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Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure

BACKGROUND: Alzheimer’s disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored. METHODS: We developed and...

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Autores principales: Li, Zeran, Del-Aguila, Jorge L., Dube, Umber, Budde, John, Martinez, Rita, Black, Kathleen, Xiao, Qingli, Cairns, Nigel J., Dougherty, Joseph D., Lee, Jin-Moo, Morris, John C., Bateman, Randall J., Karch, Celeste M., Cruchaga, Carlos, Harari, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992755/
https://www.ncbi.nlm.nih.gov/pubmed/29880032
http://dx.doi.org/10.1186/s13073-018-0551-4
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author Li, Zeran
Del-Aguila, Jorge L.
Dube, Umber
Budde, John
Martinez, Rita
Black, Kathleen
Xiao, Qingli
Cairns, Nigel J.
Dougherty, Joseph D.
Lee, Jin-Moo
Morris, John C.
Bateman, Randall J.
Karch, Celeste M.
Cruchaga, Carlos
Harari, Oscar
author_facet Li, Zeran
Del-Aguila, Jorge L.
Dube, Umber
Budde, John
Martinez, Rita
Black, Kathleen
Xiao, Qingli
Cairns, Nigel J.
Dougherty, Joseph D.
Lee, Jin-Moo
Morris, John C.
Bateman, Randall J.
Karch, Celeste M.
Cruchaga, Carlos
Harari, Oscar
author_sort Li, Zeran
collection PubMed
description BACKGROUND: Alzheimer’s disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored. METHODS: We developed and optimized a cell-type-specific expression reference panel and employed digital deconvolution methods to determine brain cellular distribution in three independent transcriptomic studies. RESULTS: We found that neuronal and astrocyte relative proportions differ between healthy and diseased brains and also among AD cases that carry specific genetic risk variants. Brain carriers of pathogenic mutations in APP, PSEN1, or PSEN2 presented lower neuron and higher astrocyte relative proportions compared to sporadic AD. Similarly, the APOE ε4 allele also showed decreased neuronal and increased astrocyte relative proportions compared to AD non-carriers. In contrast, carriers of variants in TREM2 risk showed a lower degree of neuronal loss compared to matched AD cases in multiple independent studies. CONCLUSIONS: These findings suggest that genetic risk factors associated with AD etiology have a specific imprinting in the cellular composition of AD brains. Our digital deconvolution reference panel provides an enhanced understanding of the fundamental molecular mechanisms underlying neurodegeneration, enabling the analysis of large bulk RNA-sequencing studies for cell composition and suggests that correcting for the cellular structure when performing transcriptomic analysis will lead to novel insights of AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0551-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-59927552018-07-05 Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure Li, Zeran Del-Aguila, Jorge L. Dube, Umber Budde, John Martinez, Rita Black, Kathleen Xiao, Qingli Cairns, Nigel J. Dougherty, Joseph D. Lee, Jin-Moo Morris, John C. Bateman, Randall J. Karch, Celeste M. Cruchaga, Carlos Harari, Oscar Genome Med Research BACKGROUND: Alzheimer’s disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored. METHODS: We developed and optimized a cell-type-specific expression reference panel and employed digital deconvolution methods to determine brain cellular distribution in three independent transcriptomic studies. RESULTS: We found that neuronal and astrocyte relative proportions differ between healthy and diseased brains and also among AD cases that carry specific genetic risk variants. Brain carriers of pathogenic mutations in APP, PSEN1, or PSEN2 presented lower neuron and higher astrocyte relative proportions compared to sporadic AD. Similarly, the APOE ε4 allele also showed decreased neuronal and increased astrocyte relative proportions compared to AD non-carriers. In contrast, carriers of variants in TREM2 risk showed a lower degree of neuronal loss compared to matched AD cases in multiple independent studies. CONCLUSIONS: These findings suggest that genetic risk factors associated with AD etiology have a specific imprinting in the cellular composition of AD brains. Our digital deconvolution reference panel provides an enhanced understanding of the fundamental molecular mechanisms underlying neurodegeneration, enabling the analysis of large bulk RNA-sequencing studies for cell composition and suggests that correcting for the cellular structure when performing transcriptomic analysis will lead to novel insights of AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0551-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-08 /pmc/articles/PMC5992755/ /pubmed/29880032 http://dx.doi.org/10.1186/s13073-018-0551-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Li, Zeran
Del-Aguila, Jorge L.
Dube, Umber
Budde, John
Martinez, Rita
Black, Kathleen
Xiao, Qingli
Cairns, Nigel J.
Dougherty, Joseph D.
Lee, Jin-Moo
Morris, John C.
Bateman, Randall J.
Karch, Celeste M.
Cruchaga, Carlos
Harari, Oscar
Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
title Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
title_full Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
title_fullStr Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
title_full_unstemmed Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
title_short Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
title_sort genetic variants associated with alzheimer’s disease confer different cerebral cortex cell-type population structure
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992755/
https://www.ncbi.nlm.nih.gov/pubmed/29880032
http://dx.doi.org/10.1186/s13073-018-0551-4
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