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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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
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. |
---|---|
AbstractList | 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 .sup.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; [beta] = 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. 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 < 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. 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. 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 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. 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 < 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.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 < 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. |
Audience | Academic |
Author | Nho, Kwangsik Del-Aguila, Jorge L. Risacher, Shannon L. Yan, Qi Aizenstein, Howard J. Feingold, Eleanor Wang, Xingbin Snitz, Beth E. Klunk, William E. Lopez, Oscar L. Fan, Kang-Hsien Mathis, Chester A. Saykin, Andrew J. Cruchaga, Carlos Demirci, F. Yesim Kamboh, M. Ilyas |
Author_xml | – sequence: 1 givenname: Qi surname: Yan fullname: Yan, Qi organization: Department of Human Genetics, University of Pittsburgh, Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh – sequence: 2 givenname: Kwangsik surname: Nho fullname: Nho, Kwangsik organization: Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indiana Alzheimer Disease Center, Indiana University School of Medicine – sequence: 3 givenname: Jorge L. orcidid: 0000-0002-6364-8707 surname: Del-Aguila fullname: Del-Aguila, Jorge L. organization: Department of Psychiatry, Washington University School of Medicine – sequence: 4 givenname: Xingbin surname: Wang fullname: Wang, Xingbin organization: Department of Human Genetics, University of Pittsburgh – sequence: 5 givenname: Shannon L. surname: Risacher fullname: Risacher, Shannon L. organization: Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indiana Alzheimer Disease Center, Indiana University School of Medicine – sequence: 6 givenname: Kang-Hsien surname: Fan fullname: Fan, Kang-Hsien organization: Department of Human Genetics, University of Pittsburgh – sequence: 7 givenname: Beth E. surname: Snitz fullname: Snitz, Beth E. organization: Department of Neurology, University of Pittsburgh, Alzheimer Disease Research Center, University of Pittsburgh – sequence: 8 givenname: Howard J. surname: Aizenstein fullname: Aizenstein, Howard J. organization: Department of Psychiatry, University of Pittsburgh – sequence: 9 givenname: Chester A. surname: Mathis fullname: Mathis, Chester A. organization: Alzheimer Disease Research Center, University of Pittsburgh, Department of Radiology, University of Pittsburgh – sequence: 10 givenname: Oscar L. surname: Lopez fullname: Lopez, Oscar L. organization: Department of Neurology, University of Pittsburgh, Alzheimer Disease Research Center, University of Pittsburgh, Department of Psychiatry, University of Pittsburgh – sequence: 11 givenname: F. Yesim surname: Demirci fullname: Demirci, F. Yesim organization: Department of Human Genetics, University of Pittsburgh – sequence: 12 givenname: Eleanor surname: Feingold fullname: Feingold, Eleanor organization: Department of Human Genetics, University of Pittsburgh – sequence: 13 givenname: William E. orcidid: 0000-0001-5512-0251 surname: Klunk fullname: Klunk, William E. organization: Department of Neurology, University of Pittsburgh, Alzheimer Disease Research Center, University of Pittsburgh, Department of Psychiatry, University of Pittsburgh – sequence: 14 givenname: Andrew J. orcidid: 0000-0002-1376-8532 surname: Saykin fullname: Saykin, Andrew J. organization: Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indiana Alzheimer Disease Center, Indiana University School of Medicine – sequence: 16 givenname: Carlos surname: Cruchaga fullname: Cruchaga, Carlos organization: Department of Psychiatry, Washington University School of Medicine – sequence: 17 givenname: M. Ilyas surname: Kamboh fullname: Kamboh, M. Ilyas email: kamboh@pitt.edu organization: Department of Human Genetics, University of Pittsburgh, Alzheimer Disease Research Center, University of Pittsburgh, Department of Psychiatry, University of Pittsburgh |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30361487$$D View this record in MEDLINE/PubMed |
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CorporateAuthor | for the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Alzheimer’s Disease Neuroimaging Initiative (ADNI) |
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Snippet | Deposition of amyloid plaques in the brain is one of the two main pathological hallmarks of Alzheimer’s disease (AD). Amyloid positron emission tomography... Deposition of amyloid plaques in the brain is one of the two main pathological hallmarks of Alzheimer's disease (AD). Amyloid positron emission tomography... |
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SubjectTerms | 45 45/43 631/208 631/477 Alzheimer Disease - diagnostic imaging Alzheimer Disease - genetics Alzheimer Disease - metabolism Alzheimer's disease Amyloid beta-Peptides - metabolism Amyloid beta-protein Aniline Compounds - analysis Apolipoprotein E Apolipoprotein E4 - genetics Apolipoproteins Behavioral Sciences Biological Psychology Brain Brain - diagnostic imaging Brain - metabolism Cerebrospinal fluid Development and progression Endophenotypes Female Genetic aspects Genetic diversity Genome-wide association studies Genome-Wide Association Study Genomes Health aspects Humans Identification and classification Linkage disequilibrium Male Medicine Medicine & Public Health Neurodegenerative diseases Neuroimaging Neurosciences PET imaging Pharmacotherapy Physiological aspects Polymorphism, Single Nucleotide - genetics Positron emission tomography Psychiatry Quantitative trait loci Senile plaques Single-nucleotide polymorphism Systematic review Thiazoles - analysis |
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Title | Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging |
URI | https://link.springer.com/article/10.1038/s41380-018-0246-7 https://www.ncbi.nlm.nih.gov/pubmed/30361487 https://www.proquest.com/docview/2478868812 https://www.proquest.com/docview/2126906917 https://pubmed.ncbi.nlm.nih.gov/PMC6219464 |
Volume | 26 |
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