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Journal article

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

Abstract:
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 (n = 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1073/pnas.1313735110

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author


Publisher:
National Academy of Sciences
Journal:
Proceedings of the National Academy of Sciences More from this journal
Volume:
110
Issue:
47
Pages:
19006-19011
Publication date:
2013-11-19
DOI:
EISSN:
1091-6490
ISSN:
0027-8424


Language:
English
Keywords:
Subjects:
Pubs id:
pubs:446005
UUID:
uuid:e2d435ed-9abf-4741-8a53-a981f75a0e9f
Local pid:
pubs:446005
Source identifiers:
446005
Deposit date:
2014-01-18

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