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Poster Presentations: P4P662
P4-081 GENETIC VARIABILITY IN THE CHOLESTERYL
ESTER TRANSFER PROTEIN (CETP) GENE MAY
BUFFERTHEEFFECTOFAPOE-ε4ON INCIDENCE
OFAMNESTIC MILD COGNITIVE IMPAIRMENT
(AMCI): RESULTS FOR THE EINSTEIN AGING
STUDY (EAS)
Richard Lipton1, Cuiling Wang1, Mindy Katz1, Molly Zimmerman1,
Carol Derby1, Joe Verghese1, Amy Sanders1, Laurie Ozelius2, Nir Barzilai1,1Albert Einstein College of Medicine, Bronx, New York, United States;2Mount Sinai School of Medicine, New York, New York, United States.
Background: Some carriers of the APOE4 allele do not develop AD, per-
haps because of gene-gene interactions. A single-nucleotide polymorphism
(SNP) at CETp codon 405 (isoleucine to valine V405; rs5882) has been as-
sociated with exceptional longevity and reduced risk of aMCI and AD in
some cohort studies. Based on the observation that dementia-free centenar-
ians with an APOE4 allele tend to carry the CETp V405 variant, we hypoth-
esized that CETPV405 may buffer the influence of APOE4 on the onset of
aMCI and AD. Methods: Analyses were based on follow-up data from the
EAS, a longitudinal study of an ethnically diverse community-based Bronx
cohort. Participants free of dementia and aMCI at baselinewith serial neuro-
psychological and neurological exams were eligible.We examined the influ-
ence of carrying at least one APOE 4 allele on the onset of aMCI, first in the
entire sample and then in subgroups stratified by CETPV405; V+ denotes at
least 1 copy of the CETPV405 variant; V- denotes the CETPI405I genotype.
The effect of genotype on time to onset of aMCI was assessed using Cox
models adjusting for age, gender, education, race and medical comorbid-
ities. Results: The eligible sample included 655 individuals free of both
aMCI and dementia at baseline.121 (18.5%) participants developed incident
aMCI over a mean 4.5 years of follow-up. In the entire sample, carriers of at
least one APOE 4 allele had a non-significant increased risk of incident
aMCI (HR 1.7; 95% CI: 0.7-3.8). In the V- group, the HR for incident
aMCI between APOE 4 carriers and non-carriers was 4.2 (95% CI: 1.2 -
14.9) in the combined ethnic sample and 8.5 (95% CI: 2.4-30.5) in Cauca-
sians. In the V+ group, the HR was 1.0 (95% CI: 0.32 - 3.3) in the combined
ethnic sample and 0.7 (95% CI: 0.1-5.4) in Caucasians. There was a differ-
ential effect of APOE4 on aMCI onset depending upon CETP genotype (P¼0.017). Conclusions: T his stratified analysis suggests a gene-gene interac-
tion between CETp V405 and APOE; the CETp V405 appears to buffer the
effect of APOE4 on aMCI. These findings need replication in other samples
and extension to other endpoints including AD.
P4-082 THE EFFECTS OFAPOLIPOPROTEIN GENOTYPE
ON THE DIAGNOSTIC ACCURACY OF
CEREBROISPINAL FLUID BIOMARKERS FOR
ALZHEIMER’S DISEASE
Ronald Lautner1, Henrik Zetterberg2, Kaj Blennow2, Anders Wallin2,
Sanna-Kaisa Herukka3, Harald Hampel4, Dan Rujescu5, Michael Ewers6,
Niklas Mattsson2, Oskar Hansson7, 1Institute of Neuroscience and
Physiology, University of Gothenburg, M€olndal, Sweden; 2University of
Gothenburg, M€olndal, Sweden; 3University of Eastern Finland, Kuopio,
Finland; 4University of Frankfurt, Frankfurt/Main, Germany;5Ludwig-Maximilians-University Munich, Munich, Germany; 6University
of California, San Francisco, San Francisco, California, United States;7Lund University, Lund, Sweden.
Background:APOEmight modulate the levels of cerebrospinal fluid (CSF)
biomarkers associated with Alzheimer’s disease (AD), especially Ab42.
Here, we aimed to evaluate the effects of the APOE E2/E3/E4 polymor-
phism on the diagnostic accuracy of CSF biomarkers for AD. Methods:
APOE genotype and the CSF levels of Ab42, T-tau and P-tau were deter-
mined in a cohort comprising of 1345 individuals, including 251 controls,
399 patients with stable mild cognitive impairment (MCI), 287 patients
with prodromal AD, 309 demented patients with AD, and 99 patients
with other dementias than AD. Results: CSF levels of Ab42, but not T-
tau or P-tau, were lower in APOE E4 carriers than in non-carriers in
a gene dose-dependent manner irrespective of diagnostic group. However,
the levels of Ab42, T-tau and P-tau differed significantly between subjects
with AD when compared to controls, cases with stable MCI, and patients
with other dementias than AD - even when analyzing subgroups according
to APOE E4 carrier status separately. ROC analysis revealed that Ab42 and
Tau proteins can be used to detect ADwith adequate accuracy (AUCs>0.82)
in individuals with zero or one E4 allele. However, the diagnostic accuracy
of Ab42 in individuals with two alleles was lower (AUC¼0.73). Multivar-
iate binary logistic regression revealed that Ab42 and the Ab42/tau
ratio are more strongly associated with AD than the APOE genotype.
Conclusions: APOE genotype modulates CSF levels of Ab42. However,
the CSF biomarkers, including Ab42, are strongly associated with AD inde-
pendently of APOE genotype.
P4-083 GENOME-WIDE ASSOCIATION ANALYSES OF
ONSETAGE IN LATE-ONSETALZHEIMER’S
DISEASE (LOAD) DEMONSTRATE NO STRONG
EFFECT OUTSIDE OF THE APOLIPOPROTEIN
REGION
Adam Naj1, Yo Park1, Ruchita Rajbhandary1, Kara Hamilton-Nelson1,
Gary Beecham1, Eden Martin1, Richard Mayeux2, Jonathan Haines3,
Lindsay Farrer4, Gerard Schellenberg5, Margaret Pericak-Vance6,
Alzheimer’s Disease Genetics Consortium7, 1University of Miami Miller
School of Medicine, Miami, Florida, United States; 2Columbia University
College of Physicians and Surgeons, New York, New York, United States;3Vanderbilt University Medical Center, Nashville, Tennessee, United States;4Boston University School of Medicine, Boston, Massachusetts, United
States; 5Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pennsylvania, United States; 6John P Hussman Institute for
Human Genomics, Miami, Florida, United States; 7ADGC, Philadelphia,
Pennsylvania, United States.
Background: LOAD risk loci may also contribute to variation in age of on-
set (AAO) of LOAD, as do the allelic variants in APOE. However, roles in
AAO for the nine newly identified risk loci have not been explored. Daw et
al. (2000) estimated 4 additional loci with effects as great as or greater than
APOE contribute to AAO variation. We examined variants at ten confirmed
LOAD risk loci (APOE, CLU, PICALM, CR1, BIN1, CD2Ap, EPHA1,
ARID5B, the MS4A region, ABCA7, and CD33) to determine if they con-
tribute to variation in AAO among 9,160 LOAD cases from the Alzheimer’s
disease Genetics Consortium (ADGC). Methods: Examining the variants
most significantly associated with LOAD risk at each locus, we tested asso-
ciation with AAO using linear modeling assuming additive effects, adjusted
for population substructure, and performed a random-effects meta-analysis
across datasets.We also performed a genetic burden analysis using genotype
scores weighted by effect sizes from association testing to examine the
aggregate contribution of these loci to variation in the AAO phenotype.
Results: Preliminary analyses confirmed association of APOE regional var-
iation with AAO (rs6857, P¼ 3.30x10�96). Variants at several other LOAD
risk loci also demonstrated statistically significant associations with AAO
(P<0.005), including rs6701713 in CR1 (P ¼ 0.00717), rs7561528 in
BIN1 (P ¼ 0.00478), rs561655 in PICALM (P ¼ 0.00223). APOE contrib-
utes to 3.1% of variation in AAO (R 2¼0.220) whereas the other nine genes
contribute to 1.1% of variation (R 2¼0.200) over baseline (R 2¼0.189).We
performed a GWAS to see if any other genomic variants with weak or no
association to LOAD risk were associated with AAO, and found several in-
teresting but not genome-wide significant associations in a chromosome
8q24.11 region including RAD21 (P ¼ 2.38 x10�6), chromosome 6q16.1
(P ¼ 6.1710 -6), CIB4 (P ¼ 7.70 x10�6), and ABCC4 (P ¼ 9.25x10�6).
Conclusions: In AAO analyses among LOAD cases, we confirmed that as-
sociations of APOE variants with AAO are by far the strongest in the ge-
nome, and in contrast to earlier hypothetical modeling, we show that the
combined effects of other loci do not exceed the effect of APOE on AAO.
If additional genetic contributors to AAO exist, they are individually very
small or are hidden in gene-gene interactions.