title: Genetic architecture of context processing in late middle age: more than one underlying mechanism.
abstract: Studies comparing young and older adults suggest a deficit in processing context information as a key mechanism underlying cognitive aging. However, the genetic architecture of context processing has not been examined. Consistent with previous results, we found evidence of functionally dissociable components of context processing accuracy in 1127 late middle-aged twins ages 51-60. One component emphasizes use of context cues to prepare responses (proactive cognitive control), and the other emphasizes adjustment of responses after probes are presented (reactive control). Approximately one-quarter of the variance in each component was accounted for by genes. Multivariate twin analysis indicated that genetic factors underlying two important components of context processing were independent of one another, thus implicating more than one underlying mechanism. Slower reaction time (RT) on noncontext processing trials was positively correlated with errors on the strongly proactive control component on which young adults outperform older adults, but RT was negatively correlated with errors on the strongly reactive control component on which older adults perform better. Although this RT measure was uncorrelated with chronological age in our age-homogeneous sample, slower RT was associated with performance patterns that were more like older adults. However, this did not generalize to other processing speed measures. Genetic correlations, which reflect shared genetic variance, paralleled the phenotypic correlations. There was also a positive genetic correlation between general cognitive ability and accuracy on the proactive control component, but there were still mostly distinct genetic influences underlying these measures. In contrast, the reactive control component was unrelated to general cognitive ability.
authors.affiliation: Department of Psychiatry, Center for Behavioral Genomics, University of California, San Diego, USA. wkremen@ucsd.edu
authors.forename: William S
authors.initials: WS
authors.lastname: Kremen
authors.forename: Matthew S
authors.initials: MS
authors.lastname: Panizzon
authors.forename: Hong
authors.initials: H
authors.lastname: Xian
authors.forename: Deanna M
authors.initials: DM
authors.lastname: Barch
authors.forename: Carol E
authors.initials: CE
authors.lastname: Franz
authors.forename: Michael D
authors.initials: MD
authors.lastname: Grant
authors.forename: Rosemary
authors.initials: R
authors.lastname: Toomey
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Lyons
mesh_terms: D000328:Adult; D000367:Age Factors; D000375:Aging / Q000235:genetics / Q000523:psychology*; D003071:Cognition / Q000502:physiology*; D003463:Cues; D006801:Humans; D007266:Inhibition, Psychological; D008297:Male; D008570:Memory, Short-Term / Q000502:physiology; D008875:Middle Aged; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D010641:Phenotype; D011930:Reaction Time / Q000502:physiology; D017603:Signal Detection, Psychological / Q000502:physiology; D013223:Statistics as Topic; D014481:United States; D055815:Young Adult