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 - 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
UR - https://www.scopus.com/pages/publications/105013847284
U2 - 10.1016/j.dsx.2025.103284
DO - 10.1016/j.dsx.2025.103284
M3 - Review article
C2 - 40850217
SN - 1871-4021
VL - 19
JO - Diabetes and Metabolic Syndrome: Clinical Research and Reviews
JF - Diabetes and Metabolic Syndrome: Clinical Research and Reviews
IS - 7
M1 - 103284
ER -