Literature DB >> 21726919

CR1 genotype is associated with entorhinal cortex volume in young healthy adults.

Janita Bralten1, Barbara Franke, Alejandro Arias-Vásquez, Angelien Heister, Han G Brunner, Guillén Fernández, Mark Rijpkema.   

Abstract

Gene-brain structure associations of 3 recently discovered risk genes for Alzheimer's disease, CLU (rs11136000C>T), CR1 (rs6656401G>A), and PICALM (rs3851179G>A), were investigated in 2 independent cohorts of young healthy adults (n = 430 and n = 492, respectively). We assessed structural differences in 2 core structures of Alzheimer pathology, entorhinal cortex and hippocampus, by voxel-based morphometry using high-resolution magnetic resonance imaging (MRI) data. For CLU and PICALM no significant genotype-related differences in local gray matter volume were found. CR1 risk allele (A) carriers showed smaller local gray matter volume in the entorhinal cortex, as confirmed in both cohorts. This association, apparent in young healthy adults, might mediate susceptibility for Alzheimer's disease later in life.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21726919     DOI: 10.1016/j.neurobiolaging.2011.05.017

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  19 in total

Review 1.  Genome-wide significant, replicated and functional risk variants for Alzheimer's disease.

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Journal:  J Neural Transm (Vienna)       Date:  2017-08-02       Impact factor: 3.575

2.  Genetic variation in ataxia gene ATXN7 influences cerebellar grey matter volume in healthy adults.

Authors:  Charlotte D C C van der Heijden; Mark Rijpkema; Alejandro Arias-Vásquez; Marina Hakobjan; Hans Scheffer; Guillen Fernandez; Barbara Franke; Bart P van de Warrenburg
Journal:  Cerebellum       Date:  2013-06       Impact factor: 3.847

Review 3.  The Role of PICALM in Alzheimer's Disease.

Authors:  Wei Xu; Lan Tan; Jin-Tai Yu
Journal:  Mol Neurobiol       Date:  2014-09-04       Impact factor: 5.590

Review 4.  CR1 in Alzheimer's disease.

Authors:  Xi-Chen Zhu; Jin-Tai Yu; Teng Jiang; Ping Wang; Lei Cao; Lan Tan
Journal:  Mol Neurobiol       Date:  2014-05-04       Impact factor: 5.590

5.  HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.

Authors:  Erdem Varol; Aristeidis Sotiras; Christos Davatzikos
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

Review 6.  Developmental roles of microglia: A window into mechanisms of disease.

Authors:  Sarah R Anderson; Monica L Vetter
Journal:  Dev Dyn       Date:  2018-12-10       Impact factor: 3.780

7.  Neuroimaging genetic risk for Alzheimer's disease in preclinical individuals: From candidate genes to polygenic approaches.

Authors:  Theresa M Harrison; Susan Y Bookheimer
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2016-01-01

Review 8.  Recent advances in imaging Alzheimer's disease.

Authors:  Meredith N Braskie; Arthur W Toga; Paul M Thompson
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

Review 9.  Neuroimaging and genetic risk for Alzheimer's disease and addiction-related degenerative brain disorders.

Authors:  Florence F Roussotte; Madelaine Daianu; Neda Jahanshad; Cassandra D Leonardo; Paul M Thompson
Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

Review 10.  Microglial malfunction: the third rail in the development of Alzheimer's disease.

Authors:  Siddhita D Mhatre; Connie A Tsai; Amanda J Rubin; Michelle L James; Katrin I Andreasson
Journal:  Trends Neurosci       Date:  2015-10       Impact factor: 13.837

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