Link of BIN1, CLU, and IDE Gene Polymorphisms with the Susceptibility of Alzheimer’s Disease: Evidence from a Meta-analysis

Author:

Safiqul Islam Mohammad12,Abdul Aziz Md.31,Md Ashraf Ghulam45

Affiliation:

1. Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur-3814, Noakhali, Bangladesh

2. Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, Noakhali-3814, Bangladesh

3. Department of Pharmacy, Faculty of Pharmacy and Health Sciences, State University of Bangladesh, Dhaka-1205, Bangladesh

4. Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia

5. Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia

Abstract

Background: Alzheimer’s disease (AD) is the most common form of neurodegenerative disorder. The association of BIN1, CLU, and IDE genetic polymorphisms with AD risk have been evaluated overtimes that produced conflicting outcomes. Objective: We performed this meta-analysis to investigate the contribution of BIN1 (rs744373 and rs7561528), CLU (rs11136000 and rs9331888), and IDE (rs1887922) polymorphisms to AD risk. Methods: From a systemic literature search up to July 15, 2021, we included 25 studies with rs744373, 16 studies with rs7561528, 37 studies with rs11136000, 16 studies with rs9331888, and 4 studies with rs1887922. To analyze the correlation, we constructed seven genetic models that used odds ratio and 95% confidence intervals. We used RevMan 5.4 for meta-analysis. Results: Our study suggests that BIN1 rs744373 is associated with a significantly increased risk of AD in five genetic models (OR>1). Again, CLU rs11136000 showed reduced association in all genetic models (OR<1). CLU rs9331888 revealed an increased association in two models (OR>1). The IDE rs1887922 showed significantly increased risk in four models (OR>1). From subgroup analysis, a significantly increased risk of AD was observed in Caucasians and Asians for BIN1 rs744373. Again, BIN1 rs7561528 showed a significantly enhanced risk of AD only in Caucasians. CLU rs11136000 showed significantly reduced risk in Caucasians but rs9331888 showed increased risk in the same ethnicity. Conclusion: Our meta-analysis confirms the association of BIN1 rs744373, CLU rs9331888, and IDE rs1887922 polymorphisms with an increased risk of AD, especially in Caucasians. Again, CLU rs11136000 is associated with reduced AD risk in the overall population and Caucasians.

Publisher

Bentham Science Publishers Ltd.

Subject

Neurology (clinical),Neurology

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