensive Genetic Analysis

Overview
Specialty Endocrinology
Date 2022 Apr 11
PMID 35399945
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Epidemiological investigations have established unhealthy lifestyles, such as excessive leisurely sedentary behavior (especially TV/television watching) and breakfast skipping, increase the risk of type 2 diabetes (T2D), but the causal relationship is unclear. We aimed to understand how single nucleotide variants contribute to the co-occurrence of unhealthy lifestyles and T2D, thereby providing meaningful insights into disease mechanisms.

Methods: Combining summary statistics from genome-wide association studies (GWAS) on TV watching ( = 422218), breakfast skipping ( = 193860) and T2D ( = 159208) in European pedigrees, we conducted comprehensive pairwise genetic analysis, including high-definition likelihood (HDL-method), cross-phenotype association studies (CPASSOC), GWAS-eQTL colocalization analysis and transcriptome-wide association studies (TWAS), to understand the genetic overlap between them. We also performed bidirectional two-sample Mendelian randomization (MR) analysis for causal inference using genetic instrumental variables, and two-step MR mediation analysis was used to assess any effects explained by body mass index, lipid traits and glycemic traits.

Results: HDL-method showed that T2D shared a strong genetic correlation with TV watching ( = 0.26; = 1.63×10) and skipping breakfast ( = 0.15; =2.02×10). CPASSOC identifies eight independent SNPs shared between T2D and TV watching, including one novel shared locus. TWAS and CPASSOC showed that shared genes were enriched in lung, esophageal, adipose, and thyroid tissues and highlighted potential shared regulatory pathways for lipoprotein metabolism, pancreatic β-cell function, cellular senescence and multi-mediator factors. MR showed TV watching had a causal effect on T2D (β = 0.629, = 1.80×10), but no significant results were observed between breakfast skipping and T2D. Mediation analysis provided evidence that body mass index, fasting glucose, hemoglobin A1c and high-density lipoprotein are potential factors that mediate the causal relationship between TV and T2D.

Conclusions: Our findings provide strong evidence of shared genetics and causation between TV watching and T2D and facilitate our identification of common genetic architectures shared between them.

Citing Articles

Genetic Commonalities Between Metabolic Syndrome and Rheumatic Diseases Through Disease Interactome Modules.

Shi Y, Guan S, Liu X, Zhai H, Zhang Y, Liu J J Cell Mol Med. 2025; 29(1):e70329.

PMID: 39789419 PMC: 11717667. DOI: 10.1111/jcmm.70329.


Causal Association Between Sedentary Behaviors and Health Outcomes: A Systematic Review and Meta-Analysis of Mendelian Randomization Studies.

Gao Y, Li Q, Yang L, Zhao H, Wang D, Pesola A Sports Med. 2024; 54(12):3051-3067.

PMID: 39218828 DOI: 10.1007/s40279-024-02090-5.


Causal Relationship between Meat Intake and Biological Aging: Evidence from Mendelian Randomization Analysis.

Liu S, Deng Y, Liu H, Fu Z, Wang Y, Zhou M Nutrients. 2024; 16(15).

PMID: 39125314 PMC: 11313912. DOI: 10.3390/nu16152433.


The causal relationship between human brain morphometry and knee osteoarthritis: a two-sample Mendelian randomization study.

Liu Y, Huang C, Xiong Y, Wang X, Shen Z, Zhang M Front Genet. 2024; 15:1420134.

PMID: 39040992 PMC: 11260717. DOI: 10.3389/fgene.2024.1420134.


Decoding the genetic relationship between Alzheimer's disease and type 2 diabetes: potential risk variants and future direction for North Africa.

Boukhalfa W, Jmel H, Kheriji N, Gouiza I, Dallali H, Hechmi M Front Aging Neurosci. 2023; 15:1114810.

PMID: 37342358 PMC: 10277480. DOI: 10.3389/fnagi.2023.1114810.


References
1.
Shim H, Chasman D, Smith J, Mora S, Ridker P, Nickerson D . A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 Caucasians. PLoS One. 2015; 10(4):e0120758. PMC: 4405269. DOI: 10.1371/journal.pone.0120758. View

2.
Turcot V, Lu Y, Highland H, Schurmann C, Justice A, Fine R . Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2017; 50(1):26-41. PMC: 5945951. DOI: 10.1038/s41588-017-0011-x. View

3.
VanderWeele T, Vansteelandt S . Odds ratios for mediation analysis for a dichotomous outcome. Am J Epidemiol. 2010; 172(12):1339-48. PMC: 2998205. DOI: 10.1093/aje/kwq332. View

4.
Li C, Beech B, Crume T, DAgostino Jr R, Dabelea D, Kaar J . Longitudinal association between television watching and computer use and risk markers in diabetes in the SEARCH for Diabetes in Youth Study. Pediatr Diabetes. 2014; 16(5):382-91. PMC: 4291304. DOI: 10.1111/pedi.12163. View

5.
Hu F . Sedentary lifestyle and risk of obesity and type 2 diabetes. Lipids. 2003; 38(2):103-8. DOI: 10.1007/s11745-003-1038-4. View