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

  • David V. Glahn
  • , Jack W. Kent
  • , Emma Sprooten
  • , Vincent P. Diego
  • , Anderson M. Winkler
  • , Joanne E Curran
  • , D. Reese McKay
  • , Emma E. Knowles
  • , Melanie A Carless
  • , Harald HH Goring
  • , Thomas D. Dyer
  • , Rene L. Olvera
  • , Peter T. Fox
  • , Laura A Almasy
  • , Jac Charlesworth
  • , Peter Kochunov
  • , Ravindranath Duggirala
  • , John C Blangero

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)19006-19011
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume110
Issue number47
DOIs
StatePublished - Nov 19 2013

ASJC Scopus subject areas

  • General

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