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Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging

Authors :
Chester A. Mathis
Xingbin Wang
Jorge L. Del-Aguila
Kang-Hsien Fan
William E. Klunk
Oscar L. Lopez
Eleanor Feingold
M. Ilyas Kamboh
Beth E. Snitz
Carlos Cruchaga
F. Yesim Demirci
Qi Yan
Kwangsik Nho
Howard J. Aizenstein
Andrew J. Saykin
Shannon L. Risacher
Source :
Molecular psychiatry
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

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 11C-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 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 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.

Details

ISSN :
14765578 and 13594184
Volume :
26
Database :
OpenAIRE
Journal :
Molecular Psychiatry
Accession number :
edsair.doi.dedup.....3dd98b031716117ed99443471a4097bb
Full Text :
https://doi.org/10.1038/s41380-018-0246-7