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

Authors :
Glahn DC
Kent JW Jr
Sprooten E
Diego VP
Winkler AM
Curran JE
McKay DR
Knowles EE
Carless MA
Göring HH
Dyer TD
Olvera RL
Fox PT
Almasy L
Charlesworth J
Kochunov P
Duggirala R
Blangero J
Source :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2013 Nov 19; Vol. 110 (47), pp. 19006-11. Date of Electronic Publication: 2013 Nov 04.
Publication Year :
2013

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.

Details

Language :
English
ISSN :
1091-6490
Volume :
110
Issue :
47
Database :
MEDLINE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
24191011
Full Text :
https://doi.org/10.1073/pnas.1313735110