The association between clock gene polymorphisms and type 2 diabetes: A systematic review and meta-analysis

Divya Joshi, Marie Pigeyre, Muhammad Usman Ali, Renee de Mutsert, Femke Rutters, David Campbell, Jean-Pierre Despres, Sayem Borhan, Talha Rafiq, Romy Slebe, Denis Blondin, Andre Carpentier, Joris Hoeks, Andries Kalsbeek, Patrick Schrauwen, Chun-Xia Yi, Parminder Raina*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

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Abstract

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.
Original languageEnglish
Article number103284
JournalDiabetes and Metabolic Syndrome: Clinical Research and Reviews
Volume19
Issue number7
DOIs
Publication statusPublished - 1 Jul 2025

Keywords

  • Chronotype
  • Circadian rhythm
  • Clock genes
  • Type 2 diabetes

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