You are here

Effect of Alzheimer's disease risk genes on trajectories of cognitive function in the Cardiovascular Health Study.

TitleEffect of Alzheimer's disease risk genes on trajectories of cognitive function in the Cardiovascular Health Study.
Publication TypeJournal Article
Year of Publication2012
AuthorsSweet, RA, Seltman, H, Emanuel, JE, Lopez, OL, Becker, JT, Bis, JC, Weamer, EA, Demichele-Sweet, MAnn A, Kuller, LH
JournalAm J Psychiatry
Volume169
Issue9
Pagination954-62
Date Published2012 Sep
ISSN1535-7228
KeywordsAge of Onset, Aged, Alleles, Alzheimer Disease, Apolipoprotein E4, Bayes Theorem, Clusterin, Cohort Studies, Dementia, Disease Progression, Female, Genetic Predisposition to Disease, Humans, Male, Models, Psychological, Monomeric Clathrin Assembly Proteins, Polymorphism, Single Nucleotide, Receptors, Complement 3b, Risk Factors
Abstract<p><b>OBJECTIVE: </b>The trajectory of cognitive decline in patients with late-onset Alzheimer's disease varies widely. Genetic variations in CLU, PICALM, and CR1 are associated with Alzheimer's disease, but it is unknown whether they exert their effects by altering cognitive trajectory in elderly individuals at risk for the disease.</p><p><b>METHOD: </b>The authors developed a Bayesian model to fit cognitive trajectories in a cohort of elderly subjects and test for genetic effects. They first validated the model's ability to detect the previously established effects of APOE ε4 alleles on age at cognitive decline and of psychosis on the rate of cognitive decline in 802 subjects from the Cardiovascular Health Cognition Study who did not have dementia at study entry and developed incident dementia during follow-up. The authors then evaluated the effects of CLU, PICALM, and CR1 on age and rate of decline in 1,831 subjects who did not have dementia at study entry and then did or did not develop incident dementia by study's end.</p><p><b>RESULTS: </b>The model generated robust fits to the observed cognitive trajectory data, and validation analysis supported the model's utility. CLU and CR1 were associated with more rapid cognitive decline. PICALM was associated with an earlier age at midpoint of cognitive decline. Associations remained after accounting for the effects of APOE and demographic factors.</p><p><b>CONCLUSIONS: </b>Evaluation of cognitive trajectories provides a powerful approach to dissecting genetic effects on the processes leading to cognitive deterioration and Alzheimer's disease.</p>
DOI10.1176/appi.ajp.2012.11121815
Alternate JournalAm J Psychiatry
PubMed ID22952074
PubMed Central IDPMC3610571
Grant ListN0-1-HC-85239 / HC / NHLBI NIH HHS / United States
AG15928 / AG / NIA NIH HHS / United States
N01-HC-85085 / HC / NHLBI NIH HHS / United States
R01 AG015928 / AG / NIA NIH HHS / United States
U01 HL080295 / HL / NHLBI NIH HHS / United States
N01-HC-85081 / HC / NHLBI NIH HHS / United States
N01 HC015103 / HC / NHLBI NIH HHS / United States
R56 AG020098 / AG / NIA NIH HHS / United States
N01HC55222 / HL / NHLBI NIH HHS / United States
N01-HC-85086 / HC / NHLBI NIH HHS / United States
N01HC85086 / HL / NHLBI NIH HHS / United States
N01-HC-85082 / HC / NHLBI NIH HHS / United States
AG05133 / AG / NIA NIH HHS / United States
N01-HC-55222 / HC / NHLBI NIH HHS / United States
HL087251 / HL / NHLBI NIH HHS / United States
N01-HC-85083 / HC / NHLBI NIH HHS / United States
N01-HC-75150 / HC / NHLBI NIH HHS / United States
N01-HC-85080 / HC / NHLBI NIH HHS / United States
P50 AG005133 / AG / NIA NIH HHS / United States
R01 AG020098 / AG / NIA NIH HHS / United States
N01HC75150 / HL / NHLBI NIH HHS / United States
R01 AG027224 / AG / NIA NIH HHS / United States
N01-HC-85079 / HC / NHLBI NIH HHS / United States
AG20098 / AG / NIA NIH HHS / United States
N01HC85079 / HL / NHLBI NIH HHS / United States
N01 HC045133 / HC / NHLBI NIH HHS / United States
N01 HC035129 / HC / NHLBI NIH HHS / United States
N01-HC-85084 / HC / NHLBI NIH HHS / United States
AG027224 / AG / NIA NIH HHS / United States