Title |
Associations of MAP2K3 Gene Variants With Superior Memory in SuperAgers
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Published in |
Frontiers in Aging Neuroscience, May 2018
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DOI | 10.3389/fnagi.2018.00155 |
Pubmed ID | |
Authors |
Matthew J. Huentelman, Ignazio S. Piras, Ashley L. Siniard, Matthew D. De Both, Ryan F. Richholt, Chris D. Balak, Pouya Jamshidi, Eileen H. Bigio, Sandra Weintraub, Emmaleigh T. Loyer, M.-Marsel Mesulam, Changiz Geula, Emily J. Rogalski |
Abstract |
Introduction: SuperAgers are adults age 80+ with episodic memory performance that is at least as good as that of average middle-aged adults. Understanding the biological determinants of SuperAging may have relevance to preventing age-related cognitive decline and dementia. This study aimed to identify associations between genetic variations and the SuperAging phenotype using Whole Exome Sequencing (WES). Methods: Sequence Kernel Association Combined (SKAT-C) test was conducted at the gene level including both rare and common variants in 56 SuperAgers and 22 cognitively-average controls from the Alzheimer's disease Neuroimaging Initiative (ADNI). Results: The SuperAging phenotype was associated with variants in the Mitogen-Activated Protein Kinase Kinase 3 (MAP2K3) gene. Three single nucleotide polymorphisms (SNPs) contributed to the significance (rs2363221 [intron 1], rs2230435 [exon 5], rs736103 [intron 7]). Conclusions: MAP2K3 resides in a biological pathway linked to memory. It is in a signaling cascade associated with beta-amyloid mediated apoptosis and has enriched expression in microglia. This preliminary work suggests MAP2K3 may represent a novel therapeutic target for age-related memory decline and perhaps Alzheimer's disease (AD). |
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United States | 4 | 40% |
United Kingdom | 1 | 10% |
Switzerland | 1 | 10% |
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Unknown | 3 | 30% |
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Mendeley readers
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Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 9 | 17% |
Student > Bachelor | 9 | 17% |
Researcher | 5 | 10% |
Student > Ph. D. Student | 5 | 10% |
Professor > Associate Professor | 4 | 8% |
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Medicine and Dentistry | 3 | 6% |
Other | 7 | 13% |
Unknown | 14 | 27% |