Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging
Deposition of amyloid plaques in the brain is one of the two main pathological hallmarks of Alzheimer’s disease (AD). Amyloid positron emission tomography (PET) is a neuroimaging tool that selectively detects in vivo amyloid deposition in the brain and is a reliable endophenotype for AD that complem...
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Published in | Molecular psychiatry Vol. 26; no. 1; pp. 309 - 321 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.01.2021
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1359-4184 1476-5578 1476-5578 |
DOI | 10.1038/s41380-018-0246-7 |
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Summary: | Deposition of amyloid plaques in the brain is one of the two main pathological hallmarks of Alzheimer’s disease (AD). Amyloid positron emission tomography (PET) is a neuroimaging tool that selectively detects in vivo amyloid deposition in the brain and is a reliable endophenotype for AD that complements cerebrospinal fluid biomarkers with regional information. We measured in vivo amyloid deposition in the brains of ~1000 subjects from three collaborative AD centers and ADNI using
11
C-labeled Pittsburgh Compound-B (PiB)-PET imaging followed by meta-analysis of genome-wide association studies, first to our knowledge for PiB-PET, to identify novel genetic loci for this endophenotype. The
APOE
region showed the most significant association where several SNPs surpassed the genome-wide significant threshold, with
APOE*4
being most significant (
P
-meta = 9.09E-30;
β
= 0.18). Interestingly, after conditioning on
APOE*4
, 14 SNPs remained significant at
P
< 0.05 in the
APOE
region that were not in linkage disequilibrium with
APOE*4
. Outside the
APOE
region, the meta-analysis revealed 15 non-
APOE
loci with
P
< 1E-05 on nine chromosomes, with two most significant SNPs on chromosomes 8 (
P-
meta = 4.87E-07) and 3 (
P-
meta = 9.69E-07). Functional analyses of these SNPs indicate their potential relevance with AD pathogenesis. Top 15 non-
APOE
SNPs along with
APOE*4
explained 25–35% of the amyloid variance in different datasets, of which 14–17% was explained by
APOE*4
alone. In conclusion, we have identified novel signals in
APOE
and non-
APOE
regions that affect amyloid deposition in the brain. Our data also highlights the presence of yet to be discovered variants that may be responsible for the unexplained genetic variance of amyloid deposition. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1359-4184 1476-5578 1476-5578 |
DOI: | 10.1038/s41380-018-0246-7 |