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


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.

SUBMITTER: Ma J 

PROVIDER: S-EPMC5312275 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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

Ma Jing J   Zhang Wei W   Tan Lin L   Wang Hui-Fu HF   Wan Yu Y   Sun Fu-Rong FR   Tan Chen-Chen CC   Yu Jin-Tai JT   Tan Lan L   Alzheimer's Disease Neuroimaging Initiative  

Oncotarget 20160901 37


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 str  ...[more]

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