Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging

Identification of genes associated with brain aging should markedly improve our understanding of the biological processes that govern normal age-related decline. However, challenges to identifying genes that facilitate successful brain aging are considerable, including a lack of established phenotyp...

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Main Authors: Glahn, D, Kent, J, Sprooten, E, Diego, V, Winkler, A, Curran, J, McKay, DR, Knowles, E, Carless, M, Goring, H, Dyer, T, Olvera, R, Fox, P, Almasy, L, Charlesworth, J, Kochunov, P, Duggirala, R, Blangero, J
Format: Journal article
Language:English
Published: National Academy of Sciences 2013
Subjects:
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author Glahn, D
Kent, J
Sprooten, E
Diego, V
Winkler, A
Curran, J
McKay, DR
Knowles, E
Carless, M
Goring, H
Dyer, T
Olvera, R
Fox, P
Almasy, L
Charlesworth, J
Kochunov, P
Duggirala, R
Blangero, J
author_facet Glahn, D
Kent, J
Sprooten, E
Diego, V
Winkler, A
Curran, J
McKay, DR
Knowles, E
Carless, M
Goring, H
Dyer, T
Olvera, R
Fox, P
Almasy, L
Charlesworth, J
Kochunov, P
Duggirala, R
Blangero, J
author_sort Glahn, D
collection OXFORD
description Identification of genes associated with brain aging should markedly improve our understanding of the biological processes that govern normal age-related decline. However, challenges to identifying genes that facilitate successful brain aging are considerable, including a lack of established phenotypes and difficulties in modeling the effects of aging per se, rather than genes that influence the underlying trait. In a large cohort of randomly selected pedigrees (<em>n</em> = 1,129 subjects), we documented profound aging effects from young adulthood to old age (18–83 y) on neurocognitive ability and diffusion-based white-matter measures. Despite significant phenotypic correlation between white-matter integrity and tests of processing speed, working memory, declarative memory, and intelligence, no evidence for pleiotropy between these classes of phenotypes was observed. Applying an advanced quantitative gene-by-environment interaction analysis where age is treated as an environmental factor, we demonstrate a heritable basis for neurocognitive deterioration as a function of age. Furthermore, by decomposing gene-by-aging (G × A) interactions, we infer that different genes influence some neurocognitive traits as a function of age, whereas other neurocognitive traits are influenced by the same genes, but to differential levels, from young adulthood to old age. In contrast, increasing white-matter incoherence with age appears to be nongenetic. These results clearly demonstrate that traits sensitive to the genetic influences on brain aging can be identified, a critical first step in delineating the biological mechanisms of successful aging.
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spelling oxford-uuid:e2d435ed-9abf-4741-8a53-a981f75a0e9f2022-03-27T10:04:26Z Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain agingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e2d435ed-9abf-4741-8a53-a981f75a0e9fCognitive NeuroscienceNeurogeneticsNeuropsychologyNeuroscienceGenetics (medical sciences)NeurologyEnglishSymplectic Elements at OxfordNational Academy of Sciences2013Glahn, DKent, JSprooten, EDiego, VWinkler, ACurran, JMcKay, DRKnowles, ECarless, MGoring, HDyer, TOlvera, RFox, PAlmasy, LCharlesworth, JKochunov, PDuggirala, RBlangero, JIdentification of genes associated with brain aging should markedly improve our understanding of the biological processes that govern normal age-related decline. However, challenges to identifying genes that facilitate successful brain aging are considerable, including a lack of established phenotypes and difficulties in modeling the effects of aging per se, rather than genes that influence the underlying trait. In a large cohort of randomly selected pedigrees (<em>n</em> = 1,129 subjects), we documented profound aging effects from young adulthood to old age (18–83 y) on neurocognitive ability and diffusion-based white-matter measures. Despite significant phenotypic correlation between white-matter integrity and tests of processing speed, working memory, declarative memory, and intelligence, no evidence for pleiotropy between these classes of phenotypes was observed. Applying an advanced quantitative gene-by-environment interaction analysis where age is treated as an environmental factor, we demonstrate a heritable basis for neurocognitive deterioration as a function of age. Furthermore, by decomposing gene-by-aging (G × A) interactions, we infer that different genes influence some neurocognitive traits as a function of age, whereas other neurocognitive traits are influenced by the same genes, but to differential levels, from young adulthood to old age. In contrast, increasing white-matter incoherence with age appears to be nongenetic. These results clearly demonstrate that traits sensitive to the genetic influences on brain aging can be identified, a critical first step in delineating the biological mechanisms of successful aging.
spellingShingle Cognitive Neuroscience
Neurogenetics
Neuropsychology
Neuroscience
Genetics (medical sciences)
Neurology
Glahn, D
Kent, J
Sprooten, E
Diego, V
Winkler, A
Curran, J
McKay, DR
Knowles, E
Carless, M
Goring, H
Dyer, T
Olvera, R
Fox, P
Almasy, L
Charlesworth, J
Kochunov, P
Duggirala, R
Blangero, J
Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
title Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
title_full Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
title_fullStr Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
title_full_unstemmed Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
title_short Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging
title_sort genetic basis of neurocognitive decline and reduced white matter integrity in normal human brain aging
topic Cognitive Neuroscience
Neurogenetics
Neuropsychology
Neuroscience
Genetics (medical sciences)
Neurology
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