Literature DB >> 24956007

Genetic complexity of episodic memory: a twin approach to studies of aging.

William S Kremen1, Matthew S Panizzon1, Carol E Franz1, Kelly M Spoon1, Eero Vuoksimaa1, Kristen C Jacobson2, Terrie Vasilopoulos2, Hong Xian3, Jeanne M McCaffery4, Brinda K Rana1, Rosemary Toomey5, Ruth McKenzie5, Michael J Lyons5.   

Abstract

Episodic memory change is a central issue in cognitive aging, and understanding that process will require elucidation of its genetic underpinnings. A key limiting factor in genetically informed research on memory has been lack of attention to genetic and phenotypic complexity, as if "memory is memory" and all well-validated assessments are essentially equivalent. Here we applied multivariate twin models to data from late-middle-aged participants in the Vietnam Era Twin Study of Aging to examine the genetic architecture of 6 measures from 3 standard neuropsychological tests: the California Verbal Learning Test-2, and Wechsler Memory Scale-III Logical Memory (LM) and Visual Reproductions (VR). An advantage of the twin method is that it can estimate the extent to which latent genetic influences are shared or independent across different measures before knowing which specific genes are involved. The best-fitting model was a higher order common pathways model with a heritable higher order general episodic memory factor and three test-specific subfactors. More importantly, substantial genetic variance was accounted for by genetic influences that were specific to the latent LM and VR subfactors (28% and 30%, respectively) and independent of the general factor. Such unique genetic influences could partially account for replication failures. Moreover, if different genes influence different memory phenotypes, they could well have different age-related trajectories. This approach represents an important step toward providing critical information for all types of genetically informative studies of aging and memory. PsycINFO Database Record (c) 2014 APA, all rights reserved.

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Year:  2014        PMID: 24956007      PMCID: PMC4850834          DOI: 10.1037/a0035962

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


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