Oncotarget

Research Papers: Gerotarget (Focus on Aging):

MS4A6A genotypes are associated with the atrophy rates of Alzheimer’s disease related brain structures

Jing Ma, Wei Zhang, Lin Tan, Hui-Fu Wang, Yu Wan, Fu-Rong Sun, Chen-Chen Tan, Jin-Tai Yu, Lan Tan _ and Alzheimer’s Disease Neuroimaging Initiative

PDF  |  HTML  |  Supplementary Files  |  How to cite  |  Order a Reprint

Oncotarget. 2016; 7:58779-58788. https://doi.org/10.18632/oncotarget.9563

Metrics: PDF 707 views  |   HTML 1233 views  |   ?  


Abstract

Jing Ma1,*, Wei Zhang1,*, Lin Tan2, Hui-Fu Wang1, Yu Wan1, Fu-Rong Sun1, Chen-Chen Tan1, Jin-Tai Yu1, Lan Tan1,2 and Alzheimer’s Disease Neuroimaging Initiative**

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

2 College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China

* These authors have contributed equally to this work

** Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf

Correspondence to:

Lan Tan, email:

Keywords: Alzheimer’s disease; MS4A6A; polymorphisms; phenotypes; brain structure; Gerotarget

Received: February 13, 2016 Accepted: April 26, 2016 Published: May 23, 2016

Abstract

Membrane-spanning 4-domains, subfamily A, member 6A (MS4A6A) has been identified as susceptibility loci of Alzheimer’s disease (AD) by several recent genome-wide association studies (GWAS), whereas little is known about the potential roles of these variants in the brain structure and function of AD. In this study, we included a total of 812 individuals from the Alzheimer’s disease Neuroimaging Initiative (ADNI) database. Using multiple linear regression models, we found MS4A6A genotypes were strongly related to atrophy rate of left middle temporal (rs610932: Pc = 0.017, rs7232: Pc = 0.022), precuneus (rs610932: Pc = 0.015) and entorhinal (rs610932, Pc = 0.022) on MRI in the entire group. In the subgroup analysis, MS4A6A SNPs were significantly accelerated the percentage of volume loss of middle temporal, precuneus and entorhinal, especially in the MCI subgroup. These findings reveal that MS4A6A genotypes affect AD specific brain structures which supported the possible role of MS4A6A polymorphisms in influencing AD-related neuroimaging phenotypes.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 9563