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Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease

BACKGROUND: Simultaneous consideration of two neuropathological traits related to Alzheimer’s disease (AD) has not been attempted in a genome-wide association study. METHODS: We conducted genome-wide pleiotropy analyses using association summary statistics from the Beecham et al. study (PLoS Genet 1...

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Autores principales: Chung, Jaeyoon, Zhang, Xiaoling, Allen, Mariet, Wang, Xue, Ma, Yiyi, Beecham, Gary, Montine, Thomas J., Younkin, Steven G., Dickson, Dennis W., Golde, Todd E., Price, Nathan D., Ertekin-Taner, Nilüfer, Lunetta, Kathryn L., Mez, Jesse, Mayeux, Richard, Haines, Jonathan L., Pericak-Vance, Margaret A., Schellenberg, Gerard, Jun, Gyungah R., Farrer, Lindsay A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819208/
https://www.ncbi.nlm.nih.gov/pubmed/29458411
http://dx.doi.org/10.1186/s13195-018-0349-z
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author Chung, Jaeyoon
Zhang, Xiaoling
Allen, Mariet
Wang, Xue
Ma, Yiyi
Beecham, Gary
Montine, Thomas J.
Younkin, Steven G.
Dickson, Dennis W.
Golde, Todd E.
Price, Nathan D.
Ertekin-Taner, Nilüfer
Lunetta, Kathryn L.
Mez, Jesse
Mayeux, Richard
Haines, Jonathan L.
Pericak-Vance, Margaret A.
Schellenberg, Gerard
Jun, Gyungah R.
Farrer, Lindsay A.
author_facet Chung, Jaeyoon
Zhang, Xiaoling
Allen, Mariet
Wang, Xue
Ma, Yiyi
Beecham, Gary
Montine, Thomas J.
Younkin, Steven G.
Dickson, Dennis W.
Golde, Todd E.
Price, Nathan D.
Ertekin-Taner, Nilüfer
Lunetta, Kathryn L.
Mez, Jesse
Mayeux, Richard
Haines, Jonathan L.
Pericak-Vance, Margaret A.
Schellenberg, Gerard
Jun, Gyungah R.
Farrer, Lindsay A.
author_sort Chung, Jaeyoon
collection PubMed
description BACKGROUND: Simultaneous consideration of two neuropathological traits related to Alzheimer’s disease (AD) has not been attempted in a genome-wide association study. METHODS: We conducted genome-wide pleiotropy analyses using association summary statistics from the Beecham et al. study (PLoS Genet 10:e1004606, 2014) for AD-related neuropathological traits, including neuritic plaque (NP), neurofibrillary tangle (NFT), and cerebral amyloid angiopathy (CAA). Significant findings were further examined by expression quantitative trait locus and differentially expressed gene analyses in AD vs. control brains using gene expression data. RESULTS: Genome-wide significant pleiotropic associations were observed for the joint model of NP and NFT (NP + NFT) with the single-nucleotide polymorphism (SNP) rs34487851 upstream of C2orf40 (alias ECRG4, P = 2.4 × 10(−8)) and for the joint model of NFT and CAA (NFT + CAA) with the HDAC9 SNP rs79524815 (P = 1.1 × 10(−8)). Gene-based testing revealed study-wide significant associations (P ≤ 2.0 × 10(−6)) for the NFT + CAA outcome with adjacent genes TRAPPC12, TRAPPC12-AS1, and ADI1. Risk alleles of proxy SNPs for rs79524815 were associated with significantly lower expression of HDAC9 in the brain (P = 3.0 × 10(−3)), and HDAC9 was significantly downregulated in subjects with AD compared with control subjects in the prefrontal (P = 7.9 × 10(−3)) and visual (P = 5.6 × 10(−4)) cortices. CONCLUSIONS: Our findings suggest that pleiotropy analysis is a useful approach to identifying novel genetic associations with complex diseases and their endophenotypes. Functional studies are needed to determine whether ECRG4 or HDAC9 is plausible as a therapeutic target. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0349-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-58192082018-02-21 Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease Chung, Jaeyoon Zhang, Xiaoling Allen, Mariet Wang, Xue Ma, Yiyi Beecham, Gary Montine, Thomas J. Younkin, Steven G. Dickson, Dennis W. Golde, Todd E. Price, Nathan D. Ertekin-Taner, Nilüfer Lunetta, Kathryn L. Mez, Jesse Mayeux, Richard Haines, Jonathan L. Pericak-Vance, Margaret A. Schellenberg, Gerard Jun, Gyungah R. Farrer, Lindsay A. Alzheimers Res Ther Research BACKGROUND: Simultaneous consideration of two neuropathological traits related to Alzheimer’s disease (AD) has not been attempted in a genome-wide association study. METHODS: We conducted genome-wide pleiotropy analyses using association summary statistics from the Beecham et al. study (PLoS Genet 10:e1004606, 2014) for AD-related neuropathological traits, including neuritic plaque (NP), neurofibrillary tangle (NFT), and cerebral amyloid angiopathy (CAA). Significant findings were further examined by expression quantitative trait locus and differentially expressed gene analyses in AD vs. control brains using gene expression data. RESULTS: Genome-wide significant pleiotropic associations were observed for the joint model of NP and NFT (NP + NFT) with the single-nucleotide polymorphism (SNP) rs34487851 upstream of C2orf40 (alias ECRG4, P = 2.4 × 10(−8)) and for the joint model of NFT and CAA (NFT + CAA) with the HDAC9 SNP rs79524815 (P = 1.1 × 10(−8)). Gene-based testing revealed study-wide significant associations (P ≤ 2.0 × 10(−6)) for the NFT + CAA outcome with adjacent genes TRAPPC12, TRAPPC12-AS1, and ADI1. Risk alleles of proxy SNPs for rs79524815 were associated with significantly lower expression of HDAC9 in the brain (P = 3.0 × 10(−3)), and HDAC9 was significantly downregulated in subjects with AD compared with control subjects in the prefrontal (P = 7.9 × 10(−3)) and visual (P = 5.6 × 10(−4)) cortices. CONCLUSIONS: Our findings suggest that pleiotropy analysis is a useful approach to identifying novel genetic associations with complex diseases and their endophenotypes. Functional studies are needed to determine whether ECRG4 or HDAC9 is plausible as a therapeutic target. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0349-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-20 /pmc/articles/PMC5819208/ /pubmed/29458411 http://dx.doi.org/10.1186/s13195-018-0349-z 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
Chung, Jaeyoon
Zhang, Xiaoling
Allen, Mariet
Wang, Xue
Ma, Yiyi
Beecham, Gary
Montine, Thomas J.
Younkin, Steven G.
Dickson, Dennis W.
Golde, Todd E.
Price, Nathan D.
Ertekin-Taner, Nilüfer
Lunetta, Kathryn L.
Mez, Jesse
Mayeux, Richard
Haines, Jonathan L.
Pericak-Vance, Margaret A.
Schellenberg, Gerard
Jun, Gyungah R.
Farrer, Lindsay A.
Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
title Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
title_full Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
title_fullStr Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
title_full_unstemmed Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
title_short Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
title_sort genome-wide pleiotropy analysis of neuropathological traits related to alzheimer’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819208/
https://www.ncbi.nlm.nih.gov/pubmed/29458411
http://dx.doi.org/10.1186/s13195-018-0349-z
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