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[Obstructive sleep apnea and type 2 diabetes: a bidirectional Mendelian randomization study].
Xia, L; Li, Z Q; Xie, Z N; Zhang, Q X; Li, M Y; Zhang, C Y; Chen, Y Z.
Affiliation
  • Xia L; School of clinical medicine, Dali University, Dali 671000, China.
  • Li ZQ; School of clinical medicine, Dali University, Dali 671000, China.
  • Xie ZN; Department of Otorhinolaryngology, Chongqing Armed Police Corps Hospital, Chongqing 400061, China.
  • Zhang QX; Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China.
  • Li MY; Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China.
  • Zhang CY; Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China.
  • Chen YZ; Department of Otorhinolaryngology, the First Affiliated Hospital of Dali University, Dali 671000, China.
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi ; 58(10): 974-979, 2023 Oct 07.
Article in Zh | MEDLINE | ID: mdl-37840162
ABSTRACT

Objective:

This study aims to explore the causal relationship between obstructive sleep apnea (OSA) and type 2 diabetes (T2D) using bidirectional Mendelian randomization (MR).

Methods:

The genetic data related to OSA were obtained from the FinnGen Biobank (Ncase=16, 761, Ncontrol=201, 194) in the Genome-wide association study (GWAS). Three single nucleotide polymorphism (SNP) were screened out as instrumental variable (IV) of OSA. The genetic data related to T2D were derived from a large Meta-analysis of GWAS (Ncase=62, 892, Ncontrol=596, 424), 114 SNP were selected as IV of T2D. Multiple MR methods were used for analysis and inverse variance weighted (IVW) was performed as main method. The sensitivity of MR analytic results was analyzed using MR-Egger and other methods, and the IV was evaluated using F-value statistics.

Results:

MR analysis showed that OSA was significantly associated with increased risk of T2D (OR=2.016, 95%CI 1.185-3.429, P<0.05). There was no significant relationship between T2D and OSA risk (OR=1.030, 95%CI 0.980-1.082, P=0.238). There was heterogeneity in both-way results (OSA➝T2D, P=1.808×10-11; T2D➝OSA, P=1.729×10-7), and no horizontal pleiotropy (OSA➝T2D, P=0.477; T2D➝OSA, P=0.349). IV of OSA and T2D-selected in the study were strong instrumental variables (F statistics of OSA=20.543; F statistics of T2D=30.117).

Conclusion:

Our results supported that OSA was a risk factor for T2D, but T2D had no significant impact on the incidence of OSA. Blood glucose monitoring and diabetes screening in OSA patients might be beneficial to the early detection and intervention of T2D.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sleep Apnea, Obstructive / Diabetes Mellitus, Type 2 Type of study: Systematic_reviews Limits: Humans Language: Zh Journal: Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sleep Apnea, Obstructive / Diabetes Mellitus, Type 2 Type of study: Systematic_reviews Limits: Humans Language: Zh Journal: Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi Year: 2023 Document type: Article Affiliation country: