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Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene

Molecular mechanisms underlying Alzheimer's disease (AD) are difficult to investigate, partly because diagnosis lags behind the insidious pathological processes. Therefore, identifying AD neuroimaging markers and their genetic modifiers may help study early mechanisms of neurodegeneration. We a...

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Autores principales: Soheili‐Nezhad, Sourena, Jahanshad, Neda, Guelfi, Sebastian, Khosrowabadi, Reza, Saykin, Andrew J., Thompson, Paul M., Beckmann, Christian F., Sprooten, Emma, Zarei, Mojtaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416020/
https://www.ncbi.nlm.nih.gov/pubmed/32558014
http://dx.doi.org/10.1002/hbm.25083
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author Soheili‐Nezhad, Sourena
Jahanshad, Neda
Guelfi, Sebastian
Khosrowabadi, Reza
Saykin, Andrew J.
Thompson, Paul M.
Beckmann, Christian F.
Sprooten, Emma
Zarei, Mojtaba
author_facet Soheili‐Nezhad, Sourena
Jahanshad, Neda
Guelfi, Sebastian
Khosrowabadi, Reza
Saykin, Andrew J.
Thompson, Paul M.
Beckmann, Christian F.
Sprooten, Emma
Zarei, Mojtaba
author_sort Soheili‐Nezhad, Sourena
collection PubMed
description Molecular mechanisms underlying Alzheimer's disease (AD) are difficult to investigate, partly because diagnosis lags behind the insidious pathological processes. Therefore, identifying AD neuroimaging markers and their genetic modifiers may help study early mechanisms of neurodegeneration. We aimed to identify brain regions of the highest vulnerability to AD using a data‐driven search in the AD Neuroimaging Initiative (ADNI, n = 1,100 subjects), and further explored genetic variants affecting this critical brain trait using both ADNI and the younger UK Biobank cohort (n = 8,428 subjects). Tensor‐Based Morphometry (TBM) and Independent Component Analysis (ICA) identified the limbic system and its interconnecting white‐matter as the most AD‐vulnerable brain feature. Whole‐genome analysis revealed a common variant in SHARPIN that was associated with this imaging feature (rs34173062, p = 2.1 × 10(−10)). This genetic association was validated in the UK Biobank, where it was correlated with entorhinal cortical thickness bilaterally (p = .002 left and p = 8.6 × 10(−4) right), and with parental history of AD (p = 2.3 × 10(−6)). Our findings suggest that neuroanatomical variation in the limbic system and AD risk are associated with a novel variant in SHARPIN. The role of this postsynaptic density gene product in β1‐integrin adhesion is in line with the amyloid precursor protein (APP) intracellular signaling pathway and the recent genome‐wide evidence.
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spelling pubmed-74160202020-08-10 Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene Soheili‐Nezhad, Sourena Jahanshad, Neda Guelfi, Sebastian Khosrowabadi, Reza Saykin, Andrew J. Thompson, Paul M. Beckmann, Christian F. Sprooten, Emma Zarei, Mojtaba Hum Brain Mapp Research Articles Molecular mechanisms underlying Alzheimer's disease (AD) are difficult to investigate, partly because diagnosis lags behind the insidious pathological processes. Therefore, identifying AD neuroimaging markers and their genetic modifiers may help study early mechanisms of neurodegeneration. We aimed to identify brain regions of the highest vulnerability to AD using a data‐driven search in the AD Neuroimaging Initiative (ADNI, n = 1,100 subjects), and further explored genetic variants affecting this critical brain trait using both ADNI and the younger UK Biobank cohort (n = 8,428 subjects). Tensor‐Based Morphometry (TBM) and Independent Component Analysis (ICA) identified the limbic system and its interconnecting white‐matter as the most AD‐vulnerable brain feature. Whole‐genome analysis revealed a common variant in SHARPIN that was associated with this imaging feature (rs34173062, p = 2.1 × 10(−10)). This genetic association was validated in the UK Biobank, where it was correlated with entorhinal cortical thickness bilaterally (p = .002 left and p = 8.6 × 10(−4) right), and with parental history of AD (p = 2.3 × 10(−6)). Our findings suggest that neuroanatomical variation in the limbic system and AD risk are associated with a novel variant in SHARPIN. The role of this postsynaptic density gene product in β1‐integrin adhesion is in line with the amyloid precursor protein (APP) intracellular signaling pathway and the recent genome‐wide evidence. John Wiley & Sons, Inc. 2020-06-18 /pmc/articles/PMC7416020/ /pubmed/32558014 http://dx.doi.org/10.1002/hbm.25083 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Soheili‐Nezhad, Sourena
Jahanshad, Neda
Guelfi, Sebastian
Khosrowabadi, Reza
Saykin, Andrew J.
Thompson, Paul M.
Beckmann, Christian F.
Sprooten, Emma
Zarei, Mojtaba
Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene
title Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene
title_full Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene
title_fullStr Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene
title_full_unstemmed Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene
title_short Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene
title_sort imaging genomics discovery of a new risk variant for alzheimer's disease in the postsynaptic sharpin gene
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416020/
https://www.ncbi.nlm.nih.gov/pubmed/32558014
http://dx.doi.org/10.1002/hbm.25083
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