Oncotarget

Research Papers: Gerotarget (Focus on Aging):

INPP5D rs35349669 polymorphism with late-onset Alzheimer’s disease: A replication study and meta-analysis

Hua Jing _, Jun-Xia Zhu, Hui-Fu Wang, Wei Zhang, Zhan-Jie Zheng, Ling-Li Kong, Chen-Chen Tan, Zi-Xuan Wang, Lin Tan and Lan Tan

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Oncotarget. 2016; 7:69225-69230. https://doi.org/10.18632/oncotarget.12648

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Abstract

Hua Jing1,*, Jun-Xia Zhu1,*, Hui-Fu Wang1, Wei Zhang2, Zhan-Jie Zheng3, Ling-Li Kong3, Chen-Chen Tan1, Zi-Xuan Wang1, Lin Tan4 and Lan Tan1,4

1 Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, PR China

2 Department of Emergency, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, PR China

3 Department of Geriatric, Qingdao Mental Health Center, Qingdao, PR China

4 College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, PR China

* The first two authors should be regarded as co-first authors

Correspondence to:

Lan Tan, email:

Keywords: Alzheimer’s disease; INPP5D; rs35349669; association study; meta-analysis; Gerotarget

Received: May 05, 2016 Accepted: October 02, 2016 Published: October 13, 2016

Abstract

Inositol polyphosphate-5-phosphatase (INPP5D) was reported to be associated with Alzheimer’s disease (AD) through modulating the inflammatory process and immune response. A recent genome-wide association study discovered a new locus single nucleotide polymorphism (SNP, rs35349669) of INPP5D which was significantly associated with susceptibility to late-onset Alzheimer’s disease (LOAD) in Caucasians. In this study, we investigated the relations between the INPP5D polymorphism rs35349669 and LOAD in Han Chinese population comprising 984 LOAD cases and 1352 healthy controls being matched for age and gender. Our results showed no obvious differences in the genotypic or allelic distributions of rs35349669 polymorphism between LOAD cases and healthy controls (genotype: p = 0.167; allele: p = 0.094). Additionally, when these data were stratified by APOEε4 status, there are still no evident differences in the genotypic or allelic distributions in APOEε4 carriers (p > 0.05). Furthermore, meta-analysis of 81964 individuals confirmed that rs35349669 was significantly associated with the risk for LOAD (OR=1.08, 95%CI=1.06-1.11), but the results remained negative in Chinese subgroup (OR=0.77, 95%CI=0.53-1.13). Overall, the current evidence did not indicate that INPP5D rs35349669 polymorphism play a role in the genetic predisposition to LOAD in Chinese population.


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