TY - JOUR
T1 - The association between clock gene polymorphisms and type 2 diabetes
T2 - A systematic review and meta-analysis
AU - Joshi, Divya
AU - Pigeyre, Marie
AU - Ali, Muhammad Usman
AU - de Mutsert, Renee
AU - Rutters, Femke
AU - Campbell, David
AU - Despres, Jean Pierre
AU - Borhan, Sayem
AU - Rafiq, Talha
AU - Slebe, Romy
AU - Blondin, Denis
AU - Carpentier, Andre
AU - Hoeks, Joris
AU - Kalsbeek, Andries
AU - Schrauwen, Patrick
AU - Yi, Chun Xia
AU - Raina, Parminder
N1 - Funding Information:
This study was funded by The Netherlands Organization for Health Research and Development (ZonMw) [459001021], Dutch Diabetes Research Foundation ( Diabetes Fonds ) [2019.11.101], the Canadian Institutes of Health Research (CIHR) [TNC-174963], and Health-Holland [LSHM20107]. This collaborative project is co-financed with PPP-allowance made available by Health-Holland, Topsector Life Sciences & Health, to stimulate public-private partnerships. Parminder Raina holds the Raymond and Margaret Labarge Chair in Optimal Aging and Knowledge Application for Optimal Aging, is the Director of the McMaster Institute for Research on Aging and the Labarge Centre for Mobility in Aging and holds a Tier 1 Canada Research Chair in Geroscience. Andr\u00E9 C. Carpentier holds the Tier 1 Canada Research Chair in Molecular Imaging of Diabetes.
Publisher Copyright:
© 2025 Research Trust of DiabetesIndia (DiabetesIndia) and National Diabetes Obesity and Cholesterol Foundation (N-DOC)
PY - 2025/7/1
Y1 - 2025/7/1
N2 - Background: Misalignment of the endogenous circadian system may contribute to the risk of type 2 diabetes. This systematic review and meta-analysis examined the association between clock gene polymorphisms and glycemic parameters and type 2 diabetes. Methods: Embase, Medline, and Web of Science databases were searched from inception to August 20, 2024. Empirical studies examining the association between core clock gene polymorphisms and type 2 diabetes and glycemic parameters, and studies examining non-core clock genes with information on environmental factors were included. A multi-level meta-analytical approach was used, and a weighted odds ratio was reported (PROSPERO, CRD42022337706). Results: In total, 37 studies comprising 535,063 participants were included. CRY2 was associated with higher fasting blood glucose (OR: 1.07, 95 % CI: 1.03–1.11) and impaired glucose tolerance (OR: 1.02, CI: 1.00–1.04). Polymorphisms in MTNR1B were associated with a greater risk of type 2 diabetes. CLOCK was associated with lower risk of type 2 diabetes (OR: 0.94, CI: 0.89–1.00), and PER3 was associated with lower fasting insulin (OR: 0.94, CI: 0.91–0.97) and lower risk of insulin resistance (OR: 0.92, CI: 0.88–0.95). These associations reflect pooled variant-level effects within genes, and the effects of certain variants were modified by diet, alcohol consumption, physical activity, sleep, and length of daylight. Conclusions: Specific polymorphisms in circadian genes, including CRY2, MTNR1B, CLOCK, and PER3, were associated with glycemic parameters and type 2 diabetes risk. These associations may be influenced by lifestyle and environmental factors, and interventions targeting circadian alignment could potentially modify diabetes risk, although further research is needed.
AB - Background: Misalignment of the endogenous circadian system may contribute to the risk of type 2 diabetes. This systematic review and meta-analysis examined the association between clock gene polymorphisms and glycemic parameters and type 2 diabetes. Methods: Embase, Medline, and Web of Science databases were searched from inception to August 20, 2024. Empirical studies examining the association between core clock gene polymorphisms and type 2 diabetes and glycemic parameters, and studies examining non-core clock genes with information on environmental factors were included. A multi-level meta-analytical approach was used, and a weighted odds ratio was reported (PROSPERO, CRD42022337706). Results: In total, 37 studies comprising 535,063 participants were included. CRY2 was associated with higher fasting blood glucose (OR: 1.07, 95 % CI: 1.03–1.11) and impaired glucose tolerance (OR: 1.02, CI: 1.00–1.04). Polymorphisms in MTNR1B were associated with a greater risk of type 2 diabetes. CLOCK was associated with lower risk of type 2 diabetes (OR: 0.94, CI: 0.89–1.00), and PER3 was associated with lower fasting insulin (OR: 0.94, CI: 0.91–0.97) and lower risk of insulin resistance (OR: 0.92, CI: 0.88–0.95). These associations reflect pooled variant-level effects within genes, and the effects of certain variants were modified by diet, alcohol consumption, physical activity, sleep, and length of daylight. Conclusions: Specific polymorphisms in circadian genes, including CRY2, MTNR1B, CLOCK, and PER3, were associated with glycemic parameters and type 2 diabetes risk. These associations may be influenced by lifestyle and environmental factors, and interventions targeting circadian alignment could potentially modify diabetes risk, although further research is needed.
KW - Chronotype
KW - Circadian rhythm
KW - Clock genes
KW - Type 2 diabetes
U2 - 10.1016/j.dsx.2025.103284
DO - 10.1016/j.dsx.2025.103284
M3 - (Systematic) Review article
SN - 1871-4021
VL - 19
JO - Diabetes & Metabolic Syndrome: Clinical Research & Reviews
JF - Diabetes & Metabolic Syndrome: Clinical Research & Reviews
IS - 7
M1 - 103284
ER -