Mendelian randomization indicates a causal contribution of type 2 diabetes to retinal vein occlusion

被引:1
作者
Huang, Jian [1 ]
机构
[1] Guangxi Med Univ, Affiliated Hosp 1, Clin Lab Ctr, Nanning, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2023年 / 14卷
关键词
Mendelian randomization; retinal vein occlusion; type; 2; diabetes; causal association; risk; RISK-FACTORS; PREVALENCE; ASSOCIATIONS; BIAS;
D O I
10.3389/fendo.2023.1146185
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundRetinal vein occlusion (RVO) is a common retinal vascular disease that can cause severe visual impairment. Many observational studies have shown that type 2 diabetes (T2DM) is associated with RVO, but it remains unknown if the association is causal. The present study aimed to perform Mendelian randomization (MR) analyses to evaluate the causal contribution of genetically predicted T2DM to RVO. MethodsWe obtained summary-level data from a genome-wide association study meta-analysis including 48,286 cases and 250,671 controls for T2DM and from a genome wide association study of 372 cases and 182,573 controls in the FinnGen project for RVO. To verify the robustness of the results, an independent validation dataset for T2DM (12,931 cases and 57,196 controls) was used. In addition to the main MR analysis using the inverse variance weighted (fixed effect) approach, sensitivity analyses and multivariable MR adjusting for common risk factors of RVO were conducted. ResultsGenetically predicted T2DM was found to be causally associated with RVO risk (odds ratio (OR)=2.823, 95% confidence interval (CI): 2.072-3.847, P=4.868x10(-11)). This association was supported by sensitivity analyses using the weighted median (OR=2.415, 95% CI: 1.411-4.132, P=1.294x10(-3)), weighted mode (OR=2.370, 95% CI: 1.321-4.252, P=5.159x10(-3)), maximum likelihood (OR=2.871, 95% CI: 2.100-3.924, P=3.719x10(-11)), MR-PRESSO (OR=2.823, 95% CI: 2.135-3.733, P=5.150x10(-10)), and MR-Egger (OR=2.441, 95% CI: 1.149-5.184, P=2.335x10(-2)) methods. In addition, this association persisted in multivariable MR after accounting for common RVO risk factors (OR=1.748, 95% CI: 1.238-2.467, P=1.490x10(-3)). The MR analyses using the validation dataset obtained consistent results. ConclusionThis study indicates that genetically predicted T2DM may have a causal contribution to RVO. Future studies are required to elucidate the underlying mechanisms.
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页数:7
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共 46 条
  • [1] Type 2 diabetes
    Ahmad, Ehtasham
    Lim, Soo
    Lamptey, Roberta
    Webb, David R.
    Davies, Melanie J.
    [J]. LANCET, 2022, 400 (10365) : 1803 - 1820
  • [2] Investigation of Retinal Microcirculation in Diabetic Patients Using Adaptive Optics Ophthalmoscopy and Optical Coherence Angiography
    Balta, Florian
    Cristescu, Irina-Elena
    Mirescu, Andrada-Elena
    Balta, George
    Zemba, Mihail
    Tofolean, Ioana Teodora
    [J]. JOURNAL OF DIABETES RESEARCH, 2022, 2022
  • [3] Erythrocyte oxidative stress is associated with cell deformability in patients with retinal vein occlusion
    Becatti, M.
    Marcucci, R.
    Gori, A. M.
    Mannini, L.
    Grifoni, E.
    Liotta, A. Alessandrello
    Sodi, A.
    Tartaro, R.
    Taddei, N.
    Rizzo, S.
    Prisco, D.
    Abbate, R.
    Fiorillo, C.
    [J]. JOURNAL OF THROMBOSIS AND HAEMOSTASIS, 2016, 14 (11) : 2287 - 2297
  • [4] An Overview of Methods and Exemplars of the Use of Mendelian Randomisation in Nutritional Research
    Bennett, Derrick A.
    Du, Huaidong
    [J]. NUTRIENTS, 2022, 14 (16)
  • [5] Spectrum of Eye Disease in Diabetes (SPEED) in India: A prospective facility-based study. Report # 3. Retinal vascular occlusion in patients with type 2 diabetes mellitus
    Bhattacharjee, Harsha
    Barman, Manabjyoti
    Misra, Divakant
    Multani, Prabhjot K.
    Dhar, Shriya
    Behera, Umesh C.
    Das, Taraprasad
    Gilbert, Clare
    Murthy, G. V. S.
    Rajalakshmi, R.
    Pant, Hira B.
    [J]. INDIAN JOURNAL OF OPHTHALMOLOGY, 2020, 68 : S27 - S31
  • [6] Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes
    Bonas-Guarch, Silvia
    Guindo-Martinez, Marta
    Miguel-Escalada, Irene
    Grarup, Niels
    Sebastian, David
    Rodriguez-Fos, Elias
    Sanchez, Friman
    Planas-Felix, Merce
    Cortes-Sanchez, Paula
    Gonzalez, Santi
    Timshel, Pascal
    Pers, Tune H.
    Morgan, Claire C.
    Moran, Ignasi
    Atla, Goutham
    Gonzalez, Juan R.
    Puiggros, Montserrat
    Marti, Jonathan
    Andersson, Ehm A.
    Diaz, Carlos
    Badia, Rosa M.
    Udler, Miriam
    Leong, Aaron
    Kaur, Varindepal
    Flannick, Jason
    Jorgensen, Torben
    Linneberg, Allan
    Jorgensen, Marit E.
    Witte, Daniel R.
    Christensen, Cramer
    Brandslund, Ivan
    Appel, Emil V.
    Scott, Robert A.
    Luan, Jian'an
    Langenberg, Claudia
    Wareham, Nicholas J.
    Pedersen, Oluf
    Zorzano, Antonio
    Florez, Jose C.
    Hansen, Torben
    Ferrer, Jorge
    Maria Mercader, Josep
    Torrents, David
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [7] Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
    Bowden, Jack
    Smith, George Davey
    Haycock, Philip C.
    Burgess, Stephen
    [J]. GENETIC EPIDEMIOLOGY, 2016, 40 (04) : 304 - 314
  • [8] Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
    Bowden, Jack
    Smith, George Davey
    Burgess, Stephen
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) : 512 - 525
  • [9] Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data
    Burgess, Stephen
    Foley, Christopher N.
    Zuber, Verena
    [J]. ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, VOL 19, 2018, 19 : 303 - 327
  • [10] Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants
    Burgess, Stephen
    Bowden, Jack
    Fall, Tove
    Ingelsson, Erik
    Thompson, Simon G.
    [J]. EPIDEMIOLOGY, 2017, 28 (01) : 30 - 42